Morten Hjorth-Jensen
288 lines
11 KiB
HTML
288 lines
11 KiB
HTML
|
|
<!DOCTYPE html>
|
|
|
|
<html>
|
|
<head>
|
|
<meta charset="utf-8" />
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
|
<title>Teaching schedule with links to material — Applied Data Analysis and Machine Learning</title>
|
|
|
|
<link rel="stylesheet" href="_static/css/index.f658d18f9b420779cfdf24aa0a7e2d77.css">
|
|
|
|
|
|
<link rel="stylesheet"
|
|
href="_static/vendor/fontawesome/5.13.0/css/all.min.css">
|
|
<link rel="preload" as="font" type="font/woff2" crossorigin
|
|
href="_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2">
|
|
<link rel="preload" as="font" type="font/woff2" crossorigin
|
|
href="_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
|
|
|
|
|
|
|
|
<link rel="stylesheet"
|
|
href="_static/vendor/open-sans_all/1.44.1/index.css">
|
|
<link rel="stylesheet"
|
|
href="_static/vendor/lato_latin-ext/1.44.1/index.css">
|
|
|
|
|
|
<link rel="stylesheet" href="_static/pygments.css" type="text/css" />
|
|
<link rel="stylesheet" href="_static/sphinx-book-theme.e7340bb3dbd8dde6db86f25597f54a1b.css" type="text/css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/mystnb.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/panels-variables.06eb56fa6e07937060861dad626602ad.css" />
|
|
|
|
<link rel="preload" as="script" href="_static/js/index.d3f166471bb80abb5163.js">
|
|
|
|
<script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
|
|
<script src="_static/jquery.js"></script>
|
|
<script src="_static/underscore.js"></script>
|
|
<script src="_static/doctools.js"></script>
|
|
<script src="_static/language_data.js"></script>
|
|
<script src="_static/togglebutton.js"></script>
|
|
<script src="_static/clipboard.min.js"></script>
|
|
<script src="_static/copybutton.js"></script>
|
|
<script >var togglebuttonSelector = '.toggle, .admonition.dropdown, .tag_hide_input div.cell_input, .tag_hide-input div.cell_input, .tag_hide_output div.cell_output, .tag_hide-output div.cell_output, .tag_hide_cell.cell, .tag_hide-cell.cell';</script>
|
|
<script src="_static/sphinx-book-theme.7d483ff0a819d6edff12ce0b1ead3928.js"></script>
|
|
<script async="async" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS-MML_HTMLorMML"></script>
|
|
<script type="text/x-mathjax-config">MathJax.Hub.Config({"tex2jax": {"inlineMath": [["\\(", "\\)"]], "displayMath": [["\\[", "\\]"]], "processRefs": false, "processEnvironments": false}})</script>
|
|
<script async="async" src="https://unpkg.com/thebelab@latest/lib/index.js"></script>
|
|
<script >
|
|
const thebe_selector = ".thebe"
|
|
const thebe_selector_input = "pre"
|
|
const thebe_selector_output = ".output"
|
|
</script>
|
|
<script async="async" src="_static/sphinx-thebe.js"></script>
|
|
<link rel="index" title="Index" href="genindex.html" />
|
|
<link rel="search" title="Search" href="search.html" />
|
|
<link rel="next" title="Teachers and Grading" href="teachers.html" />
|
|
<link rel="prev" title="Applied Data Analysis and Machine Learning" href="intro.html" />
|
|
|
|
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
|
<meta name="docsearch:language" content="en" />
|
|
|
|
|
|
|
|
</head>
|
|
<body data-spy="scroll" data-target="#bd-toc-nav" data-offset="80">
|
|
|
|
|
|
<div class="container-xl">
|
|
<div class="row">
|
|
|
|
<div class="col-12 col-md-3 bd-sidebar site-navigation show" id="site-navigation">
|
|
|
|
<div class="navbar-brand-box">
|
|
<a class="navbar-brand text-wrap" href="index.html">
|
|
|
|
<img src="_static/logo.png" class="logo" alt="logo">
|
|
|
|
|
|
<h1 class="site-logo" id="site-title">Applied Data Analysis and Machine Learning</h1>
|
|
|
|
</a>
|
|
</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
|
|
<i class="icon fas fa-search"></i>
|
|
<input type="search" class="form-control" name="q" id="search-input" placeholder="Search this book..." aria-label="Search this book..." autocomplete="off" >
|
|
</form>
|
|
<nav class="bd-links" id="bd-docs-nav" aria-label="Main navigation">
|
|
<ul class="nav sidenav_l1">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="intro.html">
|
|
Applied Data Analysis and Machine Learning
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p class="caption collapsible-parent">
|
|
<span class="caption-text">
|
|
About the course
|
|
</span>
|
|
</p>
|
|
<ul class="current nav sidenav_l1">
|
|
<li class="toctree-l1 current active">
|
|
<a class="current reference internal" href="#">
|
|
Teaching schedule with links to material
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="teachers.html">
|
|
Teachers and Grading
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="textbooks.html">
|
|
Textbooks
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p class="caption collapsible-parent">
|
|
<span class="caption-text">
|
|
From Regression to Support Vector Machines
|
|
</span>
|
|
</p>
|
|
<ul class="nav sidenav_l1">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter1.html">
|
|
1. Linear Regression, basic Elements
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter2.html">
|
|
2. Resampling Methods
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter3.html">
|
|
3. Ridge and Lasso Regression
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter4.html">
|
|
4. Logistic Regression
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
|
|
</nav> <!-- To handle the deprecated key -->
|
|
|
|
<div class="navbar_extra_footer">
|
|
Powered by <a href="https://jupyterbook.org">Jupyter Book</a>
|
|
</div>
|
|
|
|
</div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<main class="col py-md-3 pl-md-4 bd-content overflow-auto" role="main">
|
|
|
|
<div class="topbar container-xl fixed-top">
|
|
<div class="topbar-contents row">
|
|
<div class="col-12 col-md-3 bd-topbar-whitespace site-navigation show"></div>
|
|
<div class="col pl-md-4 topbar-main">
|
|
|
|
<button id="navbar-toggler" class="navbar-toggler ml-0" type="button" data-toggle="collapse"
|
|
data-toggle="tooltip" data-placement="bottom" data-target=".site-navigation" aria-controls="navbar-menu"
|
|
aria-expanded="true" aria-label="Toggle navigation" aria-controls="site-navigation"
|
|
title="Toggle navigation" data-toggle="tooltip" data-placement="left">
|
|
<i class="fas fa-bars"></i>
|
|
<i class="fas fa-arrow-left"></i>
|
|
<i class="fas fa-arrow-up"></i>
|
|
</button>
|
|
|
|
|
|
<div class="dropdown-buttons-trigger">
|
|
<button id="dropdown-buttons-trigger" class="btn btn-secondary topbarbtn" aria-label="Download this page"><i
|
|
class="fas fa-download"></i></button>
|
|
|
|
<div class="dropdown-buttons">
|
|
<!-- ipynb file if we had a myst markdown file -->
|
|
|
|
<!-- Download raw file -->
|
|
<a class="dropdown-buttons" href="_sources/schedule.md"><button type="button"
|
|
class="btn btn-secondary topbarbtn" title="Download source file" data-toggle="tooltip"
|
|
data-placement="left">.md</button></a>
|
|
<!-- Download PDF via print -->
|
|
<button type="button" id="download-print" class="btn btn-secondary topbarbtn" title="Print to PDF"
|
|
onClick="window.print()" data-toggle="tooltip" data-placement="left">.pdf</button>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Source interaction buttons -->
|
|
|
|
|
|
<!-- Full screen (wrap in <a> to have style consistency -->
|
|
<a class="full-screen-button"><button type="button" class="btn btn-secondary topbarbtn" data-toggle="tooltip"
|
|
data-placement="bottom" onclick="toggleFullScreen()" aria-label="Fullscreen mode"
|
|
title="Fullscreen mode"><i
|
|
class="fas fa-expand"></i></button></a>
|
|
|
|
<!-- Launch buttons -->
|
|
|
|
</div>
|
|
|
|
<!-- Table of contents -->
|
|
<div class="d-none d-md-block col-md-2 bd-toc show">
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div id="main-content" class="row">
|
|
<div class="col-12 col-md-9 pl-md-3 pr-md-0">
|
|
|
|
<div>
|
|
|
|
<div class="section" id="teaching-schedule-with-links-to-material">
|
|
<h1>Teaching schedule with links to material<a class="headerlink" href="#teaching-schedule-with-links-to-material" title="Permalink to this headline">¶</a></h1>
|
|
<p>This course will be delivered in a hybrid mode, with online lectures and on site or online laboratory sessions.</p>
|
|
<ol class="simple">
|
|
<li><p>Four lectures per week, Fall semester, 10 ECTS. The lectures will be fully online. The lectures will be recorded and linked to this site and the official University of Oslo website for the course;</p></li>
|
|
<li><p>Two hours of laboratory sessions for work on computational projects and exercises for each group. Due to social distancing, at most 15 participants can attend. There will also be fully digital laboratory sessions for those who cannot attend;</p></li>
|
|
<li><p>Three projects which are graded and count 1/3 each of the final grade;</p></li>
|
|
<li><p>A selected number of weekly assignments;</p></li>
|
|
<li><p>The course is part of the CS Master of Science program, but is open to other bachelor and Master of Science students at the University of Oslo;</p></li>
|
|
<li><p>The course is offered as a FYS-MAT4155 (Master of Science level) and a FYS-MAT3155 (senior undergraduate) course;</p></li>
|
|
<li><p>Videos of teaching material are available via the links at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a></p></li>
|
|
<li><p>Weekly emails with summary of activities will be mailed to all participants;</p></li>
|
|
</ol>
|
|
</div>
|
|
|
|
<script type="text/x-thebe-config">
|
|
{
|
|
requestKernel: true,
|
|
binderOptions: {
|
|
repo: "binder-examples/jupyter-stacks-datascience",
|
|
ref: "master",
|
|
},
|
|
codeMirrorConfig: {
|
|
theme: "abcdef",
|
|
mode: "python"
|
|
},
|
|
kernelOptions: {
|
|
kernelName: "python3",
|
|
path: "./."
|
|
},
|
|
predefinedOutput: true
|
|
}
|
|
</script>
|
|
<script>kernelName = 'python3'</script>
|
|
|
|
</div>
|
|
|
|
|
|
<div class='prev-next-bottom'>
|
|
|
|
<a class='left-prev' id="prev-link" href="intro.html" title="previous page">Applied Data Analysis and Machine Learning</a>
|
|
<a class='right-next' id="next-link" href="teachers.html" title="next page">Teachers and Grading</a>
|
|
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<footer class="footer mt-5 mt-md-0">
|
|
<div class="container">
|
|
<p>
|
|
|
|
By Morten Hjorth-Jensen<br/>
|
|
|
|
© Copyright 2020.<br/>
|
|
</p>
|
|
</div>
|
|
</footer>
|
|
</main>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<script src="_static/js/index.d3f166471bb80abb5163.js"></script>
|
|
|
|
|
|
|
|
</body>
|
|
</html> |