CS Electives
Here's a list of CS electives I've found interesting.
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Here's a list of CS electives I've found interesting.
Last updated
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The course will discuss data mining and machine learning algorithms for analyzing very large amounts of data. The emphasis will be on MapReduce and as tools for creating parallel algorithms that can process very large amounts of data. Topics include: Frequent itemsets and Association rules, Near Neighbor Search in High Dimensional Data, Locality Sensitive Hashing (LSH), Dimensionality reduction, Recommendation Systems, Clustering, Link Analysis, Large-scale Supervised Machine Learning, Data streams, Mining the Web for Structured Data, Web Advertising.
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This is an introductory course on Computational Thinking. We use the to approach real-world problems in varied areas applying data analysis and computational and mathematical modeling. In this class you will learn computer science, software, algorithms, applications, and mathematics as an integrated whole.
We plan to include the following topics:
Image analysis
Machine learning
Dynamics on networks
Climate modeling