**Master Level**

- Economics (2019), FOM University of Applied Sciences for Economics and Management

**Description**

After Successful completion of the module, the students are able to

- Explain the complex relationship between external economic factors and entrepreneurial decisions

- Identify and explain the relevance of economic theories for describing and explaining real-life phenomena

- Identify microeconomic and macroeconomic cause-and-effect-relationships and apply them on necessary decision in companies

- Analyse and evaluate economic problems in reality using economic methods

- Describe, present, analyse and evaluate present topics of economic policy

- Identify the relevance of rules and rule systems (institutions) for explaining and solving problems in society

- Based on economic theories develop, discuss and evaluate solutions for societal problems - Qualitative Methods (2018/19), Heilbronn University

**Description**

This course highlights the most important and common approaches in qualitative research. It covers application fields and methods of qualitative research in economics and other practical fields. The course provides the opportunity to become acquainted with the process of qualitative research, and the analysis and presentation of qualitative data. The students work in groups to carry out a qualitative research project.

**Course Structure**

1. Introduction

2. Qualitative Research

3. Overview Qualitative Methods

4. Research Question

5. Focus Groups

6. Qualitative Interviews

7. Qualitative Content Analysis - Cooperative Game Theory (2017), University of Heidelberg
**Description**

In cooperative games, players are able to make enforceable contracts about cooperative behavior. As opposed to a non-cooperative game, there is competition between coalitions (i.e., groups of players) rather than competition among individual players. Cooperative game theory addresses the formation of coalitions and the division of payoffs. The seminar focuses on applications and examples of cooperative games, and on the most important basic concepts of cooperative game theory.

The seminar comprises (i) an introductory session at the beginning of the semester in which topics of seminar papers will be distributed, and (ii) a seminar session in which seminar papers will be presented. Writing a seminar paper teaches the skills of writing in a scientific style with adequate quoting of referenced literature. The seminar session serves to develop presentation skills. The assessment of the course will be based on both the seminar thesis and the seminar presentation. - Decision Theory (2016), University of Heidelberg

**Description**

This course will introduce students to the theoretical and experimental analysis of decision making with an emphasis on decision making under uncertainty. The course will provide students with the most common concepts of decision making under uncertainty which are necessary for a thorough understanding of their applications in Economics and Finance.

**Course Structure**

1. Introduction

2. Approaches to Decision Theory

3. Decision making under uncertainty: Expected Utility

4. Experimental evidence: Expected Utility

5. Ambiguity

6. Ambiguity Attitudes

7. Information and Learning

8. Non-Expected Utility - Social Choice and Welfare (2016), University of Heidelberg
**Description**

For economic policy evaluation, it is necessary to value economicactivities and outcomes. Conceptually it is not clear what criteria can and should be used inthese contexts. The seminar reviews the most important welfare and social choice concepts usedin economic analysis. A particular focus will be on the role of uncertainty and the behavioralapproach for welfare analysis.

The seminar comprises (i) an introductory session at the beginning of the semester in which topics of seminar papers will be distributed, (ii) a reading course in the middle of the term, and (iii) a conference-style seminar session in which seminar papers will be presented. Writing a seminar paper teaches the skills of writing in a scientific style with adequate quoting of referenced literature. The reading course will offer opportunities to discuss scientific literature in a scholarly way and the conference-type session serves to develop presentation skills. The assessment of the course will be based on all three components. - The Role of Models in Economics (2014), University of Heidelberg
**Description**

The seminar will introduce participants to the role of models in Economics. Modelling techniques influence the way economists analyse economic problems and collect data. The seminar raises the awareness for the central role of models in Economics. Seminar requirements are active participation, creating a seminar paper, and a seminar presentation. The paper should help students to acquire writing skills for academic papers and theses. A presentation in a conference-like environment will teach students how to present complex contents in a limited time frame.

**Bachelor Level**

- Game Theory (2017, 2015, 2013, 2012), University of Heidelberg

**Description**

The lecture offers an introduction to game theory for economists. The concepts of non-cooperative game theory, which are most frequently used by economists, are introduced and illustrated with the help of examples. Particular emphasis is placed on the ability to model economic problems using game-theoretical concepts.

**Course Structure**

1. Normal-form games. Dominance, Nash-Equilibrium, Mixed Strategies

2. Dynamic games with complete information. Extensive Form, Backward Induction, Subgame Perfection, Repeated Games, Folk Theorem

3. Games with incomplete information. Baysian Nash-Equilibrium, Auctions, Perfect Bayesian Equilibrium, Signaling Games

4. Experimental Results - Theory of Financial Markets (2017, 2014), University of Heidelberg

**Description**

The course introduces the basic theories of financial markets and their foundations.

**Course Structure**

1. Introduction: decision under uncertainty

2. The role of securities markets

3. Financial market systems

4. Evaluations of cash flows

5. Firms and securities markets

- Individual and Collective Behavior (2016), University of Heidelberg
**Description**

The seminar examines and discusses the economic method of explaining macroeconomic phenomena through aggregated microeconomic behavior. Seminar requirements are active participation, creating a seminar paper, and a seminar presentation. The paper should help students to acquire writing skills for academic papers and theses. A presentation in a conference-like environment will teach students how to present complex contents in a limited time frame. - Decision Theory (2015), University of Heidelberg
**Description**

The seminar offers an introduction to decision theory. Seminar requirements are active participation, creating a seminar paper, and a seminar presentation. The paper should help students to acquire writing skills for academic papers and theses. A presentation in a conference-like environment will teach students how to present complex contents in a limited time frame. - Microeconomics (2011/12), University of Heidelberg
**Description**

Microeconomics analyses certain observable results (e.g. prices), focusing on the behaviorof individual units (e.g. households and firms). In this context behavior isunderstood as a consequence of the objectives and options of the individual units.This course teaches the fundamentals of such a microeconomic analysis, based on the interaction between consumers and firms in markets and on other examples.

First,we will derivethe demand function from the decision of the consumers in a market, and we will discuss the resulting properties of the demand. Second, we will discuss the behavior of firms and the supply function. Third, we analyse the effect of supply and demand on perfect markets and discuss the effects of deviation from this idealized structure (market power, asymmetric information, externalities and public goods).

**Master Level**

- Econometrics (2019), Heilbronn University

**Description**

This course covers basic theory on econometrics as well as applied econometrics, in particular understanding quantitative output. Each lecture is accompanied with practical exercises using the statistics program SPSS.

**Course Structure**

1. Introduction

2. Covariance and Stochastic Independence

3. Analysis of Variance (ANOVA)

4. Bivariate Linear Regression

5. Multiple Linear Regression

6. Logistic Regression

- Quantitative Methods (2019/20, 2018/19), Heilbronn University

**Description**

This course imparts foundational statistical knowledge. Descriptive statistics as well as inferential statistics are covered.

**Course Structure**

1. Introduction

2. Descriptive Statistics

3. Random Variables and Probability Distributions

4. Discrete Probability Distributions

5. Continuous Probability Distributions

6. Sampling Distributions

7. Large-Sample Estimation

8. Large-Sample Tests of Hypotheses

9. Inferences from Small Samples - Advanced Mathematics for Economists (2016/17, 2015/16, 2014/15, 2013/14, 2012/13), University of Heidelberg

**Description**

The lecture plus the associated tutorials will provide students with the mathematical concepts necessary for dealing with optimisation problems, equation systems, and simple dynamic problems. After completing this course successfully, students will have the necessary prerequisites for reading economic journal articles of moderate mathematical content.

**Course Structure**

1. Introduction: Optimisation for Functions of One Variable

2. Sets and Functions

3. Functions of Several Variables

4. Multivariable Constrained Optimisation: Kuhn-Tucker Theorem

5. Solutions of Equation Systems

6. Dynamic Analysis

**Bachelor Level**

- Models and Methods of Data Assessment (2019/20), Heilbronn University

**Description**

This course provides an introduction to advanced models and methods of data analysis (e.g., regression analysis). The theoretical parts are accompanied by SPSS-excercises in which students learn how to apply the theoretical concepts using the statistics software SPSS.

**Course Structure**

1. Introduction

2. Covariance

3. SPSS-Excercise (Covariance)

4. ANOVA

5. SPSS-Excercise (ANOVA)

6. Bivariate Linear Regression

7. Multivariate Linear Regression

8. SPSS-Excercise (Linear Regression)

9. Logistic Regression

10. SPSS-Excercise (Logistic Regression)

- Artificial Intelligence and Machine Learning (2019), Heilbronn University

**Description**

Artificial intelligence (AI) is considered to be a key technology of the 21st century. Artificial intelligence and machine learning as one of its oldest branches might be the core components of a new industrial revolution based on automated organization and control of the entire value chain through an intelligent link of machines and workflows. So far, AI is applied to robotics and to big data analytics. In everyday life, we encounter AI especially in the context of automated pattern recognition. Some examples are image recognition (Facebook), voice recognition (iPhones Siri), and email spam filters. Current developments indicate that machine learning algorithms are created to support or replace clerk tasks. In this course, possible applications of AI in several business areas are discussed. After successful completion of the module, students know how to apply AI to business problems and to assess potential impacts of the application of AI on a company. - Research Methods and Statistics (2019/20, 2019, 2018/19), Heilbronn University

**Description**

In this course the basics of scientific working and basic statistics are conveyed. Students are introduced to conduct empirical studies through work in groups.

**Course Structure**

1. Introduction

2. Descriptive Statistics

3. Random Variables and Probability Distributions

4. Discrete Probability Distributions

5. Continuous Probability Distributions

6. Sampling Distributions

7. Large-Sample Estimation

8. Large-Sample Tests of Hypotheses