# Game Theory

 Title Θεωρία Παιγνίων / Game Theory Code 081 Faculty Engineering School Electrical and Computer Engineering Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Athanasios Kechagias Common No Status Active Course ID 600001034

### Programme of Study: Electrical and Computer Engineering

Registered students: 85
OrientationAttendance TypeSemesterYearECTS
ELECTRICAL ENERGYElective Courses844
ELECTRONICS AND COMPUTER ENGINEERINGElective Courses844
TELECOMMUNICATIONSElective Courses844

 Academic Year 2021 – 2022 Class Period Spring Faculty Instructors Athanasios Kechagias 3hrs Weekly Hours 3 Class ID 600198750

### Class Schedule

 Building Πολυτεχνείο - πτέρυγα Γ (ΤΗΜΜΥ & Τοπογράφων Μηχ.) Floor Όροφος 1 Hall Α3 (2) Calendar Παρασκευή 14:00 έως 17:00
Course Type 2016-2020
• Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
• Face to face
Digital Course Content
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Calsulus I, Linear Algebra
Learning Outcomes
At course conclusion the students will be able to do the following. 1. Solve specific game types (two player zero sum games, two player games in extensive form, repeated two player games, pursuit evasion games) using analytical and computational methods. 2. Use basic game solving software (Gambit, Game Theory Explorer, Maple Game Theory Toolbox). 3. Apply Game Theory concepts in modeling of engineering problems. In addition, the students will have formed an clear intuition regarding the basic Game Theory concepts.
General Competences
• Apply knowledge in practice
• Make decisions
• Work autonomously
• Work in teams
• Advance free, creative and causative thinking
Course Content (Syllabus)
This course is an introduction to Game Theory. After presenting the fundamentals of the theory, emphasis is placed on Electrical Engineering applications (communications, networks, agents, robotics, electrical energy). The following topics will be covered. 1. Mathematical definition of games (in normal and extensive form) and their solutions. Zero-sum and non-zero-sum games of two and N players. 2. Minimax solution an dNash equilibrium. 3. Learning, evolution and computability. 4. Stochastic games, repeated games, mixed and behavioral strategies. 5. Applications 5.1 Pursuit evasion games in robotics. 5.2 Communications. 5.3 Routing in computer networks. 5.4 Electrical energy pricing.
Educational Material Types
• Notes
• Interactive excersises
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Communication with Students
• Use of ICT in Student Assessment
Course Organization
Lectures722.4
Written assigments200.7
Exams280.9
Total1204
Student Assessment
Student Assessment methods
• Written Assignment (Formative, Summative)
• Oral Exams (Formative, Summative)
• Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Martin J. Osborne, Εισαγωγή στη θεωρία παιγνίων, Κλειδάριθμος (2010). ISBN: 9789604613939. 2. Ευάγγελος Φ. Μαγείρου, Παίγνια και αποφάσεις, 2009, ISBN: 9789609310727. 3. Μηλολιδάκης Κωστής , Θεωρία παιγνίων: Μαθηματικά μοντέλα σύγκρουσης και συνεργασίας, Σοφία (2009). ISBN: 960-6706-30-3
Last Update
24-03-2016