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MTH 642

Data Analytics: Advanced Methods

This course builds on the previous Basic Methods course and covers more advanced concepts including classification and clustering algorithms, decision trees, linear and logistic regression, time series analysis, and text analytics. The course will provide applied knowledge on how to analyze large scale network data produced through social media. In this context topics include network community detection, techniques for link analysis, information propagation on the web and information analysis of social media.
Weekly Contact: Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1


(IND 119, IND 123 and IND 830) or [(MTH 304 or MTH 380) and (CPS 109 or CPS 118)]





Custom Requisites


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*List may not include courses that are on a common table shared between programs.