mhjensen
175 lines
6.9 KiB
HTML
175 lines
6.9 KiB
HTML
<!--
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Automatically generated HTML file from DocOnce source
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(https://github.com/hplgit/doconce/)
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-->
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<html>
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
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<meta name="description" content="Summary of course">
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<title>Summary of course</title>
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<!-- Bootstrap style: bootstrap -->
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<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
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<link href="https://netdna.bootstrapcdn.com/font-awesome/4.0.3/css/font-awesome.css" rel="stylesheet">
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-->
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<style type="text/css">
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/* Add scrollbar to dropdown menus in bootstrap navigation bar */
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.dropdown-menu {
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height: auto;
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max-height: 400px;
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overflow-x: hidden;
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}
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/* Adds an invisible element before each target to offset for the navigation
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bar */
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.anchor::before {
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content:"";
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display:block;
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height:50px; /* fixed header height for style bootstrap */
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margin:-50px 0 0; /* negative fixed header height */
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}
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</style>
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</head>
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<!-- tocinfo
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{'highest level': 2,
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'sections': [('What? Me worry? No final exam in this course!',
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2,
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None,
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'___sec0'),
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('What did I learn in school this year?', 2, None, '___sec1'),
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('Topics we have covered this year', 2, None, '___sec2'),
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('Statistical analysis and optimization of data',
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2,
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None,
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'___sec3'),
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('Machine learning', 2, None, '___sec4'),
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('Learning outcomes and overarching aims of this course',
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2,
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None,
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'___sec5'),
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('Other courses on Data science and Machine Learning at UiO',
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2,
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None,
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'___sec6'),
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('Additional courses of interest', 2, None, '___sec7'),
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('Best wishes to you all and thanks so much for your heroic '
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'efforts this semester',
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2,
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None,
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'___sec8')]}
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end of tocinfo -->
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<body>
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<!-- Bootstrap navigation bar -->
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<div class="navbar navbar-default navbar-fixed-top">
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<div class="navbar-header">
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<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-responsive-collapse">
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<span class="icon-bar"></span>
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<span class="icon-bar"></span>
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<span class="icon-bar"></span>
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</button>
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<a class="navbar-brand" href="summary-bs.html">Summary of course</a>
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</div>
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<div class="navbar-collapse collapse navbar-responsive-collapse">
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<ul class="nav navbar-nav navbar-right">
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<li class="dropdown">
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<a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
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<ul class="dropdown-menu">
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<!-- navigation toc: --> <li><a href="._summary-bs001.html#___sec0" style="font-size: 80%;">What? Me worry? No final exam in this course!</a></li>
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<!-- navigation toc: --> <li><a href="._summary-bs002.html#___sec1" style="font-size: 80%;">What did I learn in school this year?</a></li>
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<!-- navigation toc: --> <li><a href="._summary-bs003.html#___sec2" style="font-size: 80%;">Topics we have covered this year</a></li>
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<!-- navigation toc: --> <li><a href="._summary-bs004.html#___sec3" style="font-size: 80%;">Statistical analysis and optimization of data</a></li>
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<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
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<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
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<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
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<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
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<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
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</ul>
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</li>
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</ul>
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</div>
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</div>
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</div> <!-- end of navigation bar -->
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<div class="container">
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<p> </p><p> </p><p> </p> <!-- add vertical space -->
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<a name="part0006"></a>
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<!-- !split -->
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<h2 id="___sec5" class="anchor">Learning outcomes and overarching aims of this course </h2>
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<p>
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The course introduces a variety of central algorithms and methods
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essential for studies of data analysis and machine learning. The
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course is project based and through the various projects, normally
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three, you will be exposed to fundamental research problems
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in these fields, with the aim to reproduce state of the art scientific
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results. The students will learn to develop and structure large codes
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for studying these systems, get acquainted with computing facilities
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and learn to handle large scientific projects. A good scientific and
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ethical conduct is emphasized throughout the course.
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<ul>
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<li> Understand linear methods for regression and classification;</li>
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<li> Learn about neural network;</li>
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<li> Learn about basic data analysis, Bayesian statistics, Monte Carlo methods, data optimization and machine learning;</li>
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<li> Be capable of extending the acquired knowledge to other systems and cases;</li>
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<li> Have an understanding of central algorithms used in data analysis and machine learning;</li>
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<li> Gain knowledge of central aspects of Monte Carlo methods, Markov chains, Metropolis and Gibbs samplers and their possible applications;</li>
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<li> Work on numerical projects to illustrate the theory. The projects play a central role and students are expected to know modern programming languages like Python or C++.</li>
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</ul>
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<p>
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<!-- navigation buttons at the bottom of the page -->
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<ul class="pagination">
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<li><a href="._summary-bs005.html">«</a></li>
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<li><a href="._summary-bs000.html">1</a></li>
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<li><a href="._summary-bs001.html">2</a></li>
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<li><a href="._summary-bs002.html">3</a></li>
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<li><a href="._summary-bs003.html">4</a></li>
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<li><a href="._summary-bs004.html">5</a></li>
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<li><a href="._summary-bs005.html">6</a></li>
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<li class="active"><a href="._summary-bs006.html">7</a></li>
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<li><a href="._summary-bs007.html">8</a></li>
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<li><a href="._summary-bs008.html">9</a></li>
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<li><a href="._summary-bs009.html">10</a></li>
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<li><a href="._summary-bs007.html">»</a></li>
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</ul>
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<!-- ------------------- end of main content --------------- -->
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</div> <!-- end container -->
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<!-- include javascript, jQuery *first* -->
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<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js"></script>
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<script src="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/js/bootstrap.min.js"></script>
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<!-- Bootstrap footer
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<footer>
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<a href="http://..."><img width="250" align=right src="http://..."></a>
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</footer>
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-->
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<center style="font-size:80%">
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<!-- copyright only on the titlepage -->
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</center>
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</body>
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</html>
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