PSY6105 BAYESIAN STATISTICS IN PSYCHOLOGY
| Course Code: | 2336105 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Psychology |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
Course Content
This is a course on advanced statistics with Bayesian approach. Topics will be on the fundamentals of Bayesian data analysis obtained from behavioral experiments. Traditional statistical tests will be covered with a Bayesian approach.
Course Learning Outcomes
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | Skills to understand and successfully employ the latest and most advanced research and data analysis methods and techniques. | ✔ | |||
| 2 | Knowledge of the latest theoretical and empirical literature in psychology. | ✔ | |||
| 3 | Skills to conduct research and critically evaluate the important literature on any topic of interest related to psychology or other relevant disciplines. | ✔ | |||
| 4 | Awareness about the novel information in light of the theoretical knowledge gained and knowledge to develop advanced research topics and questions. | ✔ | |||
| 5 | Skills to develop and carry out a research project from beginning to end in light of the formulated research questions using the accumulated knowledge from relevant literature and methods. | ✔ | |||
| 6 | Awareness of conducting research, publishing, and application activities in light of ethical principles and values. | ✔ | |||
| 7 | Skills to work independently as an individual and as part of a team. | ✔ | |||
| 8 | Skills to communicate effectively, both in written and oral forms of English and Turkish, during scientific activities. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution