Facts about the course

ECTS Credits:
7.5
Responsible department:
Faculty of Business Administration and Social Sciences
Course Leader:
Andrew Muteti Musau
Lecture Semester:
Autumn
Teaching language:
English
Duration:
½ year

BØK750 Decision and Game Theory (Autumn 2022)

About the course

Game theory attempts to model strategic behavior in situations where the outcome depends on the actions of several participants. The aim of this course is to provide an overview of the modeling of such strategic situations.

 

The course is connected to the following study programs

Recommended requirements

Basic knowledge of calculus and probability theory is an advantage. Participation in SØK710 Industrial Organization can be a benefit, but not a prerequisite.

The student's learning outcomes after completing the course

Knowledge

Upon completion of the course, students will have:

  • solid knowledge of theories and principles for analysis of decision making under uncertainty and under strategic interaction.

Skills

Upon completion of the course, students will be able to:

  • apply economic analysis to understand decision making under uncertainty and strategic interaction
  • apply game theoretic methods to understand behavior and outcomes in situations where agents have different objectives, action possibilities and information

General competence

Upon completion of the course, students will:

  • be able to apply these methods to relevant economic problems

 

Forms of teaching and learning

Classroom lectures. 2 two-hour sessions per week.  

Coursework requirements - conditions for taking the exam

  • Mandatory coursework: Assignment(s)
  • Courseworks given: 2
  • Courseworks required: 2
  • Presence: Not required
  • Comment:

Examination

  • Form of assessment: Digital school assessment - Inspera
  • Proportion: 100%
  • Duration: 4 hours
  • Grouping: Individual
  • Grading scale: Letter (A - F)
  • Supported material:

Syllabus

Pensumoversikt

Last updated from FS (Common Student System) May 15, 2024 4:31:56 AM