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
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16237R033Lecture3:30-6:20pmThursday46 of 56Stephen CoggeshallJKP104notesession dates
16238R033Lecture6:30-9:30pmThursday54 of 57Stephen CoggeshallJKP204notesession dates
Information accurate as of January 29, 2019 3:56 pm.