Learning objectives / skills
In this module, students learn the major economic and regulatory framework conditions of banking, the basic internal bank risk management procedures and processes, and selected associated theoretical and methodological principles and challenges. Grounded on this knowledge and the application-oriented use of MS Excel to analyze financial data, students are enabled to independently analyze and evaluate more complex banking problems and to develop appropriate solutions on this basis. Selected issues are analyzed, evaluated and discussed or reflected on in detail in selective exercise units in smaller groups. By attending this module, students recognize the key challenges of today's banking operations and acquire the essential skills to meet these challenges effectively and efficiently with suitable financial management solutions.

Contents
(a detailed overview of the lecture contents can be found in the Moodle course for BF.4)

1. Banking system, Services and Target systems of Credit Institutions
2. Bank management and Profitability controlling
3. Risk management
4. Banking supervision as a central framework condition of the banking business

Applied methods of business administration
In this module, different research and analysis models and methods are used. The focus is on simulation models (e.g. historical simulation), distribution models (e.g. for the theory-based definition of distribution parameters of stochastic variables), time series analysis models (e.g. for deriving distribution parameters of stochastic returns), normative decision-theory models (e.g. investment decisions under uncertainty), valuation models (e.g. bond pricing) and various other quantitative-empirical models (e.g. comparative key figure analyses of different credit institutions) as well as qualitative-interpretative methods (e.g. competitive analyses, qualitative comparative analyses, analyses of different business strategies).

Teaching and learning methods
Seminar-based teaching, solving practice-oriented tasks and case studies, working groups / discussions, PC-based model calculations and analyses (BYOD - Bring Your Own Device), guest lectures, self-directed learning / experiential learning, home assignments.

Literature
Will be announced in the lecture.