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 |
|---|---|---|---|---|---|---|---|---|---|
| 16275D | 033 | Lecture | 3:30-4:50pm | Mon, Wed | 0 of 41 | Ash Pahwa | JKP204 | PDF (429964 KB) |  |