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update on intro

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mhjensen
2020-08-19 11:44:39 +02:00
parent 1f64c42f9c
commit 918b257206
26 changed files with 3682 additions and 620 deletions
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doc/pub/Intro2Course/html/._Intro2Course-bs006.html
+25 -32
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@@ -44,26 +44,27 @@ Automatically generated HTML file from DocOnce source
'sections': [('Overview of first week', 2, None, '___sec0'),
('Lectures and ComputerLab', 2, None, '___sec1'),
('Course Format', 2, None, '___sec2'),
('Teachers and ComputerLab', 2, None, '___sec3'),
('Teachers', 2, None, '___sec3'),
('Deadlines for projects (tentative)', 2, None, '___sec4'),
('Learning outcomes', 2, None, '___sec5'),
('Prerequisites', 2, None, '___sec5'),
('Learning outcomes', 2, None, '___sec6'),
('Topics covered in this course: Statistical analysis and '
'optimization of data',
2,
None,
'___sec6'),
'___sec7'),
('Topics covered in this course: Machine Learning',
2,
None,
'___sec7'),
'___sec8'),
('Extremely useful tools, strongly recommended',
2,
None,
'___sec8'),
'___sec9'),
('Other courses on Data science and Machine Learning at UiO',
2,
None,
'___sec9')]}
'___sec10')]}
end of tocinfo -->
<body>
@@ -88,13 +89,14 @@ end of tocinfo -->
<!-- navigation toc: --> <li><a href="._Intro2Course-bs001.html#___sec0" style="font-size: 80%;">Overview of first week</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs002.html#___sec1" style="font-size: 80%;">Lectures and ComputerLab</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs003.html#___sec2" style="font-size: 80%;">Course Format</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs004.html#___sec3" style="font-size: 80%;">Teachers and ComputerLab</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs004.html#___sec3" style="font-size: 80%;">Teachers</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs005.html#___sec4" style="font-size: 80%;">Deadlines for projects (tentative)</a></li>
<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;">Learning outcomes</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs007.html#___sec6" style="font-size: 80%;">Topics covered in this course: Statistical analysis and optimization of data</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs008.html#___sec7" style="font-size: 80%;">Topics covered in this course: Machine Learning</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs009.html#___sec8" style="font-size: 80%;">Extremely useful tools, strongly recommended</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs010.html#___sec9" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;">Prerequisites</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs007.html#___sec6" style="font-size: 80%;">Learning outcomes</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs008.html#___sec7" style="font-size: 80%;">Topics covered in this course: Statistical analysis and optimization of data</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs009.html#___sec8" style="font-size: 80%;">Topics covered in this course: Machine Learning</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs010.html#___sec9" style="font-size: 80%;">Extremely useful tools, strongly recommended</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs011.html#___sec10" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
</ul>
</li>
@@ -110,28 +112,18 @@ end of tocinfo -->
<a name="part0006"></a>
<!-- !split -->
<h2 id="___sec5" class="anchor">Learning outcomes </h2>
<h2 id="___sec5" class="anchor">Prerequisites </h2>
<p>
<div class="panel panel-default">
<div class="panel-body">
<p> <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
<ul>
<li> Learn about basic data analysis, statistical analysis, Bayesian statistics, Monte Carlo sampling, data optimization and machine learning</li>
<li> Be capable of extending the acquired knowledge to other systems and cases</li>
<li> Have an understanding of central algorithms used in data analysis and machine learning</li>
<li> Gain knowledge of central aspects of Monte Carlo methods, Markov chains, Gibbs samplers and their possible applications</li>
<li> Understand linear methods for regression and classification, from ordinary least squares, via Lasso and Ridge to Logistic regression</li>
<li> Learn about various neural networks and deep learning methods for supervised and unsupervised learning</li>
<li> Learn about about decision trees and random forests</li>
<li> Learn about support vector machines and kernel transformations</li>
<li> Reduction of data sets, from PCA to clustering, supervised and unsupervided methods</li>
<li> Work on numerical projects to illustrate the theory. The projects play a central role and you are expected to know modern programming languages like Python or C++</li>
</ul>
</div>
</div>
Basic knowledge in programming and mathematics, with an emphasis on
linear algebra. Knowledge of Python or/and C++ as programming
languages is strongly recommended and experience with Jupiter notebook
is recommended. Required courses are the equivalents to the University
of Oslo mathematics courses MAT1100, MAT1110, MAT1120 and at least one
of the corresponding computing and programming courses INF1000/INF1110
or MAT-INF1100/MAT-INF1100L/BIOS1100/KJM-INF1100. Most universities
offer nowadays a basic programming course (often compulsory) where
Python is the recurring programming language.
<p>
<p>
@@ -149,6 +141,7 @@ end of tocinfo -->
<li><a href="._Intro2Course-bs008.html">9</a></li>
<li><a href="._Intro2Course-bs009.html">10</a></li>
<li><a href="._Intro2Course-bs010.html">11</a></li>
<li><a href="._Intro2Course-bs011.html">12</a></li>
<li><a href="._Intro2Course-bs007.html">&raquo;</a></li>
</ul>
<!-- ------------------- end of main content --------------- -->