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About the content
Everyday across the world, thousands of businesses are victimized by fraud. Who commits these bad acts? Why? And, how? In this course we are going to help you answer the questions: who commits fraud, why and how. We’ll also help you develop skills for catching them.
Syllabus
- Week 1 - The Accidental Fraudster
Who are "accidental" fraudsters? Learn who accidental fraudsters are, the basic elements of fraud, and how devastating the costs of fraud are. - Week 2 - The Predator Fraudster
What is a "preditor" fraudster? How do you protect your organization against a preditor fraudster? Learn how internal control concepts and other techniques can help you detect and prevent preditor fraudsters. - Week 3 - Big Data, Benford's Law and Financial Analytics
What is "big data"? Learn how data analysis, Benford analysis and other tools can help you identify fraudulent activities. - Week 4 - Cyber-Crime and Money Laundering: Contemporary Tools and Techniques.
Money laundering. This week’s session will introduce you to the objectives and stages of money laundering as well as the basic techniques used. - Week 5 - Whistleblowing
Everything you need to know about whistleblowing. Learn the importance of whistleblowing and the difficulty of being a whistleblower.
Instructors
Dr. Richard Riley, Ph.D
Louis F. Tanner Distinguished Professor of Public Accounting
Accounting
Dr. Richard Dull, Ph.D
GoMart Professor in Accounting Information Systems
Accounting
John Gill, J.D., CFE
Vice President - Education
Association of Certified Fraud Examiners
Content Designer
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
