IE 531
IE 531 - Algorithms for Data Analytics
Spring 2024
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Algorithms for Data Analytics | IE531 | AD | 65476 | LEC | 4 | 1530 - 1650 | T R | 410B1 Engineering Hall | Ramavarapu S Sreenivas |
| Algorithms for Data Analytics | IE531 | B | 67012 | ONL | 4 | - | Ramavarapu S Sreenivas |
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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.