Emerging Technology & Finance
Institute of Strategic Management and Finance, Ulm University
About this course
A Bachelor-level survey of the technologies reshaping finance today: agentic AI and LLMs, blockchain and DeFi, fintech business models, RegTech and cybersecurity, and central-bank digital currencies. The course alternates regular lectures (introducing a topic) with flipped sessions (where every group presents their own angle, demo, or critique). Grading is 100% cumulative across the six flipped sessions, judged through a transparent token-based peer-grading mechanic — each group receives 20 fresh tokens per session to distribute among the other groups, contributing half of that session’s score; the lecturers contribute the other half. No exam, no final capstone — just six weeks of polished, peer-judged group work.
Course at a glance
| Term | Winter 2026/27 |
| Level | Bachelor |
| ECTS | 6 |
| Language | English |
| When | Thursdays 14:00–15:30 |
| Where | Helmholtzstraße 18, room E60, Ulm |
| Format | 6 regular lectures alternating with 6 flipped sessions (group presentations) |
| Assessment | 100% cumulative across 6 flipped sessions; per session = 50% peer tokens + 50% lecturer |
| Sign-up | Course Moodle page by 15 October 2026 |
Learning outcomes
By the end of the course, students will be able to:
- Explain the core technologies driving emerging-finance innovation (agentic AI, blockchain & DeFi, fintech, RegTech, CBDCs) and how they interact.
- Critically assess the business viability of an emerging-finance product against its regulatory and competitive context (PSD2/3, MiCA, EU AI Act, post-quantum standards).
- Identify the risks — technical, ethical, regulatory, market — that any specific emerging-tech application carries, and articulate mitigations.
- Design and deliver a short, evidence-backed group presentation on an emerging-finance topic, including a concrete example or live demo and a critical evaluation.
- Allocate peer evaluations thoughtfully and defensibly, using an explicit rubric (insight · originality · clarity · critical depth).
Required materials & setup
This is a conceptual course — no R, Python, or developer tooling is required. You will need:
Moodle account — for announcements, slide submission before each flipped session, and the token-allocation quizzes.
A laptop for group prep work (group choice — any OS, any toolchain).
Reference texts — these run through the course; we recommend skimming the relevant chapter before the regular lecture on each topic:
Module Recommended reading Foundations @philippon2016fintech · @goldfarb2019digital · @arner2017regtech Agentic AI & LLMs @agrawal2022prediction · @chen2023fingpt · @acemoglu2020wrongai · @eu2024aiact Blockchain, DeFi, Tokenisation @nakamoto2008bitcoin · @buterin2014ethereum · @harvey2021defi · @werbach2018blockchain · @eu2023mica Fintech business models @vives2017fintech · @frost2019bigtech · @berg2022fintech RegTech / Cyber / Privacy @arner2017regtech · @goldwasser1989zkp · @mcmahan2017federated · @nist2024postquantum CBDCs & future of money @brunnermeier2019digital · @auer2020retailcbdc · @bis2023cbdc · @ecb2023digitaleuro · @jack2014mpesa
Schedule
| Week | Date | Session |
|---|---|---|
| 1 | Oct 22, 2026 | Lecture 1: Foundations of Digital Disruption in Financial Services |
| 2 | Oct 29, 2026 | Lecture 2: Flipped — Digital Disruption in Financial Services |
| 3 | Nov 5, 2026 | Lecture 3: Agentic AI & LLMs in Finance |
| 4 | Nov 12, 2026 | Lecture 4: Flipped — Agentic AI & LLMs in Finance |
| 5 | Nov 19, 2026 | Lecture 5: Blockchain, Crypto, DeFi & Tokenisation |
| 6 | Nov 26, 2026 | Lecture 6: Flipped — Blockchain, Crypto, DeFi & Tokenisation |
| 7 | Dec 3, 2026 | Lecture 7: Fintech Business Models |
| 8 | Dec 10, 2026 | Lecture 8: Flipped — Fintech Business Models |
| 9 | Dec 17, 2026 | Lecture 9: RegTech, Cybersecurity & Privacy-Preserving Compute |
| 10 | Jan 7, 2027 | Lecture 10: Flipped — RegTech, Cybersecurity & Privacy-Preserving Compute |
| 11 | Jan 14, 2027 | Lecture 11: CBDCs & the Future of Money |
| 12 | Jan 21, 2027 | Lecture 12: Flipped — CBDCs & the Future of Money |
Assessment & deadlines
- Flipped-Classroom Presentation Series —
100%of the final grade. Six 6-minute group presentations (plus 2 min Q&A each) across six flipped sessions. Each session: 50% peer-allocated tokens + 50% lecturer evaluation. Final grade = mean across the 6 session scores. See the presentation series brief. - Group size: 4 students (lecturers allocate stragglers).
- Token mechanic: 20 tokens per group per session, allocated to other groups via a Moodle quiz within 5 minutes of session end. Anti-collusion check at end of term.
- Submission pattern: per-session slide PDFs uploaded to Moodle before each flipped session begins; lecturers archive them on the course site for the handout.
Instructors
- Prof. Dr. Andre Guettler — Director of the Institute · Helmholtzstraße 22, Room 205 · andre.guettler@uni-ulm.de
- Oliver Padmaperuma — Doctoral Candidate · Helmholtzstraße 22, Room 203 · oliver.padmaperuma@uni-ulm.de
Quick links
- Syllabus
- Presentation series brief (100% · cumulative across 6 sessions)
Access & contact
- Materials: all student-facing materials are linked from the course Moodle page. The links above are for staff convenience.
- Course-content questions: ask in class (preferred) or email oliver.padmaperuma@uni-ulm.de, CC andre.guettler@uni-ulm.de.
- Studies / exam-eligibility: studiensekretariat@uni-ulm.de.
- Technical (Moodle / IT): helpdesk@uni-ulm.de.