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Applications of Linear Algebra Part 2

Davidson College via edX

2 Reviews 790 students interested

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Overview

Our world is in a data deluge with ever increasing sizes of datasets. Linear algebra is a tool to manage and analyze such data.

This course is part 2 of a 2-part course, with this part extending smoothly from the first. Note, however, that part 1, is not a prerequisite for part 2. In this part of the course, we'll develop the linear algebra more fully than part 1. This class has a focus on data mining with some applications of computer graphics. We'll discuss, in further depth than part 1, sports ranking and ways to rate teams from thousands of games. We’ll apply the methods to March Madness. We'll also learn methods behind web search, utilized by such companies as Google.  We'll also learn to cluster data to find similar groups and also how to compress images to lower the amount of storage used to store them. The tools that we learn can be applied to applications of your interest.  For instance, clustering data to find similar movies can be applied to find similar songs or friends. So, come to this course ready to investigate your own ideas.

Courses offered via edX.org are not eligible for academic credit from Davidson College. A passing score in a DavidsonX course(s) will only be eligible for a verified certificate generated by edX.org.

Taught by

Tim Chartier

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Reviews for edX's Applications of Linear Algebra Part 2
4.5 Based on 2 reviews

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Gregory S
4.0 4 years ago
by Gregory completed this course and found the course difficulty to be medium.
Applications of Linear Algebra Part 2 is the second part of an introductory linear algebra course offered by Davidson University through the edX MOOC platform. The course spans 6 units and runs for 6 weeks, but all the lecture content and activities are available as soon as the course opens. The topics presented in part 2 build on the foundation laid in part 1 and include: least squares, correlation, eigenvectors, singular value decomposition, Markov chains, principle components analysis and sports prediction.

Applications of Linear Algebra Part 2 follows the same pattern as part …
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Hchan H
5.0 4 years ago
by Hchan completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
Amazing course that teaches you how to "play with" linear algebra and do some very cool things. Tim Chartier takes you through a veritable wonderland of real-world applications and visualizations enabled by the basic results in your typical introduction to linear algebra textbook. Exploratory activities and provided source code help guide you through how to work through your own, personal, versions of each of these applications. One word of warning: this is a course to play with applications, not to learn linear algebra for the first time. Before this course, you should have completed at least…
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