| GASTRONOMY (TURKISH) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ISM5206 | Decision Analysis | Fall | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | Turkish |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Instructor ÖZLEM KANGA |
| Course Lecturer(s): |
Assoc. Prof. SEROL BULKAN |
| Recommended Optional Program Components: | N.A. |
| 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 / Textbooks: | 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 |
| Homework Assignments | 4 | % 10 |
| Project | 1 | % 20 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| 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 |
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentations / Seminar | 1 | 10 | 10 |
| Project | 1 | 40 | 40 |
| Homework Assignments | 4 | 10 | 40 |
| Midterms | 1 | 15 | 15 |
| 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) | - Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources. | |
| 2) | Use of advanced theoretical and practical knowledge within the field. -Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field. | |
| 3) | Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field. - Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data. -Organize and implement project and activities for social environment with a sense of social responsibility. -Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level. -Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. | |
| 4) | Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach. -Determine learning needs and direct the learning. -Develop positive attitude towards lifelong learning. | |
| 5) | Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field. - Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security. | |
| 6) | Conduct studies at an advanced level in the field independently. - Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field. - Planning and managing activities towards the development of subordinates in the framework of a project |