diff --git a/doc/pub/week34/html/._week34-bs000.html b/doc/pub/week34/html/._week34-bs000.html
index 5535c47e1..01676c013 100644
--- a/doc/pub/week34/html/._week34-bs000.html
+++ b/doc/pub/week34/html/._week34-bs000.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs001.html b/doc/pub/week34/html/._week34-bs001.html
index ed7091469..a36ba57a1 100644
--- a/doc/pub/week34/html/._week34-bs001.html
+++ b/doc/pub/week34/html/._week34-bs001.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
@@ -351,9 +351,14 @@ MathJax.Hub.Config({
 <!-- !split -->
 <h2 id="overview-of-first-week" class="anchor">Overview of first week </h2>
 
-<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
-The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
-Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
+<p>The sessions on Tuesdays and Wednesdays last four hours and will
+include partly lectures in a flipped mode (promoting active learning)
+and work on exercices and projects.  The sessions will begin with
+lectures and questions and answers about the material to be covered
+every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
+and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
+possible for one of the groups. Max capacity per group is 30-40
+persons.
 </p>
 
 <p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
diff --git a/doc/pub/week34/html/._week34-bs002.html b/doc/pub/week34/html/._week34-bs002.html
index 2afc861d2..1752a0441 100644
--- a/doc/pub/week34/html/._week34-bs002.html
+++ b/doc/pub/week34/html/._week34-bs002.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
@@ -361,7 +361,7 @@ MathJax.Hub.Config({
 <li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
 <li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
 </ul>
-<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
+<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
 </div>
 </div>
 
diff --git a/doc/pub/week34/html/._week34-bs003.html b/doc/pub/week34/html/._week34-bs003.html
index efde81517..157b76b04 100644
--- a/doc/pub/week34/html/._week34-bs003.html
+++ b/doc/pub/week34/html/._week34-bs003.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs004.html b/doc/pub/week34/html/._week34-bs004.html
index d0bbf50ed..25fb27b66 100644
--- a/doc/pub/week34/html/._week34-bs004.html
+++ b/doc/pub/week34/html/._week34-bs004.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs005.html b/doc/pub/week34/html/._week34-bs005.html
index 77e8c81a6..979349ea8 100644
--- a/doc/pub/week34/html/._week34-bs005.html
+++ b/doc/pub/week34/html/._week34-bs005.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs006.html b/doc/pub/week34/html/._week34-bs006.html
index a49e5ca35..1fdf4bcf0 100644
--- a/doc/pub/week34/html/._week34-bs006.html
+++ b/doc/pub/week34/html/._week34-bs006.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
@@ -364,6 +364,9 @@ MathJax.Hub.Config({
   <li> <b>Office hours</b>: <em>Anytime</em>!  Individual or group office hours can be arranged either in person or  via zoom. Feel free to send an email for planning.</li> 
 </ul>
 <li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
+<li> Fahimeh Najafi,</li>
+<li> Mia K.O. Kvalsund,</li>
+<li> Karl Henrik Fredly,</li>
 </ul>
 </div>
 </div>
diff --git a/doc/pub/week34/html/._week34-bs007.html b/doc/pub/week34/html/._week34-bs007.html
index c24002d20..5afd3c1a5 100644
--- a/doc/pub/week34/html/._week34-bs007.html
+++ b/doc/pub/week34/html/._week34-bs007.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
@@ -356,9 +356,9 @@ MathJax.Hub.Config({
 <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
 
 <ol>
-<li> Project 1: October 11 (available September 5) graded with feedback)</li>
-<li> Project 2: November 11 (available October 7, graded with feedback)</li>
-<li> Project 3: December 9  (available November 11, graded with feedback)</li>
+<li> Project 1: October 9 (available September 4) graded with feedback)</li>
+<li> Project 2: November 6 (available October 6, graded with feedback)</li>
+<li> Project 3: December 11  (available November 10, graded with feedback)</li>
 </ol>
 <p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
 </div>
diff --git a/doc/pub/week34/html/._week34-bs008.html b/doc/pub/week34/html/._week34-bs008.html
index 67e154661..e285e4232 100644
--- a/doc/pub/week34/html/._week34-bs008.html
+++ b/doc/pub/week34/html/._week34-bs008.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs009.html b/doc/pub/week34/html/._week34-bs009.html
index 1e96d0cdf..50a0be203 100644
--- a/doc/pub/week34/html/._week34-bs009.html
+++ b/doc/pub/week34/html/._week34-bs009.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs010.html b/doc/pub/week34/html/._week34-bs010.html
index ba80584e7..e415e7487 100644
--- a/doc/pub/week34/html/._week34-bs010.html
+++ b/doc/pub/week34/html/._week34-bs010.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs011.html b/doc/pub/week34/html/._week34-bs011.html
index 705482fb2..d44bf3b85 100644
--- a/doc/pub/week34/html/._week34-bs011.html
+++ b/doc/pub/week34/html/._week34-bs011.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs012.html b/doc/pub/week34/html/._week34-bs012.html
index e2d93c59f..ab943dcac 100644
--- a/doc/pub/week34/html/._week34-bs012.html
+++ b/doc/pub/week34/html/._week34-bs012.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
@@ -349,20 +349,30 @@ MathJax.Hub.Config({
 <p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p> <!-- add vertical space -->
 <a name="part0012"></a>
 <!-- !split -->
-<h2 id="topics-covered-in-this-course-machine-learning" class="anchor">Topics covered in this course: Machine Learning </h2>
+<h2 id="topics-covered-in-this-course" class="anchor">Topics covered in this course </h2>
 
 <div class="panel panel-default">
 <div class="panel-body">
 <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
 <p>The following topics will be covered</p>
+
 <ul>
-<li> Linear Regression and Logistic Regression;</li>
-<li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
-<li> Decisions trees, Random Forests, Bagging and Boosting;</li>
-<li> Support vector machines;</li>
-<li> Bayesian linear and logistic regression (tentative);</li>
-<li> Boltzmann Machines (tentative);</li>
-<li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
+<li> Pre deep-learning revolution (2008 approx)</li>
+<ul>
+  <li> Linear Regression and Logistic Regression, classification and regression problems;</li>
+  <li> Bayesian linear and logistic regression, kernel regression;</li>
+  <li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
+  <li> Support vector machines (only survey);</li>
+  <li> Unsupervised learning and  dimensionality reduction, from PCA to clustering;</li>  
+</ul>
+<li> Deep learning</li>  
+<ul>
+  <li> Neural networks and deep learning;</li>
+  <li> Convolutional neural networks;</li>
+  <li> Recurrent neural networks;</li>
+  <li> Autoencoders</li>
+  <li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
+</ul>
 </ul>
 <p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
 </div>
diff --git a/doc/pub/week34/html/._week34-bs013.html b/doc/pub/week34/html/._week34-bs013.html
index 874ae9f0f..2a1310ced 100644
--- a/doc/pub/week34/html/._week34-bs013.html
+++ b/doc/pub/week34/html/._week34-bs013.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs014.html b/doc/pub/week34/html/._week34-bs014.html
index 85053f88f..d7eddeac3 100644
--- a/doc/pub/week34/html/._week34-bs014.html
+++ b/doc/pub/week34/html/._week34-bs014.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
@@ -352,17 +352,15 @@ MathJax.Hub.Config({
 <h2 id="other-courses-on-data-science-and-machine-learning-at-uio" class="anchor">Other courses on Data science and Machine Learning  at UiO </h2>
 
 <p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_self"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a>  gives an excellent overview of courses on Machine learning at UiO.</p>
-
 <ol>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_self">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_self">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
 <li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_self">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_self">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li> 
 <li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_self">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_self">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_self">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
-<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_self">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li> 
-<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_self">IN-STK5000  Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li> 
-<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_self">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
-<li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_self">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_self">IN3310/4310 Deep Learnig for Image Analysis</a></li>
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_self">STK4051 Computational Statistics</a></li>
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_self">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
 </ol>
diff --git a/doc/pub/week34/html/._week34-bs015.html b/doc/pub/week34/html/._week34-bs015.html
index 116ba8685..55e53f462 100644
--- a/doc/pub/week34/html/._week34-bs015.html
+++ b/doc/pub/week34/html/._week34-bs015.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs016.html b/doc/pub/week34/html/._week34-bs016.html
index 743bd1e58..c73c751db 100644
--- a/doc/pub/week34/html/._week34-bs016.html
+++ b/doc/pub/week34/html/._week34-bs016.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs017.html b/doc/pub/week34/html/._week34-bs017.html
index 18b0eb1aa..c9ab623ba 100644
--- a/doc/pub/week34/html/._week34-bs017.html
+++ b/doc/pub/week34/html/._week34-bs017.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs018.html b/doc/pub/week34/html/._week34-bs018.html
index ec96924e7..c37ac173f 100644
--- a/doc/pub/week34/html/._week34-bs018.html
+++ b/doc/pub/week34/html/._week34-bs018.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs019.html b/doc/pub/week34/html/._week34-bs019.html
index 4774b82e4..e4289ee41 100644
--- a/doc/pub/week34/html/._week34-bs019.html
+++ b/doc/pub/week34/html/._week34-bs019.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs020.html b/doc/pub/week34/html/._week34-bs020.html
index 07eb30b00..bde27eee6 100644
--- a/doc/pub/week34/html/._week34-bs020.html
+++ b/doc/pub/week34/html/._week34-bs020.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs021.html b/doc/pub/week34/html/._week34-bs021.html
index 83bcf3cdb..a1dfac6fe 100644
--- a/doc/pub/week34/html/._week34-bs021.html
+++ b/doc/pub/week34/html/._week34-bs021.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs022.html b/doc/pub/week34/html/._week34-bs022.html
index 7af6d7c65..0e5f66a6f 100644
--- a/doc/pub/week34/html/._week34-bs022.html
+++ b/doc/pub/week34/html/._week34-bs022.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs023.html b/doc/pub/week34/html/._week34-bs023.html
index c4c67d345..903ce69b4 100644
--- a/doc/pub/week34/html/._week34-bs023.html
+++ b/doc/pub/week34/html/._week34-bs023.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs024.html b/doc/pub/week34/html/._week34-bs024.html
index 6acaa48ec..a1ea92c01 100644
--- a/doc/pub/week34/html/._week34-bs024.html
+++ b/doc/pub/week34/html/._week34-bs024.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs025.html b/doc/pub/week34/html/._week34-bs025.html
index 31ddf4a62..59cb774fd 100644
--- a/doc/pub/week34/html/._week34-bs025.html
+++ b/doc/pub/week34/html/._week34-bs025.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs026.html b/doc/pub/week34/html/._week34-bs026.html
index 5d373cb79..eacce50bf 100644
--- a/doc/pub/week34/html/._week34-bs026.html
+++ b/doc/pub/week34/html/._week34-bs026.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs027.html b/doc/pub/week34/html/._week34-bs027.html
index f9d7064ac..685488259 100644
--- a/doc/pub/week34/html/._week34-bs027.html
+++ b/doc/pub/week34/html/._week34-bs027.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs028.html b/doc/pub/week34/html/._week34-bs028.html
index 10776df6a..727daca2d 100644
--- a/doc/pub/week34/html/._week34-bs028.html
+++ b/doc/pub/week34/html/._week34-bs028.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs029.html b/doc/pub/week34/html/._week34-bs029.html
index b2d964051..e64cb68ac 100644
--- a/doc/pub/week34/html/._week34-bs029.html
+++ b/doc/pub/week34/html/._week34-bs029.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs030.html b/doc/pub/week34/html/._week34-bs030.html
index 14cfc7e9f..82d9658d0 100644
--- a/doc/pub/week34/html/._week34-bs030.html
+++ b/doc/pub/week34/html/._week34-bs030.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs031.html b/doc/pub/week34/html/._week34-bs031.html
index 06bab9cd6..c907e8dde 100644
--- a/doc/pub/week34/html/._week34-bs031.html
+++ b/doc/pub/week34/html/._week34-bs031.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs032.html b/doc/pub/week34/html/._week34-bs032.html
index 233133c27..cb1d8d76d 100644
--- a/doc/pub/week34/html/._week34-bs032.html
+++ b/doc/pub/week34/html/._week34-bs032.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs033.html b/doc/pub/week34/html/._week34-bs033.html
index a63b48d83..195a15e79 100644
--- a/doc/pub/week34/html/._week34-bs033.html
+++ b/doc/pub/week34/html/._week34-bs033.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs034.html b/doc/pub/week34/html/._week34-bs034.html
index a8844b8d8..a077cb32e 100644
--- a/doc/pub/week34/html/._week34-bs034.html
+++ b/doc/pub/week34/html/._week34-bs034.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs035.html b/doc/pub/week34/html/._week34-bs035.html
index 03953a1a5..382a9c2bc 100644
--- a/doc/pub/week34/html/._week34-bs035.html
+++ b/doc/pub/week34/html/._week34-bs035.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs036.html b/doc/pub/week34/html/._week34-bs036.html
index 8ca92ea3f..3178be2ca 100644
--- a/doc/pub/week34/html/._week34-bs036.html
+++ b/doc/pub/week34/html/._week34-bs036.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs037.html b/doc/pub/week34/html/._week34-bs037.html
index 87310d9de..40c5ecbdd 100644
--- a/doc/pub/week34/html/._week34-bs037.html
+++ b/doc/pub/week34/html/._week34-bs037.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs038.html b/doc/pub/week34/html/._week34-bs038.html
index dc9693cd1..b653a654e 100644
--- a/doc/pub/week34/html/._week34-bs038.html
+++ b/doc/pub/week34/html/._week34-bs038.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs039.html b/doc/pub/week34/html/._week34-bs039.html
index 0fdbb6ba9..8dd2597bd 100644
--- a/doc/pub/week34/html/._week34-bs039.html
+++ b/doc/pub/week34/html/._week34-bs039.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs040.html b/doc/pub/week34/html/._week34-bs040.html
index 0b264ac15..d6293564f 100644
--- a/doc/pub/week34/html/._week34-bs040.html
+++ b/doc/pub/week34/html/._week34-bs040.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs041.html b/doc/pub/week34/html/._week34-bs041.html
index 37d697de4..908cf3901 100644
--- a/doc/pub/week34/html/._week34-bs041.html
+++ b/doc/pub/week34/html/._week34-bs041.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs042.html b/doc/pub/week34/html/._week34-bs042.html
index 1eff58f16..a31ad14d4 100644
--- a/doc/pub/week34/html/._week34-bs042.html
+++ b/doc/pub/week34/html/._week34-bs042.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs043.html b/doc/pub/week34/html/._week34-bs043.html
index 6751de814..3756c07bb 100644
--- a/doc/pub/week34/html/._week34-bs043.html
+++ b/doc/pub/week34/html/._week34-bs043.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs044.html b/doc/pub/week34/html/._week34-bs044.html
index 179569d42..9983edc15 100644
--- a/doc/pub/week34/html/._week34-bs044.html
+++ b/doc/pub/week34/html/._week34-bs044.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs045.html b/doc/pub/week34/html/._week34-bs045.html
index a35c5f4c2..a3192d40d 100644
--- a/doc/pub/week34/html/._week34-bs045.html
+++ b/doc/pub/week34/html/._week34-bs045.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs046.html b/doc/pub/week34/html/._week34-bs046.html
index 04af34a22..5cbdd93c1 100644
--- a/doc/pub/week34/html/._week34-bs046.html
+++ b/doc/pub/week34/html/._week34-bs046.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs047.html b/doc/pub/week34/html/._week34-bs047.html
index e77044dc8..28573d7be 100644
--- a/doc/pub/week34/html/._week34-bs047.html
+++ b/doc/pub/week34/html/._week34-bs047.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs048.html b/doc/pub/week34/html/._week34-bs048.html
index cc96c5ace..9bb8ad893 100644
--- a/doc/pub/week34/html/._week34-bs048.html
+++ b/doc/pub/week34/html/._week34-bs048.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs049.html b/doc/pub/week34/html/._week34-bs049.html
index f07e285b8..733f53868 100644
--- a/doc/pub/week34/html/._week34-bs049.html
+++ b/doc/pub/week34/html/._week34-bs049.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs050.html b/doc/pub/week34/html/._week34-bs050.html
index 55d3aafd0..7106636a1 100644
--- a/doc/pub/week34/html/._week34-bs050.html
+++ b/doc/pub/week34/html/._week34-bs050.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs051.html b/doc/pub/week34/html/._week34-bs051.html
index ede901188..115c58f56 100644
--- a/doc/pub/week34/html/._week34-bs051.html
+++ b/doc/pub/week34/html/._week34-bs051.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs052.html b/doc/pub/week34/html/._week34-bs052.html
index af4fb7339..00a802587 100644
--- a/doc/pub/week34/html/._week34-bs052.html
+++ b/doc/pub/week34/html/._week34-bs052.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs053.html b/doc/pub/week34/html/._week34-bs053.html
index 1274745bd..3dbc40bc0 100644
--- a/doc/pub/week34/html/._week34-bs053.html
+++ b/doc/pub/week34/html/._week34-bs053.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs054.html b/doc/pub/week34/html/._week34-bs054.html
index 1fc9e8586..3c2916c2d 100644
--- a/doc/pub/week34/html/._week34-bs054.html
+++ b/doc/pub/week34/html/._week34-bs054.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs055.html b/doc/pub/week34/html/._week34-bs055.html
index dc7c8134e..8af073f87 100644
--- a/doc/pub/week34/html/._week34-bs055.html
+++ b/doc/pub/week34/html/._week34-bs055.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs056.html b/doc/pub/week34/html/._week34-bs056.html
index 510ae64f7..cb147a771 100644
--- a/doc/pub/week34/html/._week34-bs056.html
+++ b/doc/pub/week34/html/._week34-bs056.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs057.html b/doc/pub/week34/html/._week34-bs057.html
index 10c3e24a9..1f6f36a93 100644
--- a/doc/pub/week34/html/._week34-bs057.html
+++ b/doc/pub/week34/html/._week34-bs057.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs058.html b/doc/pub/week34/html/._week34-bs058.html
index 1eb4e045c..fadd75486 100644
--- a/doc/pub/week34/html/._week34-bs058.html
+++ b/doc/pub/week34/html/._week34-bs058.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs059.html b/doc/pub/week34/html/._week34-bs059.html
index 3dab2ae88..a89cd8a3b 100644
--- a/doc/pub/week34/html/._week34-bs059.html
+++ b/doc/pub/week34/html/._week34-bs059.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs060.html b/doc/pub/week34/html/._week34-bs060.html
index 87aedb4e3..873d1e66a 100644
--- a/doc/pub/week34/html/._week34-bs060.html
+++ b/doc/pub/week34/html/._week34-bs060.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs061.html b/doc/pub/week34/html/._week34-bs061.html
index 761c4291d..da6acd7dd 100644
--- a/doc/pub/week34/html/._week34-bs061.html
+++ b/doc/pub/week34/html/._week34-bs061.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs062.html b/doc/pub/week34/html/._week34-bs062.html
index 9a4cc9710..5ffa52649 100644
--- a/doc/pub/week34/html/._week34-bs062.html
+++ b/doc/pub/week34/html/._week34-bs062.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs063.html b/doc/pub/week34/html/._week34-bs063.html
index c9b0336fb..98e3ba5a2 100644
--- a/doc/pub/week34/html/._week34-bs063.html
+++ b/doc/pub/week34/html/._week34-bs063.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/._week34-bs064.html b/doc/pub/week34/html/._week34-bs064.html
index e975ce7b5..f0af3e659 100644
--- a/doc/pub/week34/html/._week34-bs064.html
+++ b/doc/pub/week34/html/._week34-bs064.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/week34-bs.html b/doc/pub/week34/html/week34-bs.html
index 5535c47e1..01676c013 100644
--- a/doc/pub/week34/html/week34-bs.html
+++ b/doc/pub/week34/html/week34-bs.html
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
      <!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
-     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
+     <!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning  at UiO</b></a></li>
      <!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
diff --git a/doc/pub/week34/html/week34-reveal.html b/doc/pub/week34/html/week34-reveal.html
index 204c43815..f64e14c25 100644
--- a/doc/pub/week34/html/week34-reveal.html
+++ b/doc/pub/week34/html/week34-reveal.html
@@ -197,9 +197,14 @@ MathJax.Hub.Config({
 <section>
 <h2 id="overview-of-first-week">Overview of first week </h2>
 
-<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
-The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
-Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
+<p>The sessions on Tuesdays and Wednesdays last four hours and will
+include partly lectures in a flipped mode (promoting active learning)
+and work on exercices and projects.  The sessions will begin with
+lectures and questions and answers about the material to be covered
+every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
+and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
+possible for one of the groups. Max capacity per group is 30-40
+persons.
 </p>
 
 <p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
@@ -234,7 +239,7 @@ The first week we wtart with simple linear regression, a repetition of linear al
 <p><li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
 </ul>
 <p>
-<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
+<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
 </div>
 </section>
 
@@ -320,6 +325,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
 </ul>
 <p>
 <p><li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
+<p><li> Fahimeh Najafi,</li>
+<p><li> Mia K.O. Kvalsund,</li>
+<p><li> Karl Henrik Fredly,</li>
 </ul>
 </div>
 </section>
@@ -332,9 +340,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
 <p>
 
 <ol>
-<p><li> Project 1: October 11 (available September 5) graded with feedback)</li>
-<p><li> Project 2: November 11 (available October 7, graded with feedback)</li>
-<p><li> Project 3: December 9  (available November 11, graded with feedback)</li>
+<p><li> Project 1: October 9 (available September 4) graded with feedback)</li>
+<p><li> Project 2: November 6 (available October 6, graded with feedback)</li>
+<p><li> Project 3: December 11  (available November 10, graded with feedback)</li>
 </ol>
 <p>
 <p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
@@ -445,20 +453,42 @@ specifically, after this course you will
 </section>
 
 <section>
-<h2 id="topics-covered-in-this-course-machine-learning">Topics covered in this course: Machine Learning </h2>
+<h2 id="topics-covered-in-this-course">Topics covered in this course </h2>
 
 <div class="alert alert-block alert-block alert-text-normal">
 <b></b>
 <p>
 <p>The following topics will be covered</p>
+
 <ul>
-<p><li> Linear Regression and Logistic Regression;</li>
-<p><li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
-<p><li> Decisions trees, Random Forests, Bagging and Boosting;</li>
-<p><li> Support vector machines;</li>
-<p><li> Bayesian linear and logistic regression (tentative);</li>
-<p><li> Boltzmann Machines (tentative);</li>
-<p><li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
+<p><li> Pre deep-learning revolution (2008 approx)</li>
+<ul>
+
+<p><li> Linear Regression and Logistic Regression, classification and regression problems;</li>
+
+<p><li> Bayesian linear and logistic regression, kernel regression;</li>
+
+<p><li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
+
+<p><li> Support vector machines (only survey);</li>
+
+<p><li> Unsupervised learning and  dimensionality reduction, from PCA to clustering;</li>  
+</ul>
+<p>
+<p><li> Deep learning</li>  
+<ul>
+
+<p><li> Neural networks and deep learning;</li>
+
+<p><li> Convolutional neural networks;</li>
+
+<p><li> Recurrent neural networks;</li>
+
+<p><li> Autoencoders</li>
+
+<p><li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
+</ul>
+<p>
 </ul>
 <p>
 <p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
@@ -484,17 +514,15 @@ specifically, after this course you will
 <h2 id="other-courses-on-data-science-and-machine-learning-at-uio">Other courses on Data science and Machine Learning  at UiO </h2>
 
 <p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_blank"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a>  gives an excellent overview of courses on Machine learning at UiO.</p>
-
 <ol>
+<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_blank">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
+<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_blank">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
 <p><li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li> 
 <p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li> 
 <p><li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li> 
 <p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li> 
 <p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
-<p><li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li> 
-<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_blank">IN-STK5000  Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li> 
-<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_blank">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
-<p><li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_blank">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
+<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_blank">IN3310/4310 Deep Learnig for Image Analysis</a></li>
 <p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
 <p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
 </ol>
diff --git a/doc/pub/week34/html/week34-solarized.html b/doc/pub/week34/html/week34-solarized.html
index cdbbb4816..b988287ab 100644
--- a/doc/pub/week34/html/week34-solarized.html
+++ b/doc/pub/week34/html/week34-solarized.html
@@ -81,10 +81,10 @@ div.toc p,a {
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -303,9 +303,14 @@ MathJax.Hub.Config({
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="overview-of-first-week">Overview of first week </h2>
 
-<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
-The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
-Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
+<p>The sessions on Tuesdays and Wednesdays last four hours and will
+include partly lectures in a flipped mode (promoting active learning)
+and work on exercices and projects.  The sessions will begin with
+lectures and questions and answers about the material to be covered
+every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
+and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
+possible for one of the groups. Max capacity per group is 30-40
+persons.
 </p>
 
 <p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
@@ -336,7 +341,7 @@ The first week we wtart with simple linear regression, a repetition of linear al
 <li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
 <li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
 </ul>
-<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
+<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
 </div>
 
 
@@ -401,6 +406,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
   <li> <b>Office hours</b>: <em>Anytime</em>!  Individual or group office hours can be arranged either in person or  via zoom. Feel free to send an email for planning.</li> 
 </ul>
 <li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
+<li> Fahimeh Najafi,</li>
+<li> Mia K.O. Kvalsund,</li>
+<li> Karl Henrik Fredly,</li>
 </ul>
 </div>
 
@@ -413,9 +421,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
 <p>
 
 <ol>
-<li> Project 1: October 11 (available September 5) graded with feedback)</li>
-<li> Project 2: November 11 (available October 7, graded with feedback)</li>
-<li> Project 3: December 9  (available November 11, graded with feedback)</li>
+<li> Project 1: October 9 (available September 4) graded with feedback)</li>
+<li> Project 2: November 6 (available October 6, graded with feedback)</li>
+<li> Project 3: December 11  (available November 10, graded with feedback)</li>
 </ol>
 <p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
 </div>
@@ -519,20 +527,30 @@ specifically, after this course you will
 
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="topics-covered-in-this-course-machine-learning">Topics covered in this course: Machine Learning </h2>
+<h2 id="topics-covered-in-this-course">Topics covered in this course </h2>
 
 <div class="alert alert-block alert-block alert-text-normal">
 <b></b>
 <p>
 <p>The following topics will be covered</p>
+
 <ul>
-<li> Linear Regression and Logistic Regression;</li>
-<li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
-<li> Decisions trees, Random Forests, Bagging and Boosting;</li>
-<li> Support vector machines;</li>
-<li> Bayesian linear and logistic regression (tentative);</li>
-<li> Boltzmann Machines (tentative);</li>
-<li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
+<li> Pre deep-learning revolution (2008 approx)</li>
+<ul>
+  <li> Linear Regression and Logistic Regression, classification and regression problems;</li>
+  <li> Bayesian linear and logistic regression, kernel regression;</li>
+  <li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
+  <li> Support vector machines (only survey);</li>
+  <li> Unsupervised learning and  dimensionality reduction, from PCA to clustering;</li>  
+</ul>
+<li> Deep learning</li>  
+<ul>
+  <li> Neural networks and deep learning;</li>
+  <li> Convolutional neural networks;</li>
+  <li> Recurrent neural networks;</li>
+  <li> Autoencoders</li>
+  <li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
+</ul>
 </ul>
 <p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
 </div>
@@ -555,17 +573,15 @@ specifically, after this course you will
 <h2 id="other-courses-on-data-science-and-machine-learning-at-uio">Other courses on Data science and Machine Learning  at UiO </h2>
 
 <p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_blank"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a>  gives an excellent overview of courses on Machine learning at UiO.</p>
-
 <ol>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_blank">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_blank">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
 <li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li> 
 <li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
-<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li> 
-<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_blank">IN-STK5000  Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li> 
-<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_blank">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
-<li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_blank">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_blank">IN3310/4310 Deep Learnig for Image Analysis</a></li>
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
 </ol>
diff --git a/doc/pub/week34/html/week34.html b/doc/pub/week34/html/week34.html
index 27f69939a..99a12a765 100644
--- a/doc/pub/week34/html/week34.html
+++ b/doc/pub/week34/html/week34.html
@@ -158,10 +158,10 @@ div.toc p,a {
                2,
                None,
                'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
-              ('Topics covered in this course: Machine Learning',
+              ('Topics covered in this course',
                2,
                None,
-               'topics-covered-in-this-course-machine-learning'),
+               'topics-covered-in-this-course'),
               ('Extremely useful tools, strongly recommended',
                2,
                None,
@@ -380,9 +380,14 @@ MathJax.Hub.Config({
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="overview-of-first-week">Overview of first week </h2>
 
-<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
-The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
-Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
+<p>The sessions on Tuesdays and Wednesdays last four hours and will
+include partly lectures in a flipped mode (promoting active learning)
+and work on exercices and projects.  The sessions will begin with
+lectures and questions and answers about the material to be covered
+every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
+and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
+possible for one of the groups. Max capacity per group is 30-40
+persons.
 </p>
 
 <p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
@@ -413,7 +418,7 @@ The first week we wtart with simple linear regression, a repetition of linear al
 <li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
 <li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
 </ul>
-<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
+<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
 </div>
 
 
@@ -478,6 +483,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
   <li> <b>Office hours</b>: <em>Anytime</em>!  Individual or group office hours can be arranged either in person or  via zoom. Feel free to send an email for planning.</li> 
 </ul>
 <li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
+<li> Fahimeh Najafi,</li>
+<li> Mia K.O. Kvalsund,</li>
+<li> Karl Henrik Fredly,</li>
 </ul>
 </div>
 
@@ -490,9 +498,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
 <p>
 
 <ol>
-<li> Project 1: October 11 (available September 5) graded with feedback)</li>
-<li> Project 2: November 11 (available October 7, graded with feedback)</li>
-<li> Project 3: December 9  (available November 11, graded with feedback)</li>
+<li> Project 1: October 9 (available September 4) graded with feedback)</li>
+<li> Project 2: November 6 (available October 6, graded with feedback)</li>
+<li> Project 3: December 11  (available November 10, graded with feedback)</li>
 </ol>
 <p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
 </div>
@@ -596,20 +604,30 @@ specifically, after this course you will
 
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="topics-covered-in-this-course-machine-learning">Topics covered in this course: Machine Learning </h2>
+<h2 id="topics-covered-in-this-course">Topics covered in this course </h2>
 
 <div class="alert alert-block alert-block alert-text-normal">
 <b></b>
 <p>
 <p>The following topics will be covered</p>
+
 <ul>
-<li> Linear Regression and Logistic Regression;</li>
-<li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
-<li> Decisions trees, Random Forests, Bagging and Boosting;</li>
-<li> Support vector machines;</li>
-<li> Bayesian linear and logistic regression (tentative);</li>
-<li> Boltzmann Machines (tentative);</li>
-<li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
+<li> Pre deep-learning revolution (2008 approx)</li>
+<ul>
+  <li> Linear Regression and Logistic Regression, classification and regression problems;</li>
+  <li> Bayesian linear and logistic regression, kernel regression;</li>
+  <li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
+  <li> Support vector machines (only survey);</li>
+  <li> Unsupervised learning and  dimensionality reduction, from PCA to clustering;</li>  
+</ul>
+<li> Deep learning</li>  
+<ul>
+  <li> Neural networks and deep learning;</li>
+  <li> Convolutional neural networks;</li>
+  <li> Recurrent neural networks;</li>
+  <li> Autoencoders</li>
+  <li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
+</ul>
 </ul>
 <p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
 </div>
@@ -632,17 +650,15 @@ specifically, after this course you will
 <h2 id="other-courses-on-data-science-and-machine-learning-at-uio">Other courses on Data science and Machine Learning  at UiO </h2>
 
 <p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_blank"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a>  gives an excellent overview of courses on Machine learning at UiO.</p>
-
 <ol>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_blank">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_blank">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
 <li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li> 
 <li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li> 
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
-<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li> 
-<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_blank">IN-STK5000  Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li> 
-<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_blank">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
-<li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_blank">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_blank">IN3310/4310 Deep Learnig for Image Analysis</a></li>
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
 <li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
 </ol>
diff --git a/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz b/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz
index f97b39f6a..3c1fbaeb5 100644
Binary files a/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz and b/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz differ
diff --git a/doc/pub/week34/ipynb/week34.ipynb b/doc/pub/week34/ipynb/week34.ipynb
index faf515aac..04304131b 100644
--- a/doc/pub/week34/ipynb/week34.ipynb
+++ b/doc/pub/week34/ipynb/week34.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "8b9777c6",
+   "id": "9bcad2d1",
    "metadata": {
     "editable": true
    },
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "acd16a8a",
+   "id": "f1f7e495",
    "metadata": {
     "editable": true
    },
@@ -27,16 +27,21 @@
   },
   {
    "cell_type": "markdown",
-   "id": "96916371",
+   "id": "98528611",
    "metadata": {
     "editable": true
    },
    "source": [
     "## Overview of first week\n",
     "\n",
-    "The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.\n",
-    "The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and\n",
-    "Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.\n",
+    "The sessions on Tuesdays and Wednesdays last four hours and will\n",
+    "include partly lectures in a flipped mode (promoting active learning)\n",
+    "and work on exercices and projects.  The sessions will begin with\n",
+    "lectures and questions and answers about the material to be covered\n",
+    "every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm\n",
+    "and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as\n",
+    "possible for one of the groups. Max capacity per group is 30-40\n",
+    "persons.\n",
     "\n",
     "On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.\n",
     "The first week we wtart with simple linear regression, a repetition of linear algebra and elements of statistics needed for the course. \n",
@@ -50,7 +55,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ffef09fa",
+   "id": "61949e9a",
    "metadata": {
     "editable": true
    },
@@ -66,12 +71,12 @@
     "\n",
     "* AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow\n",
     "\n",
-    "Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <https://compphysics.github.io/MachineLearning/doc/web/course.html>"
+    "Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <https://compphysics.github.io/MachineLearning/doc/web/course.html> (these notes)."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "5b033472",
+   "id": "1ccdaf80",
    "metadata": {
     "editable": true
    },
@@ -95,7 +100,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "02792bce",
+   "id": "a3e5c61a",
    "metadata": {
     "editable": true
    },
@@ -109,7 +114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "123e4cb2",
+   "id": "bd07c123",
    "metadata": {
     "editable": true
    },
@@ -133,7 +138,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a815a674",
+   "id": "16fe7a9e",
    "metadata": {
     "editable": true
    },
@@ -149,30 +154,36 @@
     "\n",
     "  * **Office hours**: *Anytime*!  Individual or group office hours can be arranged either in person or  via zoom. Feel free to send an email for planning. \n",
     "\n",
-    "* Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no"
+    "* Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no\n",
+    "\n",
+    "* Fahimeh Najafi,\n",
+    "\n",
+    "* Mia K.O. Kvalsund,\n",
+    "\n",
+    "* Karl Henrik Fredly,"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "9a531853",
+   "id": "1227fdfe",
    "metadata": {
     "editable": true
    },
    "source": [
     "## Deadlines for projects (tentative)\n",
     "\n",
-    "1. Project 1: October 11 (available September 5) graded with feedback)\n",
+    "1. Project 1: October 9 (available September 4) graded with feedback)\n",
     "\n",
-    "2. Project 2: November 11 (available October 7, graded with feedback)\n",
+    "2. Project 2: November 6 (available October 6, graded with feedback)\n",
     "\n",
-    "3. Project 3: December 9  (available November 11, graded with feedback)\n",
+    "3. Project 3: December 11  (available November 10, graded with feedback)\n",
     "\n",
     "Projects are handed in using **Canvas**. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via **Canvas**."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "4e195b38",
+   "id": "1ea76bfd",
    "metadata": {
     "editable": true
    },
@@ -196,7 +207,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "22738da1",
+   "id": "0ac91d31",
    "metadata": {
     "editable": true
    },
@@ -216,7 +227,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c3d738c",
+   "id": "601ee370",
    "metadata": {
     "editable": true
    },
@@ -260,7 +271,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dbaf4234",
+   "id": "89b9fb7e",
    "metadata": {
     "editable": true
    },
@@ -295,34 +306,45 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7384883a",
+   "id": "f8db529e",
    "metadata": {
     "editable": true
    },
    "source": [
-    "## Topics covered in this course: Machine Learning\n",
+    "## Topics covered in this course\n",
     "\n",
     "The following topics will be covered\n",
-    "* Linear Regression and Logistic Regression;\n",
     "\n",
-    "* Neural networks and deep learning, including convolutional and recurrent neural networks;\n",
+    "* Pre deep-learning revolution (2008 approx)\n",
     "\n",
-    "* Decisions trees, Random Forests, Bagging and Boosting;\n",
+    "  * Linear Regression and Logistic Regression, classification and regression problems;\n",
     "\n",
-    "* Support vector machines;\n",
+    "  * Bayesian linear and logistic regression, kernel regression;\n",
     "\n",
-    "* Bayesian linear and logistic regression (tentative);\n",
+    "  * Decisions trees, Random Forests, Bagging and Boosting methods;\n",
     "\n",
-    "* Boltzmann Machines (tentative);\n",
+    "  * Support vector machines (only survey);\n",
     "\n",
-    "* Unsupervised learning Dimensionality reduction, from PCA to clustering;\n",
+    "  * Unsupervised learning and  dimensionality reduction, from PCA to clustering;  \n",
+    "\n",
+    "* Deep learning  \n",
+    "\n",
+    "  * Neural networks and deep learning;\n",
+    "\n",
+    "  * Convolutional neural networks;\n",
+    "\n",
+    "  * Recurrent neural networks;\n",
+    "\n",
+    "  * Autoencoders\n",
+    "\n",
+    "  * Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;\n",
     "\n",
     "Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "c75a1d5b",
+   "id": "980a6018",
    "metadata": {
     "editable": true
    },
@@ -338,7 +360,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a6d47775",
+   "id": "e786c841",
    "metadata": {
     "editable": true
    },
@@ -346,33 +368,30 @@
     "## Other courses on Data science and Machine Learning  at UiO\n",
     "\n",
     "The link here <https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/>  gives an excellent overview of courses on Machine learning at UiO.\n",
+    "1. [FYS5419 Quantum Computing and Quantum Machine Learning](https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html)\n",
     "\n",
-    "1. [STK2100 Machine learning and statistical methods for prediction and classification](http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html). \n",
+    "2. [FYS5429 Advanced Machine Learning for the Physical Sciences](https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html)\n",
     "\n",
-    "2. [IN3050/4050 Introduction to Artificial Intelligence and Machine Learning](https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html). Introductory course in machine learning and AI with an algorithmic approach. \n",
+    "3. [STK2100 Machine learning and statistical methods for prediction and classification](http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html). \n",
     "\n",
-    "3. [STK-INF3000/4000 Selected Topics in Data Science](http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html). The course provides insight into selected contemporary relevant topics within Data Science. \n",
+    "4. [IN3050/4050 Introduction to Artificial Intelligence and Machine Learning](https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html). Introductory course in machine learning and AI with an algorithmic approach. \n",
     "\n",
-    "4. [IN4080 Natural Language Processing](https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html). Probabilistic and machine learning techniques applied to natural language processing. \n",
+    "5. [STK-INF3000/4000 Selected Topics in Data Science](http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html). The course provides insight into selected contemporary relevant topics within Data Science. \n",
     "\n",
-    "5. [STK-IN4300 Statistical learning methods in Data Science](https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html). An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.\n",
+    "6. [IN4080 Natural Language Processing](https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html). Probabilistic and machine learning techniques applied to natural language processing. \n",
     "\n",
-    "6. [INF4490 Biologically Inspired Computing](http://www.uio.no/studier/emner/matnat/ifi/INF4490/). An introduction to self-adapting methods also called artificial intelligence or machine learning. \n",
+    "7. [STK-IN4300 Statistical learning methods in Data Science](https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html). An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.\n",
     "\n",
-    "7. [IN-STK5000  Adaptive Methods for Data-Based Decision Making](https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html). Methods for adaptive collection and processing of data based on machine learning techniques. \n",
+    "8. [IN3310/4310 Deep Learnig for Image Analysis](https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html)\n",
     "\n",
-    "8. [IN5400/INF5860 Machine Learning for Image Analysis](https://www.uio.no/studier/emner/matnat/ifi/IN5400/). An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.\n",
+    "9. [STK4051 Computational Statistics](https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html)\n",
     "\n",
-    "9. [TEK5040 Deep learning for autonomous systems](https://www.uio.no/studier/emner/matnat/its/TEK5040/). The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.\n",
-    "\n",
-    "10. [STK4051 Computational Statistics](https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html)\n",
-    "\n",
-    "11. [STK4021 Applied Bayesian Analysis and Numerical Methods](https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html)"
+    "10. [STK4021 Applied Bayesian Analysis and Numerical Methods](https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "897e445c",
+   "id": "cf1aad12",
    "metadata": {
     "editable": true
    },
@@ -415,7 +434,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d2689464",
+   "id": "b061abc7",
    "metadata": {
     "editable": true
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@@ -488,7 +507,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "75f2d7ca",
+   "id": "f9dd3ba8",
    "metadata": {
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@@ -517,7 +536,7 @@
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   {
    "cell_type": "markdown",
-   "id": "c97b7db8",
+   "id": "bc7d56bb",
    "metadata": {
     "editable": true
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@@ -535,7 +554,7 @@
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   {
    "cell_type": "markdown",
-   "id": "775723d5",
+   "id": "561fe39e",
    "metadata": {
     "editable": true
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@@ -547,7 +566,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9707050f",
+   "id": "ca728abc",
    "metadata": {
     "editable": true
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@@ -582,7 +601,7 @@
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   {
    "cell_type": "markdown",
-   "id": "dee9990f",
+   "id": "a62a4128",
    "metadata": {
     "editable": true
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@@ -612,7 +631,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9aa788df",
+   "id": "09cc3db5",
    "metadata": {
     "editable": true
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@@ -643,7 +662,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1c750909",
+   "id": "d0e8a7bc",
    "metadata": {
     "editable": true
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@@ -682,7 +701,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6c127b62",
+   "id": "c091a96c",
    "metadata": {
     "editable": true
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@@ -715,7 +734,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "40bf662f",
+   "id": "ca381c65",
    "metadata": {
     "editable": true
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@@ -750,7 +769,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "21683bbf",
+   "id": "81c03fba",
    "metadata": {
     "editable": true
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@@ -774,7 +793,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48c2b586",
+   "id": "38cff3ad",
    "metadata": {
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@@ -801,7 +820,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ba434e7c",
+   "id": "50d13396",
    "metadata": {
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@@ -811,7 +830,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9bd080e3",
+   "id": "9b809407",
    "metadata": {
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@@ -825,7 +844,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6518ee4d",
+   "id": "81db5b40",
    "metadata": {
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@@ -846,7 +865,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8ffd703e",
+   "id": "d25ece86",
    "metadata": {
     "editable": true
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@@ -858,7 +877,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ff96b37b",
+   "id": "287a0fe1",
    "metadata": {
     "editable": true
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@@ -881,7 +900,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "371a4508",
+   "id": "8a937437",
    "metadata": {
     "editable": true
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@@ -891,7 +910,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b4e26aa9",
+   "id": "5a6128b0",
    "metadata": {
     "editable": true
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@@ -903,7 +922,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a94594a5",
+   "id": "a0a27d27",
    "metadata": {
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@@ -924,7 +943,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5222bd5a",
+   "id": "1d1604eb",
    "metadata": {
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@@ -952,7 +971,7 @@
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   {
    "cell_type": "markdown",
-   "id": "1b0d7493",
+   "id": "d2c9a894",
    "metadata": {
     "editable": true
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@@ -978,7 +997,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "94ed4c6a",
+   "id": "d8aebe6c",
    "metadata": {
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@@ -990,7 +1009,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "b1459fc4",
+   "id": "05dba297",
    "metadata": {
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     "editable": true
@@ -1002,7 +1021,7 @@
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   {
    "cell_type": "markdown",
-   "id": "04705cca",
+   "id": "f71d2aed",
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@@ -1013,7 +1032,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "2a1f8b90",
+   "id": "3f00f213",
    "metadata": {
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     "editable": true
@@ -1027,7 +1046,7 @@
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   {
    "cell_type": "markdown",
-   "id": "b9be8d3a",
+   "id": "77381614",
    "metadata": {
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@@ -1039,7 +1058,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "7dd99a57",
+   "id": "3edea1ec",
    "metadata": {
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     "editable": true
@@ -1053,7 +1072,7 @@
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   {
    "cell_type": "markdown",
-   "id": "a569f5be",
+   "id": "bb564ff9",
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@@ -1065,7 +1084,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "6864f83f",
+   "id": "c8978cd4",
    "metadata": {
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     "editable": true
@@ -1079,7 +1098,7 @@
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   {
    "cell_type": "markdown",
-   "id": "ab1171d1",
+   "id": "3dc85cfa",
    "metadata": {
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@@ -1096,7 +1115,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "9bc655ea",
+   "id": "e82f46c0",
    "metadata": {
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     "editable": true
@@ -1113,7 +1132,7 @@
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   {
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-   "id": "6efdbe8e",
+   "id": "6528ba39",
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@@ -1125,7 +1144,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "f44de584",
+   "id": "94eba364",
    "metadata": {
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     "editable": true
@@ -1139,7 +1158,7 @@
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   {
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-   "id": "45c78014",
+   "id": "71a4c9d9",
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@@ -1150,7 +1169,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "126d19b8",
+   "id": "e2deb405",
    "metadata": {
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     "editable": true
@@ -1164,7 +1183,7 @@
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   {
    "cell_type": "markdown",
-   "id": "bd7e9040",
+   "id": "5abb5f93",
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@@ -1175,7 +1194,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "5feccba1",
+   "id": "4d5b01bc",
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     "editable": true
@@ -1189,7 +1208,7 @@
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   {
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-   "id": "26165fb9",
+   "id": "cc42c891",
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@@ -1204,7 +1223,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "8e594928",
+   "id": "bc91f5d3",
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     "editable": true
@@ -1218,7 +1237,7 @@
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   {
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-   "id": "79f971ac",
+   "id": "2a161c29",
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@@ -1229,7 +1248,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "b8a4cedd",
+   "id": "ae8dcdcf",
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@@ -1244,7 +1263,7 @@
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   {
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-   "id": "65345a9a",
+   "id": "2e6a94fc",
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@@ -1255,7 +1274,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "5a9c43ea",
+   "id": "9a2b3e48",
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@@ -1270,7 +1289,7 @@
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-   "id": "54e140cf",
+   "id": "1ff84a10",
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@@ -1281,7 +1300,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "929cdd8e",
+   "id": "6763ea0a",
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@@ -1297,7 +1316,7 @@
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   {
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-   "id": "bbd189c9",
+   "id": "0a7a31f5",
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@@ -1308,7 +1327,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "7d3a1475",
+   "id": "759c9bbb",
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@@ -1324,7 +1343,7 @@
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   {
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-   "id": "87ba8a4a",
+   "id": "9c6afa2d",
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@@ -1335,7 +1354,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "734aee9d",
+   "id": "4e21e3ea",
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     "editable": true
@@ -1351,7 +1370,7 @@
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-   "id": "1417354f",
+   "id": "6a142afa",
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@@ -1363,7 +1382,7 @@
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   {
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-   "id": "82ec7f3f",
+   "id": "1b81b1b5",
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@@ -1378,7 +1397,7 @@
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@@ -1388,7 +1407,7 @@
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@@ -1400,7 +1419,7 @@
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@@ -1411,7 +1430,7 @@
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@@ -1426,7 +1445,7 @@
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@@ -1441,7 +1460,7 @@
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@@ -1468,7 +1487,7 @@
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@@ -1492,7 +1511,7 @@
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@@ -1518,7 +1537,7 @@
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@@ -1538,7 +1557,7 @@
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@@ -1552,7 +1571,7 @@
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@@ -1565,7 +1584,7 @@
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@@ -1576,7 +1595,7 @@
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@@ -1588,7 +1607,7 @@
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@@ -1599,7 +1618,7 @@
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@@ -1617,7 +1636,7 @@
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@@ -1629,7 +1648,7 @@
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@@ -1653,7 +1672,7 @@
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@@ -1664,7 +1683,7 @@
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-   "id": "9bea2b8e",
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@@ -1693,7 +1712,7 @@
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@@ -1704,7 +1723,7 @@
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@@ -1719,7 +1738,7 @@
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@@ -1736,7 +1755,7 @@
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@@ -1750,7 +1769,7 @@
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@@ -1781,7 +1800,7 @@
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@@ -1793,7 +1812,7 @@
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@@ -1821,7 +1840,7 @@
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-   "id": "97ab9bf3",
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@@ -1851,7 +1870,7 @@
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@@ -1868,7 +1887,7 @@
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@@ -1880,7 +1899,7 @@
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@@ -1901,7 +1920,7 @@
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@@ -1914,7 +1933,7 @@
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@@ -1945,7 +1964,7 @@
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@@ -1957,7 +1976,7 @@
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@@ -1975,7 +1994,7 @@
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@@ -2002,7 +2021,7 @@
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@@ -2024,7 +2043,7 @@
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-   "id": "ca057525",
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@@ -2062,7 +2081,7 @@
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@@ -2073,7 +2092,7 @@
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@@ -2086,7 +2105,7 @@
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@@ -2107,7 +2126,7 @@
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@@ -2119,7 +2138,7 @@
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@@ -2129,7 +2148,7 @@
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@@ -2141,7 +2160,7 @@
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@@ -2153,7 +2172,7 @@
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@@ -2165,7 +2184,7 @@
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@@ -2176,7 +2195,7 @@
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@@ -2188,7 +2207,7 @@
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@@ -2210,7 +2229,7 @@
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@@ -2222,7 +2241,7 @@
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@@ -2238,7 +2257,7 @@
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-   "id": "d7e5f6d9",
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@@ -2279,7 +2298,7 @@
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@@ -2296,7 +2315,7 @@
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@@ -2308,7 +2327,7 @@
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@@ -2318,7 +2337,7 @@
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@@ -2330,7 +2349,7 @@
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@@ -2340,7 +2359,7 @@
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@@ -2352,7 +2371,7 @@
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@@ -2362,7 +2381,7 @@
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@@ -2374,7 +2393,7 @@
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@@ -2390,7 +2409,7 @@
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@@ -2402,7 +2421,7 @@
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@@ -2413,7 +2432,7 @@
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@@ -2425,7 +2444,7 @@
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@@ -2439,7 +2458,7 @@
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@@ -2451,7 +2470,7 @@
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@@ -2476,7 +2495,7 @@
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@@ -2493,7 +2512,7 @@
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-   "id": "20f307dc",
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@@ -2537,7 +2556,7 @@
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@@ -2548,7 +2567,7 @@
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-   "id": "91bec0b0",
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@@ -2570,7 +2589,7 @@
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@@ -2587,7 +2606,7 @@
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-   "id": "8a686e04",
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@@ -2608,7 +2627,7 @@
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@@ -2622,7 +2641,7 @@
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@@ -2651,7 +2670,7 @@
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@@ -2671,7 +2690,7 @@
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-   "id": "d174326c",
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@@ -2688,7 +2707,7 @@
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@@ -2700,7 +2719,7 @@
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-   "id": "9f40b296",
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@@ -2718,7 +2737,7 @@
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@@ -2729,7 +2748,7 @@
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-   "id": "483a3003",
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@@ -2742,7 +2761,7 @@
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@@ -2754,7 +2773,7 @@
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-   "id": "f841774c",
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@@ -2785,7 +2804,7 @@
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@@ -2798,7 +2817,7 @@
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-   "id": "bcd4940d",
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@@ -2839,7 +2858,7 @@
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@@ -2853,7 +2872,7 @@
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-   "id": "c66fefc2",
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@@ -2893,7 +2912,7 @@
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@@ -2913,7 +2932,7 @@
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@@ -2945,7 +2964,7 @@
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@@ -2967,7 +2986,7 @@
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+   "id": "bde9bee4",
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@@ -2995,7 +3014,7 @@
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@@ -3010,7 +3029,7 @@
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@@ -3022,7 +3041,7 @@
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@@ -3037,7 +3056,7 @@
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@@ -3050,7 +3069,7 @@
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@@ -3062,7 +3081,7 @@
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@@ -3072,7 +3091,7 @@
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@@ -3083,7 +3102,7 @@
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@@ -3101,7 +3120,7 @@
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@@ -3112,7 +3131,7 @@
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@@ -3124,7 +3143,7 @@
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@@ -3134,7 +3153,7 @@
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@@ -3146,7 +3165,7 @@
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@@ -3156,7 +3175,7 @@
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@@ -3168,7 +3187,7 @@
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@@ -3178,7 +3197,7 @@
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@@ -3197,7 +3216,7 @@
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@@ -3207,7 +3226,7 @@
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@@ -3219,7 +3238,7 @@
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@@ -3229,7 +3248,7 @@
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@@ -3245,7 +3264,7 @@
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@@ -3265,7 +3284,7 @@
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@@ -3275,7 +3294,7 @@
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@@ -3286,7 +3305,7 @@
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@@ -3305,7 +3324,7 @@
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@@ -3315,7 +3334,7 @@
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@@ -3327,7 +3346,7 @@
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@@ -3337,7 +3356,7 @@
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@@ -3348,7 +3367,7 @@
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@@ -3368,7 +3387,7 @@
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@@ -3380,7 +3399,7 @@
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@@ -3395,7 +3414,7 @@
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@@ -3475,7 +3494,7 @@
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@@ -3485,7 +3504,7 @@
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@@ -3497,7 +3516,7 @@
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@@ -3507,7 +3526,7 @@
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@@ -3518,7 +3537,7 @@
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@@ -3530,7 +3549,7 @@
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@@ -3540,7 +3559,7 @@
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@@ -3552,7 +3571,7 @@
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@@ -3562,7 +3581,7 @@
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@@ -3574,7 +3593,7 @@
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@@ -3587,7 +3606,7 @@
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@@ -3599,7 +3618,7 @@
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@@ -3609,7 +3628,7 @@
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@@ -3621,7 +3640,7 @@
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@@ -3633,7 +3652,7 @@
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@@ -3644,7 +3663,7 @@
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@@ -3656,7 +3675,7 @@
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@@ -3675,7 +3694,7 @@
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@@ -3688,7 +3707,7 @@
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@@ -3698,7 +3717,7 @@
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@@ -3710,7 +3729,7 @@
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@@ -3720,7 +3739,7 @@
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@@ -3732,7 +3751,7 @@
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@@ -3742,7 +3761,7 @@
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@@ -3754,7 +3773,7 @@
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@@ -3765,7 +3784,7 @@
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@@ -3777,7 +3796,7 @@
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@@ -3787,7 +3806,7 @@
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@@ -3799,7 +3818,7 @@
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@@ -3809,7 +3828,7 @@
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@@ -3821,7 +3840,7 @@
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@@ -3842,7 +3861,7 @@
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@@ -3855,7 +3874,7 @@
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@@ -3867,7 +3886,7 @@
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@@ -3879,7 +3898,7 @@
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@@ -3891,7 +3910,7 @@
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@@ -3903,7 +3922,7 @@
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@@ -3914,7 +3933,7 @@
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@@ -3926,7 +3945,7 @@
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@@ -3936,7 +3955,7 @@
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@@ -3948,7 +3967,7 @@
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@@ -3958,7 +3977,7 @@
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@@ -3970,7 +3989,7 @@
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@@ -3982,7 +4001,7 @@
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@@ -3996,7 +4015,7 @@
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@@ -4011,7 +4030,7 @@
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@@ -4022,7 +4041,7 @@
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@@ -4035,7 +4054,7 @@
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@@ -4046,7 +4065,7 @@
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@@ -4069,7 +4088,7 @@
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@@ -4083,7 +4102,7 @@
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@@ -4096,7 +4115,7 @@
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@@ -4107,7 +4126,7 @@
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@@ -4119,7 +4138,7 @@
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@@ -4130,7 +4149,7 @@
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@@ -4146,7 +4165,7 @@
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@@ -4157,7 +4176,7 @@
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@@ -4171,7 +4190,7 @@
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@@ -4193,7 +4212,7 @@
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@@ -4205,7 +4224,7 @@
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@@ -4215,7 +4234,7 @@
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@@ -4227,7 +4246,7 @@
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@@ -4239,7 +4258,7 @@
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@@ -4249,7 +4268,7 @@
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@@ -4261,7 +4280,7 @@
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@@ -4271,7 +4290,7 @@
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@@ -4283,7 +4302,7 @@
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@@ -4293,7 +4312,7 @@
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@@ -4305,7 +4324,7 @@
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@@ -4317,7 +4336,7 @@
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@@ -4327,7 +4346,7 @@
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@@ -4339,7 +4358,7 @@
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@@ -4349,7 +4368,7 @@
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@@ -4361,7 +4380,7 @@
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@@ -4373,7 +4392,7 @@
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@@ -4385,7 +4404,7 @@
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@@ -4395,7 +4414,7 @@
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@@ -4407,7 +4426,7 @@
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@@ -4417,7 +4436,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b22620a6",
+   "id": "841bdaeb",
    "metadata": {
     "editable": true
    },
@@ -4429,7 +4448,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "541e3a45",
+   "id": "6c436ea2",
    "metadata": {
     "editable": true
    },
@@ -4439,7 +4458,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f79a7cbe",
+   "id": "4c7cc06e",
    "metadata": {
     "editable": true
    },
@@ -4451,7 +4470,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5b0ecfb4",
+   "id": "9250e475",
    "metadata": {
     "editable": true
    },
@@ -4462,7 +4481,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a3bb87d4",
+   "id": "b1752c50",
    "metadata": {
     "editable": true
    },
@@ -4474,7 +4493,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a7147ddc",
+   "id": "3f69d72f",
    "metadata": {
     "editable": true
    },
@@ -4484,7 +4503,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2b6fc16a",
+   "id": "34c07f1f",
    "metadata": {
     "editable": true
    },
@@ -4496,7 +4515,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8bf19f5c",
+   "id": "74fa8f91",
    "metadata": {
     "editable": true
    },
@@ -4506,7 +4525,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "50203e47",
+   "id": "67737a54",
    "metadata": {
     "editable": true
    },
@@ -4518,7 +4537,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ab63c9d4",
+   "id": "795e5027",
    "metadata": {
     "editable": true
    },
@@ -4531,7 +4550,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "be284b0d",
+   "id": "c6d29ba6",
    "metadata": {
     "editable": true
    },
@@ -4543,7 +4562,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9829a688",
+   "id": "34d9aaf8",
    "metadata": {
     "editable": true
    },
@@ -4555,7 +4574,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "40bc361c",
+   "id": "9e6dd823",
    "metadata": {
     "editable": true
    },
@@ -4567,7 +4586,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4d180456",
+   "id": "b69942a5",
    "metadata": {
     "editable": true
    },
@@ -4579,7 +4598,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "01b1a335",
+   "id": "9384a6ed",
    "metadata": {
     "editable": true
    },
@@ -4591,7 +4610,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8e216892",
+   "id": "c5b021e1",
    "metadata": {
     "editable": true
    },
@@ -4601,7 +4620,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7e30b3a5",
+   "id": "d9b9265b",
    "metadata": {
     "editable": true
    },
@@ -4613,7 +4632,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9166f007",
+   "id": "cb00cc6e",
    "metadata": {
     "editable": true
    },
@@ -4625,7 +4644,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ce256b25",
+   "id": "cd15aadf",
    "metadata": {
     "editable": true
    },
@@ -4638,7 +4657,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "35398df7",
+   "id": "a54cd044",
    "metadata": {
     "editable": true
    },
@@ -4665,7 +4684,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f9bb7308",
+   "id": "f84a0330",
    "metadata": {
     "editable": true
    },
@@ -4676,7 +4695,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "id": "6318be3d",
+   "id": "edda8a9c",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4772,7 +4791,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7a115117",
+   "id": "8d149fa4",
    "metadata": {
     "editable": true
    },
@@ -4787,7 +4806,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8b8f2e56",
+   "id": "c10b2d01",
    "metadata": {
     "editable": true
    },
@@ -4809,7 +4828,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "id": "76340bb6",
+   "id": "937242a2",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4884,7 +4903,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a769239f",
+   "id": "0480432d",
    "metadata": {
     "editable": true
    },
@@ -4895,7 +4914,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "013ce46c",
+   "id": "d3869dc4",
    "metadata": {
     "editable": true
    },
@@ -4964,7 +4983,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2d69977f",
+   "id": "2cc8de42",
    "metadata": {
     "editable": true
    },
@@ -4978,7 +4997,7 @@
   {
    "cell_type": "code",
    "execution_count": 48,
-   "id": "eff97f63",
+   "id": "10697bc1",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4991,7 +5010,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31abf8fe",
+   "id": "72231f0f",
    "metadata": {
     "editable": true
    },
@@ -5005,7 +5024,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "522111fe",
+   "id": "cd481789",
    "metadata": {
     "editable": true
    },
@@ -5018,7 +5037,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "accb4df8",
+   "id": "8e8d0919",
    "metadata": {
     "editable": true
    },
@@ -5029,7 +5048,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5e9a411b",
+   "id": "8331617e",
    "metadata": {
     "editable": true
    },
@@ -5041,7 +5060,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5c609893",
+   "id": "848e263c",
    "metadata": {
     "editable": true
    },
@@ -5051,7 +5070,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5766faaf",
+   "id": "a5717c1a",
    "metadata": {
     "editable": true
    },
@@ -5063,7 +5082,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9006a8f1",
+   "id": "ec433453",
    "metadata": {
     "editable": true
    },
@@ -5079,7 +5098,7 @@
   {
    "cell_type": "code",
    "execution_count": 49,
-   "id": "e6c14494",
+   "id": "28624adc",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -5130,7 +5149,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9730a2c4",
+   "id": "d00f443f",
    "metadata": {
     "editable": true
    },
@@ -5140,7 +5159,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "daeaaf0f",
+   "id": "7ad593ce",
    "metadata": {
     "editable": true
    },
@@ -5186,7 +5205,7 @@
   {
    "cell_type": "code",
    "execution_count": 50,
-   "id": "cefa7794",
+   "id": "881c2b38",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -5199,7 +5218,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c7966ef5",
+   "id": "0fbd10c8",
    "metadata": {
     "editable": true
    },
@@ -5210,7 +5229,7 @@
   {
    "cell_type": "code",
    "execution_count": 51,
-   "id": "c9f5c7cc",
+   "id": "a4c60215",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -5225,7 +5244,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "160ac4f4",
+   "id": "720c2daa",
    "metadata": {
     "editable": true
    },
@@ -5243,7 +5262,7 @@
   {
    "cell_type": "code",
    "execution_count": 52,
-   "id": "aee09a64",
+   "id": "14c738a8",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -5260,7 +5279,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b5f0495e",
+   "id": "2acf2caa",
    "metadata": {
     "editable": true
    },
@@ -5270,7 +5289,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ebf2a47a",
+   "id": "1f602091",
    "metadata": {
     "editable": true
    },
@@ -5281,7 +5300,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "18bae332",
+   "id": "2975e235",
    "metadata": {
     "editable": true
    },
@@ -5292,7 +5311,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c68041a",
+   "id": "e361e768",
    "metadata": {
     "editable": true
    },
diff --git a/doc/src/week34/week34.do.txt b/doc/src/week34/week34.do.txt
index 136e16466..f400d1df5 100644
--- a/doc/src/week34/week34.do.txt
+++ b/doc/src/week34/week34.do.txt
@@ -7,9 +7,14 @@ DATE: Week 34, August 21-25, 2021
 !split
 ===== Overview of first week =====
 
-The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
-The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
-Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
+The sessions on Tuesdays and Wednesdays last four hours and will
+include partly lectures in a flipped mode (promoting active learning)
+and work on exercices and projects.  The sessions will begin with
+lectures and questions and answers about the material to be covered
+every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
+and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
+possible for one of the groups. Max capacity per group is 30-40
+persons.
 
 On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
 The first week we wtart with simple linear regression, a repetition of linear algebra and elements of statistics needed for the course. 
@@ -31,7 +36,7 @@ For the reading assignments we use the following abbreviations:
 * HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning
 * AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow
 
-Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at https://compphysics.github.io/MachineLearning/doc/web/course.html
+Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at https://compphysics.github.io/MachineLearning/doc/web/course.html (these notes).
 !eblock
 
 
@@ -85,7 +90,9 @@ _Teachers :_
   * _Office hours_: *Anytime*!  Individual or group office hours can be arranged either in person or  via zoom. Feel free to send an email for planning. 
 
 * Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no
-
+* Fahimeh Najafi,
+* Mia K.O. Kvalsund,
+* Karl Henrik Fredly,
 
 
 !eblock
@@ -95,9 +102,9 @@ _Teachers :_
 
 !bblock
 
-o Project 1: October 11 (available September 5) graded with feedback)
-o Project 2: November 11 (available October 7, graded with feedback)
-o Project 3: December 9  (available November 11, graded with feedback)
+o Project 1: October 9 (available September 4) graded with feedback)
+o Project 2: November 6 (available October 6, graded with feedback)
+o Project 3: December 11  (available November 10, graded with feedback)
 
 Projects are handed in using _Canvas_. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via _Canvas_. 
 
@@ -197,17 +204,24 @@ We plan to cover the following topics:
 
 
 !split
-===== Topics covered in this course: Machine Learning =====
+===== Topics covered in this course =====
 
 !bblock 
 The following topics will be covered
-* Linear Regression and Logistic Regression;
-* Neural networks and deep learning, including convolutional and recurrent neural networks;
-* Decisions trees, Random Forests, Bagging and Boosting;
-* Support vector machines;
-* Bayesian linear and logistic regression (tentative);
-* Boltzmann Machines (tentative);
-* Unsupervised learning Dimensionality reduction, from PCA to clustering;
+
+* Pre deep-learning revolution (2008 approx)
+  * Linear Regression and Logistic Regression, classification and regression problems;
+  * Bayesian linear and logistic regression, kernel regression;
+  * Decisions trees, Random Forests, Bagging and Boosting methods;
+  * Support vector machines (only survey);
+  * Unsupervised learning and  dimensionality reduction, from PCA to clustering;  
+* Deep learning  
+  * Neural networks and deep learning;
+  * Convolutional neural networks;
+  * Recurrent neural networks;
+  * Autoencoders
+  * Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;
+
 
 Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.
 
@@ -230,21 +244,18 @@ Hands-on demonstrations, exercises and projects aim at deepening your understand
 ===== Other courses on Data science and Machine Learning  at UiO =====
 
 The link here URL:"https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/"  gives an excellent overview of courses on Machine learning at UiO.
-
+o "FYS5419 Quantum Computing and Quantum Machine Learning":"https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html"
+o "FYS5429 Advanced Machine Learning for the Physical Sciences":"https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html"
 o "STK2100 Machine learning and statistical methods for prediction and classification":"http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html". 
 o "IN3050/4050 Introduction to Artificial Intelligence and Machine Learning":"https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html". Introductory course in machine learning and AI with an algorithmic approach. 
 o "STK-INF3000/4000 Selected Topics in Data Science":"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science. 
 o "IN4080 Natural Language Processing":"https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html". Probabilistic and machine learning techniques applied to natural language processing. 
 o "STK-IN4300 Statistical learning methods in Data Science":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html". An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.
-o "INF4490 Biologically Inspired Computing":"http://www.uio.no/studier/emner/matnat/ifi/INF4490/". An introduction to self-adapting methods also called artificial intelligence or machine learning. 
-o "IN-STK5000  Adaptive Methods for Data-Based Decision Making":"https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html". Methods for adaptive collection and processing of data based on machine learning techniques. 
-o "IN5400/INF5860 Machine Learning for Image Analysis":"https://www.uio.no/studier/emner/matnat/ifi/IN5400/". An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.
-o "TEK5040 Deep learning for autonomous systems":"https://www.uio.no/studier/emner/matnat/its/TEK5040/". The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.
+o "IN3310/4310 Deep Learnig for Image Analysis":"https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html"
 o "STK4051 Computational Statistics":"https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html"
 o "STK4021 Applied Bayesian Analysis and Numerical Methods":"https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html"
 
 
-
 !split
 ===== Introduction =====