diff --git a/doc/web/course.do.txt b/doc/web/course.do.txt
index dc3f15f14..7d492f194 100644
--- a/doc/web/course.do.txt
+++ b/doc/web/course.do.txt
@@ -14,7 +14,7 @@ published = ['Intro2Course', 'Introduction', 'How2ReadData', 'Linalg', 'Statisti
 chapters = {
  'Intro2Course': 'Basic introduction to the course with schedule etc',
  'Introduction': 'Introduction to Data Analysis and Machine Learning',
- 'How2ReadData': 'Getting started with Machine Learning',
+ 'How2ReadData': 'Getting started with Machine Learning with simple Examples',
  'Linalg': 'Review of central linear algebra elements',
  'Statistics': 'Monte Carlo methods and elements of probability theory',
  'Regression': 'Regression Methods',
@@ -22,13 +22,13 @@ chapters = {
  'LogReg': 'Logistic Regression',
  'NeuralNet': 'Neural Networks',
  'DimRed': 'Reduction of dimensionality',
- 'DecisionTrees': 'Decision trees, from simple to random ones',
+ 'DecisionTrees': 'Decision Trees and Random Forests',
  'svm': 'Support Vector Machines',
  'BM': 'Unsupervised Learning, Boltzmann Machines',
  'Recurrent': 'Recurrent Neural Networks',
  'Autoencoders': 'Autoencoders',
  'Reinforce': 'Reinforcement Learning',
- 'odenn': 'Solving ordinary and partial differential equations with Neural Networks',
+ 'odenn': 'Solving ordinary and Partial Differential Equations and Eigenvalue Problems with Neural Networks',
  'Bayesian': 'Elements of Bayesian theory and Bayesian Neural Networks',
  'summary': 'Summary',
 }
diff --git a/doc/web/course.html b/doc/web/course.html
index 50cfe61ab..2ac882a03 100644
--- a/doc/web/course.html
+++ b/doc/web/course.html
@@ -77,7 +77,10 @@ div { text-align: justify; text-justify: inter-word; }
                2,
                None,
                '___sec1'),
-              ('Getting started with Machine Learning', 2, None, '___sec2'),
+              ('Getting started with Machine Learning with simple Examples',
+               2,
+               None,
+               '___sec2'),
               ('Review of central linear algebra elements', 2, None, '___sec3'),
               ('Monte Carlo methods and elements of probability theory',
                2,
@@ -91,10 +94,7 @@ div { text-align: justify; text-justify: inter-word; }
               ('Logistic Regression', 2, None, '___sec7'),
               ('Neural Networks', 2, None, '___sec8'),
               ('Reduction of dimensionality', 2, None, '___sec9'),
-              ('Decision trees, from simple to random ones',
-               2,
-               None,
-               '___sec10'),
+              ('Decision Trees and Random Forests', 2, None, '___sec10'),
               ('Support Vector Machines', 2, None, '___sec11'),
               ('Unsupervised Learning, Boltzmann Machines',
                2,
@@ -103,8 +103,8 @@ div { text-align: justify; text-justify: inter-word; }
               ('Recurrent Neural Networks', 2, None, '___sec13'),
               ('Autoencoders', 2, None, '___sec14'),
               ('Reinforcement Learning', 2, None, '___sec15'),
-              ('Solving ordinary and partial differential equations with '
-               'Neural Networks',
+              ('Solving ordinary and Partial Differential Equations and '
+               'Eigenvalue Problems with Neural Networks',
                2,
                None,
                '___sec16'),
@@ -257,7 +257,7 @@ formulas in HTML or ipython notebook files.
 
 </ul>
 
-<h2 id="___sec2">Getting started with Machine Learning </h2>
+<h2 id="___sec2">Getting started with Machine Learning with simple Examples </h2>
 
 <ul>
  <li> LaTeX PDF:</li>
@@ -489,7 +489,7 @@ formulas in HTML or ipython notebook files.
 
 </ul>
 
-<h2 id="___sec10">Decision trees, from simple to random ones </h2>
+<h2 id="___sec10">Decision Trees and Random Forests </h2>
 
 <ul>
  <li> LaTeX PDF:</li>
@@ -663,7 +663,7 @@ formulas in HTML or ipython notebook files.
 
 </ul>
 
-<h2 id="___sec16">Solving ordinary and partial differential equations with Neural Networks </h2>
+<h2 id="___sec16">Solving ordinary and Partial Differential Equations and Eigenvalue Problems with Neural Networks </h2>
 
 <ul>
  <li> LaTeX PDF:</li>