BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| FILM AND TELEVISION | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| 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. |
Basic information
| 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. |
Learning Outcomes
|
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. |
Course Content
| 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 |
Weekly Detailed Course Contents
| 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 |
Sources
| 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 |
Evaluation System
| 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 | |
ECTS / Workload Table
| 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 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Being familiar to the main concepts and methods of the social sciences and the fine arts devoted to understanding the world and the society | 4 |
| 2) | Having comprehensive knowledge regarding different media and branches of art | 3 |
| 3) | Knowing the historical background of audio-visual moving images in the world and in Turkey and keeping pace with the new developments in the area | 1 |
| 4) | Having a good command of the language and the aesthetics of audio-visual moving images in the world and in Turkey | 1 |
| 5) | Being able to create a narrative that could be used in a fiction or a non-fiction audio-visual moving image product | 2 |
| 6) | Being able to write a script ready to be shot | 2 |
| 7) | Having the skills to produce the photoboard of a script in hand and to shoot the film using the camera, the lights and other necessary equipment | |
| 8) | Being able to transfer the footage of a film to the digital medium, to edit and do other post-production operations | |
| 9) | Being able to create a documentary audio visual moving image from the preliminary sketch stage to shooting, editing and post-production stages | |
| 10) | Being able to produce an audio visual moving image for television and audio products for radio from preliminary stages through shooting and editing to the post-production stage | |
| 11) | Being culturally and theoretically equipped to make sense of an audio-visual moving image, to approach it critically with regard to its language and narration and being able to express his/her approach in black and white | 3 |
| 12) | Having ethical values and a sense of social responsibility | 5 |