1	Course Title:	FUZZY LOGIC
2	Course Code:	EEM6102
3	Type of Course:	Optional
4	Level of Course:	Third Cycle
5	Year of Study:	1
6	Semester:	2
7	ECTS Credits Allocated:	6
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. FAHRİ VATANSEVER
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	Adres: Elektrik-Elektronik Mühendisliği bölümü, No:311 Tel: (224) 294 09 05 Web: http://home.uludag.edu.tr/~fahriv E-posta:fahriv@uludag.edu.tr
18	Website:
19	Objective of the Course:	To gain ability modeling-analyzing-designing fuzzy systems with understanding fuzzy set and its theory and designing fuzzy controller for applications
20	Contribution of the Course to Professional Development	Effective use of fuzzy logic in the professional area

21

Learning Outcomes:

1 To gain ability to analyze fuzzy systems; 2 To gain ability to design fuzzy systems; 3 To gain ability to implement fuzzy systems; 4 To gain ability to analyze-synthesis fuzzy systems with software;

22	Course Content:

Week	Theoretical	Practical
1	Basics of fuzzy logic and application areas
2	Classic and fuzzy logic sets
3	Operations in fuzzy sets
4	Classical and fuzzy logic theories
5	Classical and fuzzy relations
6	Membership functions, fuzzification, defuzzification
7	Logic and fuzzy systems
8	General review
9	Fuzzy system modeling and analysis
10	Fuzzy control systems analysis and design
11	Fuzzy control systems analysis and design
12	Fuzzy PID controller design
13	Adaptive fuzzy control systems analysis and design
14	Fuzzy control applications

23	Textbooks, References and/or Other Materials:	1. Ross, T.J., Fuzzy Logic with Engineering Applications, John Wiley & Sons, 2004. 2. Wang, L.X., A Course in Fuzzy Systems and Control, Prentice Hall, 1997. 3. Kasabov, N.K., Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering, MIT Press, 1998.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Midterm and final exams
Information

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	6	84
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	24	24
Others	0	0	0
Final Exams	1	30	30
Total WorkLoad			180
Total workload/ 30 hr			6
ECTS Credit of the Course			6

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 LO1 5 5 0 0 0 0 LO2 5 5 5 5 0 0 LO3 5 5 5 5 0 0 LO4 5 0 5 5 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High