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Course Information
Course Unit Title :
Course Unit Code : 01MAK5192
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : 1
Semester : 1.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants :
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
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
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
Languages of Instruction : Turkish
Course Goals : 1. modelling of fuzzy problems
2. solving fuzzy problems
3. can be analysing fezzy results
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
WorkPlacement   Not Available
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)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 5 70  
Homeworks :
2 13 26  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 13 13  
Finals :
1 15 15  
Workload Hour (30) :
30  
Total Work Charge / Hour :
166  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 30
Quiz :
0 0
Homework :
2 10
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
40
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Introduction to the fuzzy
 
2 Fuzzy sets and normal sets
 
3 Principals of fuzzy
 
4 Main principals of the fuzzy controller
 
5 System variables and fuzzy parameters
 
6 Defining rule base fuzzy strategies
 
7 Fuzzy decision techniques
 
8 Translating fuzzy to non fuzzy techniques and designing fuzzy control rules
 
9 Design the Fuzzy control sets applications
 
10 Designing mathematical structure of the dynamic system
 
11 Designing mathematical structure of the dynamic system
 
12 Can be controlling the dynamic system by fuzzy control
 
13 Can be simulating the dynamic system by fuzzy control
 
14 Can be simulating the dynamic system by fuzzy control