GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
OPTIMIZATION THEORY/7700055
Course Title: OPTIMIZATION THEORY
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Ayşe Ediz
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/akazan
 -- EMAIL(S) OF LECTURER(S)
  akazan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Identifying ways to teach basic concepts and approaches.İnvestigate real life problems and solve their mathematical model.
optimization problems handling modeling and solving ability.
 -- 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   Classical Optimization Methods Single-Variable Optimization Multivariate Optimization Constrained Optimization
2. Week   The definition of linear Programming, and is based on Assumptions Linear Programming Is Applied Fields
3. Week   Establishment Of Mathematical Model Of Linear Programming The Creation Of The Objective Function Creating Restrictive Functions The Creation Of A P
4. Week   Linear Programming Model Solution Techniques Graphical Solution Technique Graphical Solution Features Graphical Solution Maximizer Status
5. Week   Simplex Method Simplex Method definition and variables used, Simplex Table Simplex Method Application Types
6. Week   Distortion (Degeneration) Status Unlimited Solution Status
7. Week   Choice Of Optimal Solution Condition The Status Of The Appropriate Solution Was Not Found
8. Week   Examples Of Linear Programming Problems
9. Week   Linear Programming, Sensitivity Analyses Objective Function In Terms Of The Analysis Right Side In Terms Of Constant Analysis
10. Week   Integer Programming The definition, types, and is based on Assumptions Involving integer programming
11. Week   Integer Programming Fields Applied To Programming Establishment Of Mathematical Model Involving Integer Programming
12. Week   Capital Budgeting Models Fixed Load Problems Workbench Placement Problems
13. Week   Bound – Border Method Gomary Cutting Plane Method
14. Week   Integer Programming-Related Examples
15. Week   Target (Goal) Programming The importance of Involving the target definition, and Assumptions Target Programming Applied Fields Target Programming
16. Week   The Structure Of The Mathematical Programming Target Relations between the target Programming with other Methods
 -- RECOMMENDED OR REQUIRED READING
  Mustafa AYTAÇ ve DİĞERLERİ., Sosyal Bilimlerde Matematik, Ezgi kitapevi yayını, Bursa Ş. Alp BARAY, Şakir ESNAF, “Yöneylem Araştırması”, Literatür Yayıncılık, Eylül 2000,İstanbul. Hamdy, A. TAHA ,“Operations Research - An Introduction”, Mac Millan Pub. Fifth Edition , 1992, New York.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  no
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
16
6
96
 Practising Hours of Course Per Week
0
 Reading
0
 Searching in Internet and Library
18
5
90
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
0
 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
1Having the professional expertise and skills on theoretical and practical aspect of econometrics.X
2Having appropriate behavior of econometricsin the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
3Having skills about selecting, using and evaluating of appropriate econometrics and statistical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
4Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
5Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.X
6Using some of the advanced level econometrics and statistical software programs.X
7Having skills about information system related to the fields in working life.X
8Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
9Having skills to comprehension, application and evaluation about terms and basic theory of operational research.X
10Having the professional expertise and skills on theoretical and practical aspects of operational research.X