ENGINEERING MANAGEMENT (TURKISH, NON-THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ISM5206 | Decision Analysis | Fall | 3 | 0 | 3 | 8 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | Tr |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Instructor ÖZLEM KANGA |
Course Lecturer(s): |
Assoc. Prof. SEROL BULKAN |
Course Objectives: | The aim of the course is to introduce the graphical models used in decision analysis and to provide a set of systematic tools to help the decision maker in giving a decision. |
The students who have succeeded in this course; - Recognize the graphical models used in decision analysis. - Model a given uncertain situation with Bayes networks. - Compute exact and approximate inferences in Bayes networks. - Model a given uncertain decision problem with influence diagrams. - Make inferences in decision networks. - Compute value of information. |
Expected Utility, Causal and Bayesian networks, Exact inference in Bayesian networks, Approximate inference in Bayesian networks, Learning Bayesian networks, Influence and decision networks, Value of information |
Week | Subject | Related Preparation | |
1) | Probability review | ||
2) | Expected Utility | ||
3) | Causal and Bayesian networks | ||
4) | Building Bayesian models | ||
5) | Exact inference in Bayesian networks | ||
6) | Exact inference in Bayesian networks | ||
7) | Approximate inference in Bayesian networks | ||
8) | Approximate inference in Bayesian networks | ||
9) | Midterm exam | ||
10) | Learning Bayesian networks | ||
11) | Influence and decision networks | ||
12) | Influence and decision networks | ||
13) | Value of information | ||
14) | Project presentations |
Course Notes: | F.V. Jensen, 2001. Bayesian networks and decision graphs, New York : Springer |
References: | Robert T. Clemen, 1996. Making Hard Decisions: An Introduction to Decision Analysis, 2nd edition, Duxbury Press |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | 4 | % 10 |
Presentation | % 0 | |
Project | 1 | % 20 |
Seminar | % 0 | |
Midterms | 1 | % 30 |
Preliminary Jury | % 0 | |
Final | 1 | % 40 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 14 | 2 | 28 |
Presentations / Seminar | 1 | 10 | 10 |
Project | 1 | 40 | 40 |
Homework Assignments | 4 | 10 | 40 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | ||
Midterms | 1 | 15 | 15 |
Paper Submission | 0 | ||
Jury | 0 | ||
Final | 1 | 20 | 20 |
Total Workload | 195 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To be process oriented | |
2) | To integrate technical specifications with management functions | |
3) | To improve management skills by taking into account the economic, social and environmental conditions | |
4) | To launch fast and agile decision-making process | |
5) | To lead disciplinary and multi-disciplinary teams, to develop solution approaches in complex situations, to work individually and to take responsibility | |
6) | To have conscious of professional and ethical responsibility | |
7) | To be aware of economic and legal implications of engineering solutions | |
8) | To have ability of selection and efficient use of modern techniques, equipments and information technologies for engineering management | |
9) | To have verbal and oral effective communication skills by using visual methods in Turkish and English | |
10) | To have conscious of necessity to lifelong learning | |
11) | To be aware of entrepreneurship, sustainability and innovation | |
12) | To be capable of designing and conducting experiments and collecting data, analyzing and interpreting results |