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Course Syllabus

Bachelor 2023/2024

Cooperative and Noncooperative Decision Making

Type: Elective course (Applied Mathematics and Information Science)
Area of studies: Applied Mathematics and Information Science
Delivered by: Department of Mathematics
Where: Faculty of Computer Science
When: 4 year, 1, 2 module
Mode of studies: offline
Open to: students of one campus
Instructors: Emre Dogan
Language: English
ECTS credits: 5
Contact hours: 60

Course Syllabus

Full Syllabus

Abstract

Rules that are engineered to govern the cooperative decision-making process naturally creates strategic environments and renders the decision-making noncooperative. This course introduces mechanism design and provides theoretical analysis of mechanism design in various models including assignment, matching, school choice, and auctions. Moreover, cooperative games, main concepts and solutions are introduced.
Learning Objectives

Learning Objectives

  • To familiarize students with the intertwined relation between the cooperative and noncooperative decision making and equip students with the knowledge of useful and important models of real-life problems.
Expected Learning Outcomes

Expected Learning Outcomes

  • After this course students will have a good understanding of various issues with designing decision making processes. They will gain skills in analyzing different aspects of mechanisms and engineer cooperative decision-making processes
Course Contents

Course Contents

  • Introduction to mechanism design
  • Object assignment problem with or without ownership
  • Matching
  • Random assignment
  • School choice
  • Auctions
  • Cooperative games
  • Cost sharing games
Assessment Elements

Assessment Elements

  • non-blocking homework
  • non-blocking midterm exam
  • non-blocking final exam
  • non-blocking attendance
Interim Assessment

Interim Assessment

  • 2023/2024 2nd module
    0.1 * attendance + 0.3 * final exam + 0.3 * homework + 0.3 * midterm exam
Bibliography

Bibliography

Recommended Core Bibliography

  • An introduction to game theory, Osborne, M. J., 2009
  • Haeringer, G. (2018). Market Design: Auctions and Matching. The MIT Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.mtp.titles.0262037548

Recommended Additional Bibliography

  • Zamir, S., Solan, E., & Maschler, M. (2013). Game Theory. Cambridge: Cambridge eText. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=527892