Fraud Detection

This course provides an introduction to the principles and practice of fraud detection across a variety of problem domains such as money laundering, credit card fraud, telecommunications fraud, and computer and network intrusion. The key topics of this course include defining fraud in various domains; the interactions between fraud prevention and fraud detection; data collection and management; statistical tests and statistical power; methods for statistical fraud detection, including numerical validation, outlier detection, supervised and unsupervised classification methods, and application of Benford's Law.

Course Details

Campus: 
Amherst
Format: 
Online
Level: 
Graduate
Subject: 
0
Number: 
INFOSEC 690F
Semester: 
Spring 2018
Registration Status: 
Open
Registration: 
Monday, November 6, 2017 to Saturday, January 27, 2018
Degree Finder Course Finder Request Information 877-MY-UMASS