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BSMS4003 - Financial Forensics
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BSMS4003 - Financial Forensics
525 words
3 min read
| Field | Value |
|---|---|
| Course Code | BSMS4003 |
| Level | Degree Level Course |
| Credits | 4 |
| Type | Elective |
| Pre-requisites | None |
📖 Description
An introduction to Finance and Accounting, The life cycle of a financial transaction, Areas where AI/ML is used in the Finance Industry, Importance of Model Explainability in the Regulated World, An introduction to solving real world finance problems – Credit Card Fraud Detection, Identity Fraud Detection, Anti Money Laundering Scenarios
🗓️ Weekly Syllabus
| Week | Topic |
|---|---|
| Week 1 | INTRODUCTION TO ACCOUNTING AND FINANCE: Financial Statements |
| Week 2 | FRAUD VULNERABILITIES AND FINANCE: Types of fraud |
| Week 3 | FORENSIC ACCOUNTING - 1: Intro to Forensic Accounting |
| Week 4 | FORENSIC ACCOUNTING - 2: Scope of forensic accounting |
| Week 5 | BENFORD LAW AND IMPLEMENTATION: Benford Law |
| Week 6 | AGING ANALYSIS, PARETO AND OUTLIERS: Detecting fraud using Aging Analysis in Excel |
| Week 7 | FINANCIAL TRANSACTION LIFECYCLE: Transaction Lifecycle |
| Week 8 | ENTITY RESOLUTION: What is an entity in a transaction? |
| Week 9 | ANOMALY DETECTION - 1: Supervised Anomaly Detection |
| Week 10 | ANOMALY DETECTION - 2: Unsupervised Anomaly Detection |
| Week 11 | ANOMALY DETECTION - 3: Time Based Anomaly Detection |
| Week 12 | Model Explainability |
📚 Books & Resources
Prescribed Books
The following are the suggested books for the course:
Robert N Anthony, David F Hawkins and Kenneth A Merchant, Accounting: Text and Cases Stephen H Penman, Financial Statement Analysis and Security Valuation, Tata McGraw Hill Company, Third Edition. Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. Mit Press. James, G., Witten, D., Hastie, T., & Tibshirani, R. (n.d.). An introduction to statistical learning: With applications in R.
📝 About the Instructors
Dr. Arun Kumar G
Professor,
Department of Management Studies(DOMS),
IIT Madras
Prof. G Arun Kumar is a faculty in the Department of Management Studies at IIT Madras. His areas of interest are Finance and Corporate Governance issues. He was actively involved in "Evidence based impact assessment of development" and have worked on field based Impact assessment assignments in the peri-urban or rural setting across the country. Some of these assignments include development of micro enterprises, microfinance, migration & remittances, digital literacy, skill development, women empowerment & women led micro enterprises, etc.
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