GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
OPTIMIZATION TECHNIQUES II/İST- 324
Course Title: OPTIMIZATION TECHNIQUES II
Credits 3 ECTS 5
Semester 6 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Dr. H. Hasan ÖRKCÜ
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/hhorkcu
 -- EMAIL(S) OF LECTURER(S)
  hhorkcu@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Ability of modeling non-linear optimization problems
Learning how to consider the non linear programming models as linear models
Learning the application of unconstrained geometric programming technique
Learning the application of constrained geometric programming technique
Learning the application of separable programming technique
Learning the application of fractional programming technique



 -- 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
  Optimization Techniques I
 --COURSE CONTENT
1. Week  Fundamental concepts of Optimization
2. Week  Nonlinear Modeling Examples
3. Week  General Non-Linear Equations Systems and their Solutions
4. Week  Unconstrained Geometric Programming
5. Week  Constrained geometric Programming
6. Week  Separable Programming
7. Week  Separable Programming
8. Week  Midterm exam
9. Week  Fractional Programming
10. Week  Fractional Programming
11. Week  Stochastic Programming
12. Week  Stochastic Programming
13. Week  General Heuristic Algorithms
14. Week  General Heuristic Algorithms
15. Week  Topics Related to Current Software Support (WinQSB, Matlab, ...).
16. Week  Final exam
 -- RECOMMENDED OR REQUIRED READING
  Bal H., 1985, Optimizasyon Teknikleri, G. Ü. Yayını. Rao S. S. ,1991, Optimization: TheoryApplication, second edition, Willey. Gottfried B. S Wais
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer
 -- WORK PLACEMENT(S)
  Uygulama
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
2
10
 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
14
3
42
 Practising Hours of Course Per Week
0
 Reading
10
2
20
 Searching in Internet and Library
10
2
20
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
5
10
 Final and Studying for Final
3
10
30
 Other
1
3
3
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X