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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Mechanical Engineering
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01MAK5192
 
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Professor Cengiz KAYACAN
Course Instructors
1-M. Cengiz KAYACAN
Course Assistants
 
Course Aims
The aim of this course is to ensure that the students will be introduced to a decision making about the problem which have fuzzy solution or not , making fuzzy model for the problem
Course Goals
1. modelling of fuzzy problems
2. solving fuzzy problems
3. can be analysing fezzy results
Learning Outcomes of The Course Unit
1) Artificial decision making
2) Decision making about differences fuzzy and non fuzzy problems
3) Main principals of the fuzzy control sets
4) Translating the problem to fuzzy and vice versa
Course Contents
This module is concerned with usage of fuzzy approach, main principals of fuzzy sets, functions, translating the problem to fuzzy and vice versa
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
30
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
5
70
Homework
2
10
Homeworks
2
13
26
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
13
13
Seminary
0
0
Finals
1
15
15
Field study
0
0
Workload Hour (30)
30
TOTAL
40
Total Work Charge / Hour
166
The ratio of the term to success
40
Course's ECTS Credit
6
The ratio of final to success
60
 
TOTAL
100
 
Recommended or Required Reading
Textbook
ppt, course note
Additional Resources
1. An Introduction to Fuzzy Sets, Witold Pedrycz, Fernando Gomide, Massachusetts Institute of Technology,, USA, 1998
2. Neural Fuzzy Systems, Chin-Teng Lin, C.S. George Lee, Prentice Hall,, New Jersey 1996
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
Course Content