1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ENGINEERING
  3. COMPUTER ENGINEERING DEPARTMENT
  4. 253 Computer Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 421FUZZY LOGIC SYSTEMS3 + 07th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective This course evaluates Fuzzy modeling from the point of view system and control engineering. In nonlinear control design, appropriate model structures are selected via fuzzy models.
Course Content Introduction to Fuzzy sets: Fuzzy numbers, Fuzzy relationship. Fuzzy controllers: basic blocks, fuzzification, inference mechanisms, defuzzyfication, rule based inference, input/output scaling coefficients. Fuzzy proportional-integral-derivative control. Fuzzy sliding mode controller. Fuzzy introducing and modeling in control systems: Mamdani and Tagaki-Sugeno types for modeling. Applications of control systems.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.

COURSE LEARNING OUTCOMES
1Understanding of Fuzzy Logic concept
2Understanding of traditional and Fuzzy sets
3Understanding of Fuzzy Logic operations
4Understanding of Fuzzy system design
5Understanding of Fuzzy controller
6Understanding of various Fuzzy models

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 00153 551  3   
LO 00253 551  3   
LO 00353 551  3   
LO 00453 551  3   
LO 00553 551  3   
LO 00653 551  3   
Sub Total3018 30306  18   
Contribution530551003000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms11515
Final examination12121
Report / Project11010
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2024-2025 Spring1EMRE ÇOMAK


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester Mode of Delivery
CENG 421 FUZZY LOGIC SYSTEMS 3 + 0 1 Turkish 2024-2025 Spring Face to Face
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. EMRE ÇOMAK ecomak@pau.edu.tr MUH A0226 %
Goals This course evaluates Fuzzy modeling from the point of view system and control engineering. In nonlinear control design, appropriate model structures are selected via fuzzy models.
Content Introduction to Fuzzy sets: Fuzzy numbers, Fuzzy relationship. Fuzzy controllers: basic blocks, fuzzification, inference mechanisms, defuzzyfication, rule based inference, input/output scaling coefficients. Fuzzy proportional-integral-derivative control. Fuzzy sliding mode controller. Fuzzy introducing and modeling in control systems: Mamdani and Tagaki-Sugeno types for modeling. Applications of control systems.
Topics
WeeksTopics
1 Introduction to Fuzzy Sets
2 Fuzzy numbers
3 Fuzzy relationship
4 Basic blocks
5 Fuzzification
6 Inference mechanisms
7 Defuzzyfication
8 Rule based inference
9 Input output scaling coefficients
10 Fuzzy proportional integral derivative control
11 Fuzzy sliding mode controller
12 Fuzzy introducing and modelling in control systems
13 Mamdani type for modelling
14 Tagaki-Sugeno type for modelling
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes