Course Name Code Semester T+U Hours Credit ECTS
Decision Theory and Analysis ENM 319 5 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. İBRAHİM ÇİL
Course Assistants
Course Category
Course Objective This course covers basically how the decisions given and what methods are used. In this course, mathematical, statistical, and psychological approaches are studied and taught.
Course Content : Decision theory, types and characteristics of decision making; components, elements, structure, process, models and matrix of decision making. Decision making problem and general characteristics. Decision situations. Multi-criteria decision making Use of statistics and probability in design decision making. Squential decision making.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Analyse the problems by analytical thinking Lecture, Question-Answer, Testing, Oral Exam,
2 Configure and analyze problems. Drilland Practice, Motivations to Show, Testing, Project / Design,
3 Solve business problems using decision making Problem Solving, Lecture, Question-Answer, Testing, Homework,
4 Analyze business problems and provides solutions to utility and game theory perspective. Lecture, Drilland Practice, Homework,
5 Apply the multi criteria decision making techniques to complex systems Motivations to Show, Simulation, Testing, Project / Design,
6 Make group decisions and apply the decisions to the solution of the problems Simulation, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to Decision-making and Developments in Decision-making theories
2 Rational decision-making and psychological aspects of Decision Making
3 Decision-making process and decision problems
4 Classification of decision problems, decision making under certainty and risk
5 Decision Trees and Bayesian approach
6 Decision making under uncertainty
7 Utility Theory
8 Exam
9 Introduction to Multi-criteria decision making methods
10 Analytic Hierarchy Process and Analytic Network Process
11 Game theory
12 Game theory-Continued
13 Group Decision Making
14 Social choice theory
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
9 Engineering graduates with well-structured responsibilities in profession and ethics X
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. X
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. X
Evaluation System
Semester Studies Contribution Rate
1. Ödev 20
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ara Sınav 60
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 3 3
Assignment 1 10 10
Performance Task (Laboratory) 1 16 16
Total Workload 125
Total Workload / 25 (Hours) 5
dersAKTSKredisi 5