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.
Mode of Delivery Face to face

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 0153 551  3   
LO 0253 551  3   
LO 0353 551  3   
LO 0453 551  3   
LO 0553 551  3   
LO 0653 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
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes
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