The ACFE-GTA Chapter is excited to present Forensic Analytics with PYTHON & AI course with Professor Mark Nigrini from West Virginia University. Professor Nigrini presented our 2025 September Workshop on AI & Fraud Examination, which was extremely well received and many participants asked for follow-up training on Python.
Helpful Information
* Since you will need to download the Python software and framework, as well as have access to an AI program of your choice (e.g., ChatGPT, Gemini, Copilot,. etc), attendees using a company/work laptop, they may want to contact their IT Department well in advance to ensure compliance with company policies. Approved links to the free software will be provided in the Registration Confirmation Email.
* Your registration is transferable by sending an email to admin@acfe-gta.com and providing the name and contact details of the person who is assuming the registration.
* A boxed lunch will be provided as part of the registration cost. Coffee, tea, water, and soft drinks are included and will be available throughout the day.
* Registration for the June 2 class is limited to 45 participants. A "spaces left" counter will be visible on the registration page. Once the class reaches capacity, you should still register and will be placed on a waitlist.
* If there are enough participants on the waitlist, Professor Nigrini has agreed to offer an additional course on June 3 (the following day). Approximately 30 waitlisted registrants would be required to justify adding the second day.
* If there are not enough participants to offer a second session, you will receive a full refund promptly. If there is sufficient demand, you will be automatically registered for t
Agenda (9.5 CPE credits)
8:00 am - 9:00 am - Participants are best to arrive earlier than 9 am & get set-up for the day
9 :00 – 10:30 - Session 1
10:30 – 10:45 - Break
10:45 am – 12:15 pm - Session 2
12:15 pm – 1 pm – Lunch Break
1 pm – 2:30 pm - Session 3
2:30 pm – 2:45 pm - Break
2:45 – 4:15 pm (90 minutes = 1.8 CPE) - Session 4
4:15 – 4:30 pm (15 minutes = 0.3 CPE) - Wrap-up and Question/Answer Period
Pre-Course Exercise (2.0 CPE credits included above)
Once you register, you will receive a Confirmation Email which will include some information on your Pre-Course work. it is NOT a difficult exercise and Professor Nigrini has estimated take you about 100 minutes.
Task 1: Watch a short introductory video. Link will be in the Confirmation Email.
Task 2: Download the Python software & framework. Links will be in Confirmation Email and an AI program of your choice (e.g., Copilot, ChatGPT, Gemini, etc.)
(Optional) Post-Course Exercise (2.0 additional CPE credits)
Once the course is completed, Professor Nigrini will assign two small tasks:
Task 1: Complete a short, multiple choice/true or false quiz on the day's training.
Task 2: Complete a short exercise to help solidify the training with access to Professor Nigrini if necessary.
COURSE LEADER
Mark Nigrini, Ph.D., CA (SA)
Associate Professor of Accounting, West Virginia University
Author of Forensic Analytics, Second Edition (Wiley 2020)
Mark J. Nigrini is an associate professor of accounting at West Virginia University. His research passion for many years has been a phenomenon known as Benford’s Law which is related to the patterns of the digits in tabulated data. The smaller digits (1s, 2s, and 3s) are expected to occur more often in scientific and financial data and Benford’s Law has shown itself to be valuable to fraud examiners in their quest to uncover fraud in corporate data. His current research addresses insider threats, and more specifically the cybersecurity risks posed by former employees.
Nigrini is the author of Forensic Analytics (Wiley, 2020) which describes analytic tests used to detect fraud, errors, estimates, and biases in financial data, and Benford's Law (Wiley, 2012). In 2014 he published an article in the Journal of Accountancy that was co-authored with Nathan Mueller, a fraudster. That article won the Lawler award for the best article in the Journal of Accountancy in 2014. Included in his array of academic publications is the lead article in the new premier forensic accounting journal, the Journal of Forensic Accounting Research. His recent publications include the lead article in the Nov/Dec 2020 issue of Fraud Magazine. His work has been featured in, amongst others, The Financial Times, New York Times, and The Wall Street Journal. His radio interviews have included the BBC in London, and NPR in the United States. His television interviews have included an interview on a fraud saga for the Evil Twins series for the Investigation Discovery Channel. He is a regular presenter at the ACFE’s Global Conferences and at events overseas such as Brazil’s Inter-forensics 2023.
THANKS to our SPONSORS
