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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
Consent: Departmental consent required

Prerequisites
None
Co-Requisites
None
Antirequisites
None
Custom Requisites
None
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.