GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DECISION ANALYSIS/IE450
Course Title: DECISION ANALYSIS
Credits 3 ECTS 4
Course Semester 8 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Knows the structure and elements of the decision problem.
Analyzes and models the decision problem.
Analyze various decision environments and problems.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  INTRODUCTION TO DECISION ANALYSIS: Decision analysis process, Elements of decision problem.
2. Week  STRUCTURING DECISION: Influence diagram, Decision tree.
3. Week  MAKING CHOICES: Decision making under uncertainty, Decision making under risk.
4. Week  MAKING CHOICES: Decision making under uncertainty, Decision making under risk.
5. Week  MAKING CHOICES: Risk profiles, Dominant alternatives.
6. Week  VALUE OF lNFORMATION: Prior and posterior probabilities. The value of perfect information.
7. Week  EVALUATION OF INFORMATION: The value of the experiment
8. Week  UTlLITY THEORY: Expected utility, Certain equivalent, Risk premium.
9. Week  Midterm Exam
10. Week  UTILITY THEORY: Assessment of utility function, Risk tolerance and exponential utility functions.
11. Week  SENSITIVITY ANALYSIS: Two-way sensitivity analysis.
12. Week  SENSITIVITY ANALYSIS: Sensitivity to possibilities, Strategy regions.
13. Week  MULTI OBJECTIVE DECISION MAKING: Goal programming.
14. Week  MULTIPLE CRITERIA DECISION MAKING: Analytic hierarchy process method
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
100
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
3
5
15
 Searching in Internet and Library
2
4
8
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
3
5
15
 Final Exam and Preperation for Final Exam
4
5
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purposeX
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose...
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectivelyX
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions
6Ability to work efficiently in intradisciplinary and multi-disciplinary teams; ability to work individually
7Ability to communicate effectively in Turkish, both orally and in writing knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herselfX
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions .
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Ramazan ŞAHİN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/rsahin)
 -- EMAIL(S) OF LECTURER(S)
   (rsahin@gazi.edu.tr)