Search
Thunder Bay • Orillia

Type C: Engineering, Mathematical and Natural Sciences - Big Data

Computer Science 4311 Big Data
Students will learn how to select data from big data repositories (like Canadian or US Open Data portals) and how to use proper data analytics techniques. Many data analytics techniques will be introduced such as linear and logistics regression models, decision trees, support vector machine (SVM), association rules and social graph mining. Students will also learn statistical techniques to evaluate the performance of the models. Assignments and projects relating to health care will be a part of the course.
Credit Weight: 0.5
Prerequisite(s): Computer Science 2477
Offering: 3-1; or 3-1
Course Classifications: Type C: Engineering, Mathematical and Natural Sciences