ISM5206 Decision AnalysisBahçeşehir UniversityDegree Programs PHYSIOTHERAPY AND REHABILITATION (TURKISH)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
PHYSIOTHERAPY AND REHABILITATION (TURKISH)
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 Fall 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) To have theoretical and practical knowledge required to fulfill professional roles and functions of Physiotherapy and Rehabilitation field. 2
2) To act in accordance with ethical principles and values in professional practice. 1
3) To use life-long learning, problem-solving and critical thinking skills. 4
4) To define evidence-based practices and determine problem solving methods in Physiotherapy and Rehabilitation practices, using theories in health promotion, protection and care. 1
5) To take part in research, projects and activities within sense of social responsibility and interdisciplinary approach. 3
6) To have skills for training and consulting according to health education needs of individual, family and the community. 1
7) To be sensitive to health problems of the community and to be able to offer solutions. 3
8) To be able to use skills for effective communication. 5
9) To be able to select and use modern tools, techniques and modalities in Physiotherapy and Rehabilitation practices; to be able to use health information technologies effectively. 1
10) To be able to search for literature in health sciences databases and information sources to access to information and use the information effectively. 1
11) To be able to monitor occupational information using at least one foreign language, to collaborate and communicate with colleagues at international level. 1
12) To be a role model with contemporary and professional identity. 4