GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DECISION ANALYSIS/5441307
Course Title: DECISION ANALYSIS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Dr. Ömer Faruk BAYKOC
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/~baykoc
 -- EMAIL(S) OF LECTURER(S)
  baykoc@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
An ability to apply knowledge of mathematics, science, and engineering
An ability to identify, formulate, and solve engineering problems
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introduction to decision analysis: Decision analysis process, Elements of decision analysis
2. Week  Structuring decision: Influence diagramm, Decsison tree
3. Week  Making choices:Decision making under uncertainty and Risk
4. Week  Making choices: Risk profiles, Dominant alternatives.
5. Week  Complex decision and simulation: Increasing uncertainty environments, Complex decisions.
6. Week  Value of information: Prior and posterior probabilities.
7. Week  Utility theory: Expected utility, Certain equivalent, Risk premium.
8. Week  Midterm Exam
9. Week  Utility theory. Assesment of utility function, Risk tolerance and exponential utility functions.
10. Week  Sensitivity analysis: Two-way sensitivity analysis, Sensitivity to probabilities, Strategy regions.
11. Week  Multiple criteria decision making: Goal programming, Analytic hierarchy process.
12. Week  Game theory: Two-person zero-sum games.
13. Week  Term project presentations and interactive discussions
14. Week  Term project presentations and interactive discussions
15. Week  Term project presentations and interactive discussions
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  1. Clemen, R.T., Making Hard Decisions, PWS-Kent, 2 nd edition, 1996. 2. Holloway, C.A., Decision Making Under Uncertainty, Prentice Hall, 1979.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
25
 Assignment
0
0
 Exercises
0
0
 Projects
1
25
 Practice
0
0
 Quiz
1
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
15
3
45
 Practising Hours of Course Per Week
0
 Reading
8
2
16
 Searching in Internet and Library
10
3
30
 Designing and Applying Materials
5
5
25
 Preparing Reports
5
4
20
 Preparing Presentation
4
6
24
 Presentation
1
1
1
 Mid-Term and Studying for Mid-Term
8
2
16
 Final and Studying for Final
9
1
9
 Other
0
 TOTAL WORKLOAD: 
186
 TOTAL WORKLOAD / 25: 
7.44
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Ability of development of necessary methods for identifing, modelling and solving the advanced problems in the field.X
2Ability of considering and teaching the scientific and ethical values in the stage of collection, analysis and interpretation of the data related with the field.X
3Ability of accessing to information related with scientific and technological developments and continuous renewal.X
4Ability of transmitting of knowledge, sufficiency and experiences in the field to interdisciplinary practice.X
5The ability of integrating the knowledge in different areas and solving complex problems.X
6Ability of determination the research topics that contributes the literature according to the reqirements of technology and industry.X
7Ability of making a scientific innovation/developing a new scientific method/implementing an objective and creating a roadmap for a scientific study.
8Ability of written/oral presentation of results of scientific and technological studies in Turkish and foreign language.X
9Effective working and leading ability in inter/multi diciplinary teams.
10Ability of doing original studies/individual researchs that contribute to literature.X
11Ability of discussing the applicability and implementation of researh findings to industry.X
12Ability of submitting national/international projects and ability of working in those projects.X
13Awareness about legal rights and legal consequences in execution of researchs and dissemination of their findings.