Game Theory and Decision Making in Service Systems
Program
Undergraduate
Areas
Information Systems
Description
Strategic interactions among multiple actors represent a key characteristic of modern service systems. Decision Theory provides an essential framework for understanding and analyzing models that capture these interactions. This course introduces the fundamental principles of Service Science and explores decision-making processes in complex business transformation initiatives enabled by Information and Communication Technologies (ICTs).
The course addresses the following topics:
Fundamental concepts of Service Science
The distinction between the New Economy and traditional market structures:
Supply chain management
Service networks and ecosystems
Decision-making models under uncertainty
Core concepts of Game Theory:
Strategic-form games
Extensive-form games with perfect and imperfect information
Oligopolistic competition
Auction theory and mechanisms
Applications of decision and game-theoretic models in service systems, including transportation, healthcare, and other large-scale service environments.
Learning Outcomes
Knowledge: Having attended and succeeded in the course, the student has acquired knowledge on the modeling of game theoretic and decision making problems and their applications to service systems. Understanding: Having attended and succeeded in the course, the student has a deep understanding of the analytic and algorithmic methods for specific problems from service systems and of the way of thinking of game theory and decision making. Application: Having attended and succeeded in the course, the student is able to reuse methods and tools for solutions of specific versions of known problems of game theory and decision making at service systems. Analysis: Having attended and succeeded in the course, the student is able to analyze situations and problems of game theory and decision making in an abstract way of thinking and to give solutions for them. Synthesis: Having attended and succeeded in the course, the student is able to combine tools and methods for the solution of complex game theoretic and decision making problems at service systems. Evaluation: Having attended and succeeded in the course, the student is able to evaluate the solution concepts of game theoretic and decision making problems.
Student Performance Evaluation
Specific details on grading can be found on the course’ s website
ECTS
6
Prerequisites
CS-217, CS-317
List of courses
A+
A-
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course; the second digit denotes the area of computer science to which the course belongs.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Second Digit
Computer Science Area
0
Introductory - General
1
Background (Mathematics, Physics)
2
Hardware Systems
3
Networks and Telecommunication
4,5
Software Systems
6
Information Systems
7
Computer Vision and Robotics
8
Algorithms and Theory of Computation
9
Special Projects
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.
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