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 Python programming language and machine learning algorithms required for enrollment in DSO562. Sections 16237 and 16238 are intended for students admitted to the MS in Business Analytics program only. However, if any seats are available as of 12/7, other students can register via USC Web Registration. If the class is full, students can request a Wait List Request form from
16237R033Lecture3:30-6:20pmThursday42 of 60Stephen CoggeshallONLINEnotesession dates
16238R033Lecture6:30-9:30pmThursday42 of 60Stephen CoggeshallONLINEnotesession dates
Information accurate as of September 10, 2021 2:03 pm.
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