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 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 registration@marshall.usc.edu
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16237R372Lecture3:30-6:20pmThursday65 of 72 (2 on waitlist)Stephen CoggeshallONLINEnotesession dates
16238R372Lecture6:30-9:30pmThursday65 of 77Stephen CoggeshallONLINEnotesession dates
Information accurate as of May 20, 2022 2:03 pm.