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 16240 is for MSBA students. However, if seats are available other graduate students may enroll via webreg starting 12/5/23.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16240D | 033 | Lecture | 6:30-9:30pm | Wednesday | 22 of 52 | Ash Pahwa | JKP102 | PDF (318604 KB) |   |