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: **Proficiency in R or Python Programing Language required for enrollment in DSO 562** Sections 16237 and 16238 are MS Business Analtyics courses and are intended for students admitted to the MSBA program only. However if any seats are available as of 12/6, other students can register via USC Web Registration. If the class is full, students can submit a completed Wait List Request form to registration@marshall.usc.edu
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16237R | 033 | Lecture | 3:30-6:20pm | Thursday | 46 of 54 | Stephen Coggeshall | JKP104 |   | |
| 16238R | 033 | Lecture | 6:30-9:30pm | Thursday | 40 of 54 | Stephen Coggeshall | JKP104 | |