Financial Literacy with Python

Financial Literacy with Python (FLIP)

6/7. Semester 5 ECTS | 4 SWS Continuous Assessment (CA)

CSB IB IMB UIB

Understand Financial Markets: Learn everything from investing to retirement planning and use programming to make data-driven financial decisions.

What Is Financial Literacy? Why Is It Important?
Fundamentals: Money, Functions of Money, Inflation, Interest and Compound Interest, Risk and Return, Volatility, Currencies, Financial Life Cycle, Psychology of Money, Overview of Personal Financial Management
Employment and Salary, Taxes and Social Contributions
Retirement Provision and Pension Systems
Insurance
Loans and Investments
Real Estate: Owner Occupancy vs. Investment, Financing
Pensions and Bonds
Stocks and Indices, Stock Analysis
ETFs and Mutual Funds
Commodities and Precious Metals
Cryptocurrencies
The course is complemented by guest lectures from industry experts.
A field trip to the Money Museum at the Deutsche Bundesbank in Frankfurt am Main is planned.
To deepen the data science-related content, Python and Jupyter Notebooks are used. All necessary aspects of their use are covered; however, this is not intended to be a Python programming course.

Students are able to

describe the fundamental concepts and relationships of finance, including money, inflation, return, risk, and currencies.
manage their personal finances as early-career professionals and make well-informed financial decisions relevant to their future.
apply data science methods and techniques to analyze and evaluate alternative financial decisions.

Bucher-Koenen, T./ Knebel, C.: Finanzwissen und Finanzbildung in Deutschland: Was wissen wir eigentlich?, Vierteljahrshefte zur Wirtschaftsforschung 1 / 2021, S. 11-32
Hilpisch, Y.: Python for Finance, 2. Aufl, O'Reilly, 2019
Lewison, E.: Python for Finance Cookbook, 2. Aufl., Packt, 2022
Martin, T.: Finanzmathematik, Grundlagen – Prinzipien – Beispiele, 3. Aufl., Hanser 2014
Stiftung Warentest Finanzen Zeitschrift