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 Analytics 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 request a Wait List Request form from firstname.lastname@example.org
|16237R||372||Lecture||3:30-6:20pm||Thursday||65 of 72 (2 on waitlist)||Stephen Coggeshall||ONLINE|
|16238R||372||Lecture||6:30-9:30pm||Thursday||65 of 77||Stephen Coggeshall||ONLINE|