Full Curriculum
Complete lesson listing for both V3 and V4 course versions
80Lessons
12Modules
2Versions
48Lessons
4Modules
1,151Slides
663Charts
Module 1: FinTech (L01-L12)
| # | Lesson | PDF |
|---|
| L01 | Introduction to FinTech | PDF |
| L02 | Payments Fundamentals | PDF |
| L03 | Mobile Wallets | PDF |
| L04 | Neobanks | PDF |
| L05 | Open Banking | PDF |
| L06 | Digital Identity | PDF |
| L07 | P2P Lending | PDF |
| L08 | Robo-Advisors | PDF |
| L09 | InsurTech | PDF |
| L10 | RegTech | PDF |
| L11 | Regulatory Frameworks | PDF |
| L12 | Business Models | PDF |
Module 2: Blockchain (L13-L24)
| # | Lesson | PDF |
|---|
| L13 | What is Blockchain | PDF |
| L14 | Hashing | PDF |
| L15 | Public Key Cryptography | PDF |
| L16 | Proof of Work | PDF |
| L17 | Proof of Stake | PDF |
| L18 | Bitcoin Architecture | PDF |
| L19 | Ethereum & Smart Contracts | PDF |
| L20 | Tokens | PDF |
| L21 | DeFi | PDF |
| L22 | Stablecoins | PDF |
| L23 | Security | PDF |
| L24 | Regulation & Future | PDF |
Module 3: AI/ML in Finance (L25-L36)
| # | Lesson | PDF |
|---|
| L25 | Introduction to AI/ML | PDF |
| L26 | Financial Data | PDF |
| L27 | Regression | PDF |
| L28 | Classification | PDF |
| L29 | Algorithmic Trading Concepts | PDF |
| L30 | Credit Scoring & Risk Models | PDF |
| L31 | Fraud Detection & AML | PDF |
| L32 | NLP in Finance | PDF |
| L33 | Robo-Advisors (ML Aspects) | PDF |
| L34 | Market Prediction Limitations | PDF |
| L35 | Explainability & Bias | PDF |
| L36 | AI Regulation & Future | PDF |
Module 4: Traditional Finance (L37-L48)
| # | Lesson | PDF |
|---|
| L37 | Financial Markets | PDF |
| L38 | Core Banking | PDF |
| L39 | Payment Rails | PDF |
| L40 | Electronic Trading | PDF |
| L41 | Market Microstructure | PDF |
| L42 | Risk Management | PDF |
| L43 | RegTech & Compliance | PDF |
| L44 | Capital Markets Tech | PDF |
| L45 | Derivatives Technology | PDF |
| L46 | Wealth Management | PDF |
| L47 | Data Vendors | PDF |
| L48 | CBDC & Future | PDF |
32Lessons
8Modules
1,017Bottomnotes
324Charts
M1: The Cost Problem
| # | Lesson | PDF |
|---|
| L01 | Anatomy of a Payment | PDF |
| L02 | Economics of Intermediation | PDF |
| L03 | Real-Time Payments | PDF |
| L04 | Platform Economics | PDF |
M2: The Access Problem
| # | Lesson | PDF |
|---|
| L05 | Financial Exclusion | PDF |
| L06 | Credit Scoring | PDF |
| L07 | Democratizing Investment | PDF |
| L08 | Algorithmic Fairness | PDF |
M3: The Trust Problem
| # | Lesson | PDF |
|---|
| L09 | Cryptographic Foundations | PDF |
| L10 | Consensus Mechanisms | PDF |
| L11 | Smart Contracts | PDF |
| L12 | DeFi & Stablecoins | PDF |
M4: The Risk Problem
| # | Lesson | PDF |
|---|
| L13 | Measuring Market Risk | PDF |
| L14 | Derivatives & Options | PDF |
| L15 | Institutional Risk | PDF |
| L16 | New Risk Landscape | PDF |
M5: The Automation Problem
| # | Lesson | PDF |
|---|
| L17 | ML Foundations | PDF |
| L18 | GenAI & LLMs | PDF |
| L19 | Limits of Prediction | PDF |
| L20 | MLOps | PDF |
M6: The Infrastructure Problem
| # | Lesson | PDF |
|---|
| L21 | Payment Rails | PDF |
| L22 | Core Banking | PDF |
| L23 | API Economy | PDF |
| L24 | Next-Gen Infrastructure | PDF |
M7: The Compliance Problem
| # | Lesson | PDF |
|---|
| L25 | AML & KYC | PDF |
| L26 | RegTech | PDF |
| L27 | Regulating the New | PDF |
| L28 | Model Risk Governance | PDF |
M8: The Future Problem
| # | Lesson | PDF |
|---|
| L29 | Digital Identity | PDF |
| L30 | Quantum Computing | PDF |
| L31 | Climate Finance | PDF |
| L32 | Future Synthesis | PDF |
| Dimension | V3 | V4 |
|---|
| Structure | 4 modules, 12 lessons each | 8 problem-based modules, 4 lessons each |
| Total Lessons | 48 | 32 |
| Design Approach | Topic-based (FinTech, Blockchain, AI, Traditional) | Problem-based (Cost, Access, Trust, Risk, Automation, Infrastructure, Compliance, Future) |
| Slides | 1,151 across all lessons | ~960 across all lessons |
| Charts | 663 matplotlib charts | 324 charts (292 data + 32 XKCD) |
| Pedagogical Style | Survey-style, comprehensive coverage | Problem-first, discovery learning with bottomnotes |
| Supplemental Materials | 6 student projects, interactive demos | Quizzes + exercises per lesson, mini-lectures, Jupyter notebooks |
| Module Names |
FinTech, Blockchain, AI/ML, Traditional Finance |
Cost, Access, Trust, Risk, Automation, Infrastructure, Compliance, Future |
| Target Audience | BSc students (broad survey) | BSc students (deeper, problem-oriented) |
| Shared Preamble | Per-module preambles | Single shared preamble + chart style system |