CS367 Streaming Data Analytics

This course introduces students to the basic concepts of streaming data, which includes resources of streaming data, the characteristics and properties of various types of streaming data and the principles, models, methods and technologies that can be effectively applied for streaming data analytics. The course will examine the most common challenges of streaming data analytics—data collection, measurement, tracking, analysis, security, query processing and reporting. Students will conduct some case studies of the applications of streaming data analytics.

Prerequisite

CS356

Corequisite

None

Credits

4

Distribution

Computer Science/Engineering/Information Technology