Course Websites
IE 531 - Algorithms for Data Analytics
Last offered Spring 2025
Official Description
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.
Related Faculty
Sample Syllabus
Link provided below may differ from actual syllabus provided by instructor.
Schedule and Instructors
Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
---|---|---|---|---|---|---|---|---|
Algorithms for Data Analytics | AD | 65476 | LEC | 4 | 1530 - 1650 | T R | 410B1 Engineering Hall | Ramavarapu S Sreenivas |
Algorithms for Data Analytics | B | 67012 | ONL | 4 | - | Ramavarapu S Sreenivas |