IE 531 - Algorithms for Data Analytics
Last offered Fall 2021
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. Course Information: 4 graduate hours. No professional credit. 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.
|Algorithms for Data Analytics||A||70691||ONL||4||-||Ramavarapu S Sreenivas|