Course Websites
IE 531 - Algorithms for Data Analytics
Last offered Spring 2023
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. 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.
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 | 218 Ceramics Building | Ramavarapu S Sreenivas |
| Algorithms for Data Analytics | B | 67012 | ONL | 4 | - | Ramavarapu S Sreenivas |