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Thunder Bay • Orillia

Summary of Changes Made in This Calendar - Big Data

Computer Science 5012 Big Data
The explosion of social media and the computerization resulted in large volume of mostly unstructured data: web logs, videos, speech recordings, photographs, and e-mails. The key objective is for the students to learn and understand the most important technologies used in manipulating, storing, and analyzing Big Data. Many data analytics techniques will be introduced such as classification and clustering, decision trees, linear and logistic regression, time series analysis, and text analytics. Students will also learn how to select and apply the correct Big Data stores for disparate data sets and how to use proper data analytics techniques. Students will develop a variety of Big Data applications in their assignments and project practices.
Credit Weight: 0.5
Offering: 3-0; or 3-0