Program Overview

Program Overview

The University of Copenhagen offers a comprehensive range of programs, including Bachelor's, Master's, PhD, and Continuing Education. The program details are as follows:

Program Structure

• The program is divided into four parts:
  • Static games with complete information
  • Dynamic games with complete information
  • Static games with incomplete information
  • Dynamic games with incomplete information

Course Content

The course covers the following topics:

• Introduction to game theory and its applications in economic models
• Preparation for advanced courses in the subject
• Modeling of economic problems involving strategic decisions using game-theoretic models
• Solution of certain models
• Focus on numerical solution methods to work with more realistic and realistic models

Learning Objectives

The course aims to enable students to:

• Analyze and understand a concrete strategic problem in reality using game theory
• Evaluate and discuss the realism of a model's underlying assumptions for a specific situation
• Implement realistic economic models numerically

Course Details

• Course code: NDAB20009U
• Credits: 7.5 ECTS
• Level: Bachelor
• Duration: 1 block
• Placement: Block 4
• Language: Danish

Admission Requirements

• Recommended prerequisites:
  • Microeconomics A (MikØkA)
  • Numerical Methods (NuMe)
  • Econometrics B (ØkB)

Teaching Methods

• 3x2 hours of lectures and 2x2 hours of exercises per week for 7 weeks

Workload

• Category:
  • Lectures: 42 hours
  • Preparation (estimated): 116 hours
  • Theoretical exercises: 28 hours
  • Exam: 20 hours
  • Total: 206 hours

Assessment

• Exam form: Written assignment, 48 hours
• Exam requirements: Two mandatory assignments must be submitted and approved
• Grading scale: 7-point scale
• Censorship form: External censorship
• Re-exam: Consists of two parts:
  1. (Re-) submission of the exam assignment
  2. Oral examination (30 minutes without preparation) in the submitted exam assignment

Evaluation Criteria

The student must satisfactorily demonstrate that they meet the course's learning objectives.

Course Information

• Department: Department of Computer Science
• Faculty: Faculty of Science
• Study board: Study Board for Mathematics and Computer Science
• Institute: Department of Computer Science
• Capacity: No limit, unless you sign up during the late registration period (BA and KA) or as a merit or single-course student.