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.
- Restriction: Registration open to the following major(s): Accounting, Business Administration/East Asian Area Studies, Business Administration/Education, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Real Estate Development, Business Administration/Social Work, Business Administration/Planning, Business Research, Business Taxation, Business Analytics, Gerontology/Business Administration, Business Administration, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
- Note: Recommended Preparation for DSO 562: Proficiency in R or Python Programing Language
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16237R | 033 | Lecture | 3:30-6:20pm | Thursday | 46 of 56 | Stephen Coggeshall | JKP104 |   | |
| 16238R | 033 | Lecture | 6:30-9:30pm | Thursday | 54 of 57 | Stephen Coggeshall | JKP204 | |