This course introduces the fundamentals of finance and accounting, including the lifecycle of financial transactions and applications of AI/ML in the finance industry. It also covers model explainability in regulated environments and explores real-world problems such as credit card fraud, identity fraud, and anti-money laundering.

Lectures-Tutorials-Practicals-Credits: 4-0-0-4

Week 1: Introduction to finance and accounting; Fundamentals of financial accounting.

Week 2: Financial statements; Balance sheet and income statement analysis.

Week 3: Cash flow statement; Cash flow analysis and interpretation.

Week 4: Integrated analysis of financial statements; Linking financial reports.

Week 5: Financial ratios; Performance evaluation and analysis.

Week 6: Corporate finance basics; Time value of money; Financial decision-making.

Week 7: Advanced corporate finance concepts; Investment and financing decisions.

Week 8: Transaction lifecycle; Credit risk fundamentals; Probability of default modeling; Credit risk optimization.

Week 9: Financial fraud detection; Supervised and unsupervised learning approaches; Practical fraud analytics.

Week 10: Time series analysis; Components and forecasting models; Hands-on modeling.

Week 11: Text analytics for financial forensics; Text preprocessing; Entity resolution.

Week 12: Explainable AI (XAI); SHAP-based interpretability; AI/ML applications in financial forensics.