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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISLE 432FUZZY LOGIC MODELS AND APPLICATIONS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Order a different approach under uncertainty Shows: Fuzzy Logic, developments of fuzzy logic systems, fuzzy set concept, fuzzy sets and probability , fuzzy inference , fuzzy controllers, neural fuzzy logic networks, fuzzy rules and membership functions
Course Content Fuzzy Logic, Classic set and fuzzy set, fuzzy sets and probability and application, fuzzy inference and application, Example of comprassion of fuzzy rules and membership functions
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learns the concept of fuzzy logic.
2Understands the ability of analytical thought.
3Enables the concepts of fuzzy sets.
4Learns fuzzy rules method.
5Types the fuzzy membership functions and equations.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
LO 00133333333
LO 00233333333
LO 00333333333
LO 00433333333
LO 00533333333
Sub Total1515151515151515
Contribution33333333

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)14570
Mid-terms177
Final examination11111
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