Faculty of Engineering and Natural Sciences · Computer Engineering · Undergraduate
ECTS: 5 T+P+L: 2+0+1 Departmental Elective
Coordinator: Dr. Öğr. Üyesi Hasibe Büşra AYTEKİN
Course Objective
The presentation of fuzzy logic definitions and concepts, along with the description of their applications.
Course Content
Gains knowledge of Classical Logic, Symbolic Logic, Multi-Valued Logic, fuzzy sets, membership functions, fuzzy propositions, fuzzy models, fuzzy values, fuzzy quantifiers, conditional and constrained fuzzy propositions, inferences of conditional and constrained fuzzy propositions, fuzzy set operations, extended fuzzy sets, fuzzy relational equations, rule-base inference, fuzzification, inference mechanisms, defuzzification, Mamdani and Sugeno fuzzy system models, fuzzy relations, fuzzy functions, and computer applications.
Core Area Distribution
(52) Engineering and Engineering Trades%100
Teaching Methods
ExpressionQuestion-AnswerDiscussionCase StudyProblem Solving
Assessment & Evaluation
Project / DesignTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 0 | 0 | 0 |
| Out of Class Study Period | 0 | 0 | 0 |
| Midterm | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 0 | 0 | 0 |
Course Schedule
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