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)
N/A
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

Sources

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
Major Area Courses X
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 Ability to determine, identify, formulate and solve the problems in the field of aviation management; for this purpose, ability to select and apply appropriate methods of analyzing and modelling X
2 Adequate knowledge in the areas of business, management, and aviation management; ability to apply to identify and solve the problems encountered in the field of air transport operations and theoretical and practical knowledge in these areas. X
3 Ability to design to meet the specific requirements of complex system or process related to aviation management, under realistic constraints and conditions; for this purpose, ability to apply modern design methods.( Realistic constraints and conditions, depending on the nature of the design, contain items as economics, environmental issues, sustainability, manufacturability, ethical, health, safety, social and political problems.) X
4 The ability to select, use and develop of modern techniques and tools that are needed for the applications needed in aviation management;the ability to use information technologies effectively. X
5 To examine the problem of aviation management experimental design, conducting experiments, collecting data, analyzing and interpreting the results skills. X
6 The ability to work effectively in the disciplinary and multi-disciplinary teams; individual study skills. X
7 Effective verbal and written communication skills in English; follow the information and developments in the field and be able to share with other people, use it in the B1 level of European Language Portfolio, knowing at least one foreign language. X
8 Aware of the necessity of lifelong learning, ability to access to information, follow developments in science and technology and continuous self-renewal ability. X
9 Information about business applications such as project management, risk management and change management; awareness of entrepreneurship, innovation and sustainable development. X
10 Information about the effects of aviation management applications on health, environment and safety in the universal and social dimensions and be aware of the legal consequences of the applications to be performed. X
11 To possess conscious about the effects of management and workplace applications of aviation management enterprises on occupational and environmental safety and the health of employees, as well as awareness about legal consequences of these applications. X
12 To possess conscious about responsibility of professional and ethics.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
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