Winter Term
Courses
Prof. Dr. Christian Cordes
Lecture: eyery year
ECTS: 6
Language: german
Learning outcomes:
Foundations of economic decisions and problems, economic rationality, markets and coordination problems, fallacy of aggregation, externalities, economics of scale, asymmetric information, macroeconomic thinking, modern economic challenges.
Students are able to evaluate basic economic problems and challenges and to participate in debates on economic policy.
Practical Exercises
Seminar: every year
ECTS: 6
Language: german/english
Learning outcomes:
Students will get familiar with basic concepts in the field of innovation economics. Moreover, several interdisciplinary extensions of the analysis are presented, such as ideas from system theory or cognitive psychology. The course includes some formal models, such as those stemming from standard microeconomics, but also several imports from other disciplines, such as the replicator dynamic. Some behavioral aspects will be added to the discussion to gain a better understanding of the role of human cognition in determining the direction and pace of technological change. Moreover, students will learn to apply these concepts to explain empirically observed phenomena of innovation-driven economic change.
IERP-Seminar
ECTS: 3
Language: english
In this seminar you will find a series of presentations given by PhD students and other researchers (e.g., Post-docs and “Habilitanden”) in business studies and economics from Bremen University.
In addition, it provides a stage to discuss key research articles from various areas or disciplines.
The seminar is open to anyone interested.
Seminar: jährlich
ECTS: 6
Sprache: English
Lernziele / Kompetenzen: This module introduces students to graduate level microeconomic theory with a focus on behavioral aspects. They will get familiar with established concepts and methodological tools of behavioral economics. Moreover, fields of research belonging to more heterodox approaches to microeconomics and their implications are introduced. In any case, students attain crucial analytical skills to apply advanced theoretical concepts of microeconomics to empirical phenomena, such as bounded rationality, “green” preference learning, findings from happiness research, “nudging” as a behavioral political instrument, empathy, or the effects of (evolved) cognitive “biases” in decision making and preference acquisition.
Seminar: every semester
ECTS: 6
Language: English
Learning Objectives/Competencies: This module introduces students to basic concepts of innovation economics through the exemplary case of Artificial Intelligence (AI). They will get familiar with economic perspectives used to understand the emergence and development of this (disruptive) technology. In particular, students will learn about main concepts of AI (e.g., what is machine learning, supervised and unsupervised learning, etc.), links between AI and other technologies, empirical approaches used to identify and measure AI innovations, the potential of this technology as a tool for political control, and other potential risks linked to AI. At the end of the course, students will be able to better understand the challenges of AI-related empirical research, the particularities of AI as an important emerging technology, and will be more familiarized with relevant concepts needed to develop their own innovation studies.
This project module is specially designed for master's students who are interested in conducting empirical research. Throughout the module, the students will be presented with key concepts of innovation economics, as well as relevant tools for conducting empirical research. During the module, students will also have time and be assisted with their own projects, which are to be evaluated at the end of the semester.