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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="">
<meta name="author" content="">
<title>Quinn Research Group - University of Georgia</title>
<!-- Bootstrap core CSS -->
<link href="vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet">
<!-- Custom styles for this template -->
<link href="css/modern-business.css" rel="stylesheet">
<style type="text/css">
.btn-active {
background-color: #ff0000;
border: 1px solid #ff0000;
}
.btn-active:hover {
background-color: #aa0000;
border: 1px solid #aa0000;
}
.btn-next {
background-color: #ffff00;
border: 1px solid #ffff00;
color: #000;
}
.btn-next:hover {
background-color: #ffff99;
border: 1px solid #ffff99;
color: #666;
}
</style>
</head>
<body>
<!-- Navigation -->
<nav class="navbar fixed-top navbar-expand-lg navbar-dark bg-dark fixed-top">
<div class="container">
<a class="navbar-brand" href="index.html">Quinn Research Group</a>
<button class="navbar-toggler navbar-toggler-right" type="button" data-toggle="collapse" data-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarResponsive">
<ul class="navbar-nav ml-auto">
<li class="nav-item">
<a class="nav-link" href="nsf-career.html">NSF CAREER</a>
</li>
<li class="nav-item">
<a class="nav-link" href="research.html">Research</a>
</li>
<li class="nav-item">
<a class="nav-link" href="https://medium.com/the-quarks">News</a>
</li>
<li class="nav-item">
<a class="nav-link" href="academic-honesty">Podcast</a>
</li>
<li class="nav-item">
<a class="nav-link" href="people.html">People</a>
</li>
<li class="nav-item">
<a class="nav-link" href="publications.html">Publications</a>
</li>
<li class="nav-item">
<a class="nav-link" href="presentations.html">Presentations</a>
</li>
<li class="nav-item">
<a class="nav-link active" href="courses.html">Courses</a>
</li>
</ul>
</div>
</div>
</nav>
<!-- Page Content -->
<div class="container">
<!-- Page Heading/Breadcrumbs -->
<h1 class="mt-4 mb-3">Courses
<small>materials, notebooks, autograders, assignments</small>
</h1>
<ol class="breadcrumb">
<li class="breadcrumb-item">
<a href="index.html">Home</a>
</li>
<li class="breadcrumb-item active">Courses</li>
</ol>
<!-- DSP -->
<div class="row">
<div class="col-md-7">
<h3><a href="https://dsp-uga.github.io/">CSCI 8360: Data Science Practicum</a></h3>
<p>
Applications of data science through a series of team projects solving real-world problems. Teams compete with each other to design and implement the top-performing computational pipelines.
</p>
<p>
<ul>
<li>Instruction: <strong>practicum</strong></li>
<li>Preqrequisites: <strong>CSCI 6360, CSCI 6380, CSCI 8950</strong></li>
<li>Target audience: <strong>advanced</strong></li>
</ul>
</p>
</div>
<div class="col-md-5">
<div class="row">
<a class="btn btn-primary" href="https://dsp-uga.github.io/sp23/">Spring 2023
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://dsp-uga.github.io/sp21/">Spring 2021
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://dsp-uga.github.io/sp19/">Spring 2019
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
<br />
<div class="row">
<a class="btn btn-primary" href="https://dsp-uga.github.io/sp18/">Spring 2018
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://dsp-uga.github.io/fa16/">Fall 2016
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
</div>
</div>
<!-- /.row -->
<hr>
<!-- DS2 -->
<div class="row">
<div class="col-md-7">
<h3>CSCI 4360/6360: Data Science II</h3>
<p>
Advanced machine learning techniques and frameworks, including: kernel methods, stochastic embeddings, motion tracking, linear dynamical systems, spectral graph methods, and deep learning; frameworks include Spark, dask, Keras, and PyTorch.
</p>
<p>
<ul>
<li>Instruction: <strong>lecture</strong></li>
<li>Preqrequisites: <strong>CSCI 3360, CSCI 4380/6380, CSCI 8950</strong></li>
<li>Target audience: <strong>intermediate</strong></li>
</ul>
</p>
</div>
<div class="col-md-5">
<div class="row">
<a class="btn btn-primary" href="https://eds-uga.github.io/csci-x360-fa23/">Fall 2023
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://eds-uga.github.io/csci-x360-fa21/">Fall 2021
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://eds-uga.github.io/csci4360-fa19/">Fall 2019
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
<br />
<div class="row">
<a class="btn btn-primary" href="https://eds-uga.github.io/csci4360-fa17/">Fall 2017
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
</div>
</div>
<!-- /.row -->
<hr>
<!-- CompBio -->
<div class="row">
<div class="col-md-7">
<h3>CBIO (CSCI) 4835/6835: Introduction to Computational Biology</h3>
<p>
Introduction to programming in Python for life scientists. Students learn the basics of Python and its language constructs (variables, types, lists, loops, conditionals, functions, arrays) to answer questions in biology (genome sequence alignment, molecular dynamics trajectories, dynamical systems modeling, and bioimage analysis).
</p>
<p>
<ul>
<li>Instruction: <strong>lecture</strong></li>
<li>Preqrequisites: <strong>none</strong></li>
<li>Target audience: <strong>beginners</strong></li>
</ul>
</p>
</div>
<div class="col-md-5">
<div class="row">
<a class="btn btn-primary" href="https://eds-uga.github.io/cbio-x835-sp20/">Spring 2020
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://eds-uga.github.io/cbio4835-fa18/">Fall 2018
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
<br />
<div class="row">
<a class="btn btn-primary" href="https://eds-uga.github.io/cbio4835-sp17/">Spring 2017
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
</div>
</div>
<!-- /.row -->
<hr>
<!-- DS1 -->
<div class="row">
<div class="col-md-7">
<h3>CSCI 3360: Data Science I</h3>
<p>
Introduction to statistical machine learning using Python. Students are instructed in both the theoretical formulations and Python implementations of machine learning algorithms that comprise classification, clustering, and dimensionality reduction, including foundational probability and linear algebra.
</p>
<p>
<ul>
<li>Instruction: <strong>lecture</strong></li>
<li>Preqrequisites: <strong>none</strong></li>
<li>Target audience: <strong>beginners</strong></li>
</ul>
</p>
</div>
<div class="col-md-5">
<div class="row">
</div>
</div>
</div>
<!-- /.row -->
<hr>
<!-- Intro to Data Science -->
<div class="row">
<div class="col-md-7">
<h3>CSCI 1360: Foundations of Informatics and Analytics</h3>
<p>
Introduction to programming with Python. Students will learn the basic concepts of programming (variables, types, data structures, conditionals, loops, functions, modules) and how these are used in Python. Students will also be introduced to fundamental data science questions and work through them using Python.
</p>
<p>
<ul>
<li>Instruction: <strong>lecture</strong></li>
<li>Preqrequisites: <strong>none</strong></li>
<li>Target audience: <strong>beginners</strong></li>
</ul>
</p>
</div>
<div class="col-md-5">
<div class="row">
<a class="btn btn-primary" href="https://eds-uga.github.io/csci1360-fa16/">Fall 2016
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
</div>
</div>
<!-- /.row -->
<hr>
<!-- ONLINE intro to data science -->
<div class="row">
<div class="col-md-7">
<h3>CSCI 1360E: Foundations of Informatics and Analytics</h3>
<p>
Introduction to programming with Python. Students will learn the basic concepts of programming (variables, types, data structures, conditionals, loops, functions, modules) and how these are used in Python. Students will also be introduced to fundamental data science questions and work through them using Python.
</p>
<p>
<ul>
<li>Instruction: <strong>online</strong></li>
<li>Preqrequisites: <strong>none</strong></li>
<li>Target audience: <strong>beginners</strong></li>
</ul>
</p>
</div>
<div class="col-md-5">
<div class="row">
<a class="btn btn-primary" href="https://eds-uga.github.io/csci1360e-su18/">Summer 2018
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://eds-uga.github.io/csci1360e-su17/">Summer 2017
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="https://eds-uga.github.io/csci1360e-su16/">Summer 2016
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
</div>
</div>
<!-- /.row -->
<hr>
<!-- MMS -->
<div class="row">
<div class="col-md-7">
<h3>CSCI 6900: Mining Massive Datasets</h3>
<p>
<strong>This course is currently retired.</strong>
</p>
<p>
Machine learning with big data.
</p>
<p>
<ul>
<li>Instruction: <strong>lecture</strong></li>
<li>Preqrequisites: <strong>none</strong></li>
<li>Target audience: <strong>intermediate</strong></li>
</ul>
</p>
</div>
<div class="col-md-5">
<div class="row">
<a class="btn btn-primary" href="http://cs.uga.edu/~squinn/mmd_f15/">Fall 2015
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
<a class="btn btn-primary" href="http://cs.uga.edu/~squinn/mmd_s15/">Spring 2015
<span class="glyphicon glyphicon-chevron-right"></span>
</a>
</div>
</div>
</div>
<!-- /.row -->
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