IE4910 GAME THEORY AND ECONOMICAL DECISION ANALYSIS
Course Code: | 5684910 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 5.0 |
Department: | Industrial Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Assoc.Prof.Dr. ÖZGEN KARAER |
Offered Semester: | Fall Semesters. |
Course Objectives
Course Content
Introduction to game theory, Discussion of different classes of games, Theory and applications of static/dynamic games of complete information games, Applications, Discussion of rationality.
Course Learning Outcomes
Program Outcomes Matrix
Contribution |
# | Program Outcomes | No | Yes |
1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | | ✔ |
2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | | ✔ |
3 | An ability to communicate effectively with a range of audiences | ✔ | |
4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | | ✔ |
5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |
6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |
7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |
8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |
9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |
10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | | ✔ |