Decision Analysis (AVM417) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Decision Analysis AVM417 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Drill and Practice, Problem Solving, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Students will identify the methodology of decision analysis in multiple objective and uncertainty environments. Students will be able to analyze a decision problem, define decision elements and structure the decision problem. Students will be able to implement techniques to solve decision problems and apply sensitivity analysis techniques. Students will be able to assess the value of information. Development of probabilistic decision models and analysis of expert judgment will be covered in this course.
Course Learning Outcomes The students who succeeded in this course;
  • Students will learn theoretical background information on decision analysis in multiple objective and uncertainty environments
  • Students will be able to understand and structure problems in decision-making in multiple objective and uncertainty environments
  • Students will be able to define, analyze and solve decision problems of organizations
Course Content Decision making in uncertain environments; element of decision problems, structuring of decision problems, solving decision problems, sensitivity analysis, expert judgment, multi-criteria decision models.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Decision Making
2 Elements of Decision Problems
3 Decision Structuring
4 Decision Structuring
5 Decision Solving
6 Decision Solving
7 Sensitivity Analysis
8 Sensitivity Analysis
9 Expert Judgment
10 Mid-Term Exam
11 Theoretical Probability Decision Models
12 Theoretical Probability Decision Models
13 Value of Information
14 Multi-Criteria Decision Models
15 Multi-Criteria Decision Models
16 Final Exam


Course Book 1. Clemen, R.T., and Reilly, T., Making Hard Decisions: An Introduction to Decision Analysis, 2nd edition, Duxbury Press, 2000.
Other Sources 2. Raiffa, H., Decision Analysis, 2nd edition, Addison-Wesley, 1968..
3. Holloway, C.A., Decision Making Under Uncertainty, Prentice Hall, 1979.
4. Winston, W.L., Operations Research, 2nd edition, PWS-KENT, 1991.
5. Marshall T.K, and Oliver R.M., Decision Making and Forecasting, McGraw-Hill Inc., 1995.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 1 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 50
Toplam 3 100
Percentage of Semester Work 50
Percentage of Final Work 50
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply airframe and powerplant maintenance skills for the candidates to prepare for the EASA JAR 66 certification.
2 To learn the technical terms and concepts in order to communicate verbally and in writing about the maintenance procedures, reports and results.
3 An ability to apply of knowledge and skills in solving aircraft maintenance problems.
4 An ability to understand and apply fundamental sciences and forethoughts the facts and precautions (such as physics).
5 The knowledge of operating principles of aircraft, and fundamental principles of aircraft flight and maintenance.
6 A standard and widespread understanding of professional and ethical responsibility.
7 Knowledge of the importance of the application of maintenance procedures correctly.
8 Knowledge of personal safety.
9 An ability to perform inspection techniques.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Homework Assignments 1 8 8
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 123