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: Sections 16239 and 16240 are for MSBA students. However, if any seats are available as of 12/6, other students may register via USC Web Registration. Proficiency in R or Python Programing Language is required for enrollment in DSO 562.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16239R | 372 | Lecture | 2:00-3:20pm | Tue, Thu | 64 of 75 | Stephen Coggeshall | ONLINE |   | |
| 16240R | 372 | Lecture | 3:30-4:50pm | Tue, Thu | 70 of 75 | Stephen Coggeshall | ONLINE | |