Data Sciences and Operations 562:
Fraud Analytics (3.0 units)
Fraud detection model systems; identify normal vs. outlying behavior; malicious adversaries; complex datasets; supervised and unsupervised fraud statistical models; measures of model efficacy.
- Prerequisite: DSO 545
- Corequisite: DSO 530
- Note: Section 16289 is for MS Business Analytics students. However, if there are still seats available MBAs and other graduate students may enroll via WebReg starting 8/16/23.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16289R | 033 | Lecture | 6:30-9:30pm | Tuesday | 16 of 41 | Ash Pahwa | BRI202 | PDF (305564 KB) |   |