PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ISLE 432	FUZZY LOGIC MODELS AND APPLICATIONS	3 + 0	6th Semester	5

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

1	Learns the concept of fuzzy logic.
2	Understands analytical thinking ability.
3	Recognizes the concepts of fuzzy sets.
4	Learns fuzzy rules method.
5	Writes the fuzzy membership functions and equations.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	5	5	4	5	3	5	5	4	5	3	5
LO 002	5	3	5	3	5	4	5	5	4	3	5
LO 003	5	3	4	5	5	5	5	5	5	5	5
LO 004	4	4	3	5	5	5	3	5	3	5	4
LO 005	5	4	3	4	3	3	4	5	5	3	5
Sub Total	24	19	19	22	21	22	22	24	22	19	24
Contribution	5	4	4	4	4	4	4	5	4	4	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Mid-terms	1	7	7
Final examination	1	11	11
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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