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.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16289R | 033 | Lecture | 2:00-3:20pm | Mon, Wed | 35 of 41 | Ash Pahwa | BRI202 | PDF (316587 KB) |  |
| 16294R | 372 | Lecture | 2:00-4:50pm | Thursday | 54 of 54 (11 on waitlist) | Stephen Coggeshall | ONLINE | PDF (301740 KB) | |