GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
OPERATIONS RESEARCH III/IE306
Course Title: OPERATIONS RESEARCH III
Credits 3 ECTS 4
Course Semester 6 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
An ability to apply knowledge of mathematics, science, and engineering.
An ability to design a system, component, or process to meet desired requirements.
An ability to identify, formulate, and solve engineering problems.
Ability to use techniques, skills and modern tools necessary for engineering applications.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  GOAL PROGRAMMING: Definition, Assumption, Components GOAL PROGRAMMING TYPES: Weighted Goal Programming, Priority Goal Programming GOAL PROGRAMMING MODEL: Modeling, Examples
2. Week  GOAL PROGRAMMING SOLUTION METHOD: Graphical Solution, Goal Programming Simplex Algorithm, Examples
3. Week  GAME THEORY: Game concept, scope and application areas TYPES OF GAME STATUS: Two-person games, n-person games
4. Week  TWO-PERSONAL GAMES: Concepts and features, Zero Sum-Fixed sum-Non Fixed Sum Games
5. Week  SOLUTIONS OF TWO-PERSONAL ZERO TOTAL GAMES: Balance point, stable games, superior strategies, unstable games, graphic solution, modeling with linear programming
6. Week  DETERMINISTIC DYNAMIC PROGRAMMING: Shortest path problem, Resource allocation problem
7. Week  DETERMINISTIC DYNAMIC PROGRAMMING: Backpack problem, Production-purchase problem
8. Week  MIDTERM
9. Week  INTRODUCTION TO STOCASTIC PROCESSES: Markov chains, N-STEP TRANSITION POSSIBILITIES: Matrix method, unconditional probability
10. Week  CLASSIFICATION OF CONDITIONS, BALANCE STATUS: Equilibrium state probabilities, Average initial transition times, ABSORBİNG CHAINS
11. Week  TAIL SYSTEMS: Causes of queuing systems, components of queuing model, modeling of arrival and service processes, birth and death models
12. Week  M/M/1 TAIL SYSTEM
13. Week  M/M/S TAIL SYSTEM
14. Week  FINITE WELDED MODELS EXTERNAL TAILS IN SERIAL AND OPEN TAIL NETWORKS PRIORITY TAIL MODELS
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
50
 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
0
 Searching in Internet and Library
0
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
2
5
10
 Final Exam and Preperation for Final Exam
6
8
48
 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.X
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 questionsX
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/herself
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)
   (Prof. Cevriye GENCER , Assoc.Prof Mehmet KABAK , Assoc.Prof Hakan ÇERÇİOĞLU)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/ctemel , https://websitem.gazi.edu.tr/site/mkabak , https://websitem.gazi.edu.tr/site/cercioglu)
 -- EMAIL(S) OF LECTURER(S)
   (ctemel@gazi.edu.tr , mkabak@gazi.edu.tr , cercioglu@gazi.edu.tr)