GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NONLINEAR PROGRAMMING ALGORITHM/1790003
Course Title: NONLINEAR PROGRAMMING ALGORITHM
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Şenol ALTAN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/saltan
 -- EMAIL(S) OF LECTURER(S)
   saltan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn the nonlinear constrained optimization and artificial intelligence techniques
Learn the applications of intelligent optimization techniques in complex macro and micro economics 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  Nonlinear constrained optimization
2. Week  Application
3. Week  Quadratic programming
4. Week  Application
5. Week  Genetic algorithms
6. Week  Application
7. Week  Taboo search
8. Week  Application
9. Week  Ant colony
10. Week  Application
11. Week  Artificial neural networks model
12. Week  Application
13. Week  Project Presentations
14. Week  Project Presentations
15. Week  Project Presentations
16. Week  Project Presentations
 -- RECOMMENDED OR REQUIRED READING
  1. How to Solve It: Modern Heuristics 2nd ed. Revised and Extended, Michalewicz Zbigniew, Fogel David B., Springer-Verlag, 2004. 2. Intelligent Optimization Techniques, Pham, D.T., Karaboga, D., Springer Verlag, 1999.
 -- 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
20
 Assignment
2
10
 Exercises
0
0
 Projects
1
10
 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
8
3
24
 Practising Hours of Course Per Week
8
3
24
 Reading
12
3
36
 Searching in Internet and Library
7
3
21
 Designing and Applying Materials
8
3
24
 Preparing Reports
3
2
6
 Preparing Presentation
3
1
3
 Presentation
3
1
3
 Mid-Term and Studying for Mid-Term
7
3
21
 Final and Studying for Final
7
3
21
 Other
0
 TOTAL WORKLOAD: 
183
 TOTAL WORKLOAD / 25: 
7.32
 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 operational research.X
2Having skills for comprehension, application and evaluation about terms and basic theory of operational research.X
3Having appropriate behavior of operational researchin 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
4Having qualities for professional competence in order to work in career fields such as planning assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizationsX
5Having knowledge about other disciplines such as managements, finance, industrial engineering, mathematics and economics related to econometrics.X
6Having skills about selecting, using and evaluating appropriate mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.X
9Having qualities foranalytical thinking, prospecting and bringing scientific solutions to problems as a researcher.X
10Using some of the basic operational researchsoftware programs and having skills about information system related to the fields in working life.X