Algorithms for Data Analytics credit:

4 Hours

This course will introduce the student to a set of algorithms for data analytics which include: hashing, indexes, caching; algorithms for structured datasets; streaming data modes; PageRank algorithms for market-basket models; clustering algorithms; and case studies. Prerequisite: IE 411 , CS 225 . ISE graduate students and students enrolled in the Master of Science in Advanced Analytics (MCAA) are eligible to take the course.