GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
FUZZY PROGRAMMİNG/5061303
Course Title: FUZZY PROGRAMMİNG
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. İhsan ALP
 -- WEB SITE(S) OF LECTURER(S)
  websitem.gazi.edu.tr/site/ihsanalp
 -- EMAIL(S) OF LECTURER(S)
  ihsanalp@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learning Classical and Fuzzy Logic
Thinking with Fuzzy Logic
Fuzzy Arithmetic
Types of Membership Function
Creating Membership Function
Fuzzy Verbal Variables
Fuzzy on Part of Linear Programming Model
Learning to Solution of Fuzzy Linear Programming
Interactive Fuzzy Linear Programming Model
Fuzzy Logic to Real World Problem Application
 -- 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 companent for this course
 --COURSE CONTENT
1. Week  Overview of Logic.
2. Week  Simple fuzzy set theory.
3. Week  Verbal Variables.
4. Week  Membership Functions.
5. Week  Fuzzy decision.
6. Week  Operations on fuzzy sets.
7. Week  Midterm.
8. Week  BMP algorithms 1.
9. Week  BMP algorithms 2.
10. Week  BMP algorithms 3.
11. Week  Interactive algorithms BMP.
12. Week  Project work 1.
13. Week  Project work 1 continue.
14. Week  Proje çalışması 2.
15. Week  Project work 2 continue..
16. Week  Final exam.
 -- RECOMMENDED OR REQUIRED READING
  1- Lai,Y.J. and C.L. Hwang, Fuzzy Mathematical Programming, Springer Verlag, Berlin (1992) 2- C.R. Bector, S.Chandra Fuzzy Mathematical Programming
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Questions&Answer, Demonstration, Drill-Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
1
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
8
2
16
 Searching in Internet and Library
10
3
30
 Designing and Applying Materials
5
2
10
 Preparing Reports
5
5
25
 Preparing Presentation
0
 Presentation
6
5
30
 Mid-Term and Studying for Mid-Term
2
5
10
 Final and Studying for Final
4
5
20
 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
11. Based on the capabilities of undergraduate level, the students enrolled to the program can develop and deepen their knowledge and skill at the level of expertise on the same field of the undergradute study or a different field.X
22. The students use their theoretical and practical knowledge at the level of expertise in the area of statistics.X
33. The students should evaluate their acquired knowledge and skills in a critical perspective and the critical point of view guides their learning process.X
44. Theoretical and practical knowledge gained in graduate level in the field of Statistics should be applied and transfer to the current problems.X
55. By performing the process from the identification of the scientific research problem to reporting and the process should be transferred in oral, written and visual ways.X
66. The students should use computer software and information technologies on the level required by the field of Statistics.X
77. The students should have the ability to use Statistics in interdisciplinary studies.X
88. The students should have enough foreign language level to pursue statistical literature.X
99. At the required level of field of statistics, he/she should use statistical software and information technology efficiently in a such a way that helps solving problems in his/her research.X
1010. In the process of applying knowledge in a professional sense, social, scientific, and ethical values should be regarded.X