ISM5206 Decision AnalysisBahçeşehir UniversityDegree Programs BANKING AND INSURANCE MANAGEMENT (TURKISH)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
BANKING AND INSURANCE MANAGEMENT (TURKISH)
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ISM5206 Decision Analysis Spring
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: Associate (Short 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 the ability to understand the basic concepts of Banking and Insurance and to be able to use them effectively in business.
2) To have the ability to work individually or in a team when needed on matters related to his/her profession and to follow and apply the developments in his/her sector.
3) To be equipped with the necessary knowledge to carry out the legal responsibilities and to follow the related regulations in their sector.
4) To understand the importance of banking and insurance from the point of the state’s economy and enterprises and to express this importance properly.
5) To be able to use the computer as well as the profession requires and to be able to do work, accumulate knowledge and to use this knowledge relevantly and effectively.
6) To make them gain the ability to find practical solutions for the problems of daily commercial activities and to take correct decisions.
7) To be able to take responsibilities in banking and insurance sector and more generally in the finance sector and to be qualified to start his/her own business after the legal requirements have been met.
8) To have the competency to carry out the accountancy related to banking and insurance.
9) To have the competency to build effective customer relations and to have effective communication and persuasion skills.
10) To be able to determine the accumulated knowledge druring the education in line with the cause and effect relations and to be able to have the necessary professional qualifications to know where, when and how to use his/her knowledge.