Industrial and Systems Engineering 487:
Enterprise Data Analytics (4.0 units)
Methodology to store, organize, cleanse, harmonize and stage enterprise data for analytics. Report, visualize, slice and dice, forecast and predict trends.
- Prerequisite: 1 from (ITP 249 or ITP 320 or DSCI 351)
- Crosslist: This course is offered by the ITP department but may qualify for major credit in ISE. To register, enroll in ITP 487.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31832D | 060 | Lecture-Lab | 2:00-3:50pm | Mon, Wed | 20 of 30 | Mike Lee | ONLINE | PDF (551022 KB) |  |
| 31845D | 060 | Lecture-Lab | 12:00-1:50pm | Mon, Wed | 28 of 58 | Mike Lee | ONLINE | PDF (551022 KB) | |
| 31882D | 060 | Lecture-Lab | 2:00-3:50pm | Tue, Thu | 54 of 57 | Nitin Kale | ONLINE | Word (237149 KB) | |