Applied Computational Economics
Type: For the student's choice
Department: economic cybernetics
Curriculum
Semester | Credits | Reporting |
7 | 3 | Setoff |
Lectures
Semester | Amount of hours | Lecturer | Group(s) |
7 | 16 | Associate Professor Larysa Zomchak |
Laboratory works
Semester | Amount of hours | Group | Teacher(s) |
7 | 32 | Associate Professor Larysa Zomchak |
Course description
Computational methods are of crucial importance for applications in economics and beyond. This ranges from economic modeling to applied economics to econometrics to finance and data science. This seminar intends to give a broad overview over the techniques, methods, and applications. It includes programming with a general purpose programming language and demonstrates how computational methods are implemented. It allows students to gain experience with the simple applications of computational methods in general and with the programming language primarily used in the course (Python) in particular. While the economic application of sophisticated methods like machine learning, agent-based modeling, and micro-econometrics, and natural language processing is beyond the scope of this course, it will give students a basic understanding and a good starting point for further studies in these fields.