GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NONLINEAR PROGRAMMING/EKON314
Course Title: NONLINEAR PROGRAMMING
Credits 3 ECTS 5
Semester 6 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Murat ATAN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/atan
 -- EMAIL(S) OF LECTURER(S)
  atan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Gives the ability to mathematical analysis.
Optimization problems of the solutions that we can interpret.
Multivariate constrained and unconstrained they know the methods of the solution of the functions.
They have ideas about the theory and practice of them
Nonlinear structures in real life, they have the ability to apply it to your 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  Defining the quadratic programming problem
2. Week  Kuhn-Tucker conditions
3. Week  Concavity - Convexity
4. Week  The problem of quadratic programming solution
5. Week  Artificial neural network of the structure, elements, and models
6. Week  Learning algorithm of artificial neural network based on their advantages and disadvantages
7. Week  Fields of application of artificial neural network
8. Week  Midterm
9. Week  Fundamental theorem of genetic programming algorithms and simple geometric algorithm
10. Week  Coding solutions
11. Week  The creation of the first population
12. Week  Calculation of the value of compliance
13. Week  The implementation of the process of proliferation and cross
14. Week  The implementation of the process of mutation The formation of the new generation and stopping the loop
15. Week  Genetic algorithms in parameter selection and the application of genetic algorithm in optimization of a function
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Kemal Sezen "Doğrusal Olmayan Programlama" Marmaray yayınları, Bursa 1988
 -- 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
14
2
28
 Practising Hours of Course Per Week
14
1
14
 Reading
14
1
14
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
10
20
 Final and Studying for Final
2
10
20
 Other
0
 TOTAL WORKLOAD: 
124
 TOTAL WORKLOAD / 25: 
4.96
 ECTS: 
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 aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.X
4Having appropriate behavior of econometrics in 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
5Having skills about foreign language and information system related to the fields in academic and working life.X
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.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, and to conduct independent researches.X
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.X
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
13Using some of the basic econometric and statistical software programs.X