| COMPUTER ENGINEERING (ENGLISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| INE5206 | Decision Analysis | Spring | 3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi TUĞCAN DEMİR |
| 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 | ||
| 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 | Workload | |
| Course Hours | 14 | 42 | |
| Laboratory | |||
| Application | |||
| Special Course Internship (Work Placement) | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 28 | |
| Presentations / Seminar | 1 | 10 | |
| Project | 4 | 40 | |
| Homework Assignments | 4 | 40 | |
| Quizzes | |||
| Preliminary Jury | |||
| Midterms | 1 | 15 | |
| Paper Submission | |||
| Jury | |||
| Final | 1 | 20 | |
| Total Workload | 195 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Ability to identify and apply advanced concepts in computer engineering | |
| 2) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams. | |
| 3) | Have theoretical and practical basis in computer engineering and science to be able to conduct related academic research independently. | |
| 4) | Ability to apply advanced mathematical and engineering knowledge on real problems. | |
| 5) | Ability to search the scientific literature related to a research project and find the relationships with own research | |
| 6) | Ability to interprete scientific research and use the findings | |
| 7) | Ability to work efficiently in interdisciplinary research teams | |
| 8) | Ability to attain scientific knowledge | |
| 9) | Ability find ways to improve upon current knowledge | |
| 10) | Ability to present research findings in seminars and conferences | |
| 11) | Ability to write research progress reports by referring to published theses and papers. | |
| 12) | Ability to show the responsibility of professional and ethical behavior |