PSYCHOLOGY | |||||
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 | Spring | 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) | Develop close interest in human mind and behavior, and attain critical thinking skills (in particular the ability to evaluate psychological theories using empirical evidence), as well as appreciating psychology as an evidence based science. | |
2) | Gain a biopsychosocial understanding of human behavior, namely, the biological, psychological, social determinants of behavior. | |
3) | Acquire theoretical and applied knowledge and learn about basic psychological concepts and perspectives | |
4) | Familiarize with methodology and data evaluation techniques by being aware of scientific research methods (i.e. correlational, experimental, longitudinal, case study). | |
5) | Employ ethical sensitivity while doing assessment, research or working with groups. | |
6) | Familiarize with the essential perspectives of psychology (cognitive, developmental, clinical, social, behavioral, and biological). | |
7) | Get the opportunity and skills to evaluate qualitative and quantitative data, write reports, and present them. | |
8) | Attain preliminary knowledge for psychological measurement and evaluation. | |
9) | To have a basic knowledge of other disciplines (e.g. sociology, history, political science, communication studies, philosophy, anthropology, literature, law, art, etc) that can contribute to psychology and to be able to make use of this knowledge in understanding and interpreting of psychological process. | 3 |