Game Theory and Decision Making in Service Systems
Program
Undergraduate
Areas
Algorithms and systems analysis
Description
The strategic interactions among multiple agents is a fundamental feature of many service systems. Decision making theory is a basic tool for describing and analyzing such interactions.
This course involves an introduction of Service Science. It integrates with game theory and economics, aiming to understand and improve service systems. Emphases are on the new economy and how socioeconomic principles apply in emerging business models including networked enterprises and e-marketplaces.
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 (from academic year 2024-25)
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.
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
Code
Computer Science Area
A1
Computer architecture and microelectronics
A2
Computer systems, parallel and high performance computing
A3
Computer security and distributed systems
A4
Computer networks, mobile computing, and telecommunications
B1
Algorithms and systems analysis
B2
Databases, information and knowledge management
B3
Software engineering and programming languages
B4
Artificial Intelligence and machine learning
C1
Signal processing and analysis
C2
Computer vision and robotics
C3
Computer graphics and human-computer interaction
C4
Βioinformatics, medical informatics, and computational neuroscience
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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