Energy Systems Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

ENG302

Course Name:

Fuzzy Logic and Its Applications

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi PELİN ALCAN GEZGİNCİ

Course Lecturer(s):

Dr.Öğr.Üyesi PELİN ALCAN GEZGİNCİ

Course Assistants:

Course Objective and Content

Course Objectives:

The main aim of this course is to teach the definition, basic concepts and mathematical applications of fuzzy logic.

Course Content:

This course includes:

1- multi-valued logic, fuzzy logic, comparison of classical logic and fuzzy logic,

2- The concept of membership, fuzzy sets, membership function types,

3- Fuzzy propositions, fuzzy models,

4- Fuzzy values of models, fuzzy quantities, fuzzy conditional and limited propositions, inferences,

5- Fuzzy level clusters

6- Fuzzy set operations, fuzzy numbers

7- Fuzzy number operations,

8- Fuzzy set graphs,

9- fuzzy equations, rule-based inference,

10- turbidity, inference mechanisms,

11- Rinse, Mammadani and Sugeno fuzzy system models,

12- Fuzzy relations, fuzzy functions and their basic properties,

13- Applications

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) To give the definition, basic concepts and applications of fuzzy logic.
2) To teach students to think differently against various engineering problems with fuzzy logic concepts.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Multi-valued logic, fuzzy logic, comparison of classical logic and fuzzy logic,	yok
2)	The concept of membership, fuzzy sets, membership function types.	yok
3)	Fuzzy propositions and fuzzy models.	yok
4)	Fuzzy values of models, fuzzy quantities, fuzzy conditional and limited propositions, inferences.	yok
5)	Fuzzy set operations and fuzzy numbers.	yok
6)	Fuzzy set operations and fuzzy numbers.	yok
7)	Fuzzy number operations.	yok
8)	Fuzzy set graphs.	yok
9)	Midterm	yok
10)	Fuzzification and inference mechanisms.	yok
11)	Defuzzification and Mamdani Sugeno fuzzy system models.	yok
12)	Fuzzy relations, fuzzy functions and their basic properties.	yok
13)	Applications.	yok
14)	Applications.	yok
15)	Final Exam.	yok

Sources

Course Notes / Textbooks:	1- Introduction to fuzzy logic, Franck Dernoncourt, MIT, January 2013 2- Fuzzy logic with engineering applications, third edition, Timothy J. Ross, 2010 John Wiley & Sons, Ltd. ISBN: 978-0-470-74376-8
References:	1- Introduction to fuzzy logic, Franck Dernoncourt, MIT, January 2013 2- Fuzzy logic with engineering applications, third edition, Timothy J. Ross, 2010 John Wiley & Sons, Ltd. ISBN: 978-0-470-74376-8

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2
Program Outcomes
1) Closed Department

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Closed Department

Learning Activity and Teaching Methods

Expression
Lesson
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 20
Homework Assignments	5	% 10
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Application	6	6	36
Study Hours Out of Class	5	10	50
Homework Assignments	6	6	36
Midterms	1	2	2
Final	1	2	2
Total Workload			168