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
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16237R033Lecture3:30-6:20pmThursday46 of 54Stephen CoggeshallJKP104notesession dates
16238R033Lecture6:30-9:30pmThursday40 of 54Stephen CoggeshallJKP104notesession dates
Information accurate as of September 23, 2020 11:00 am.
The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.