Topics in Big Data Analytics

Course classification: 
Elective Subject for Major
Course number: 
M1522.001600
Year: 
Graduate
Credit: 
3

How can we find useful patterns and anomalies in big data spanning several Petabytes? How can we design distributed systems, platforms, and algorithms to analyze big data? Big data are everywhere: examples include social network, the World Wide Web, communication network, biological network, and many more. Analyzing and extracting useful information from big data is a crucial task with various applications. This course covers advanced research topics, including designing distributed systems, underlying technologies, and essential algorithms for analyzing big data. This course also covers the analysis of real world big data using systems and algorithms designed.