Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Vocational School Of Information Technologies
  • Department of Electronics and Automation
  • Program in Mechatronich
  • Course Structure Diagram with Credits
  • Fuzzy Logic
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MTR218 - Fuzzy Logic
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+1
ECTS 4.0
Course Instructor(s) ÖĞRETİM GÖREVLİSİ DOKTOR ASLI KAYA KARAKÜTÜK
Mode of Delivery The mode of delivery of this course is Face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List Buckley,J.,J. (2204) Fuzzy Statistics.Springer.
Assessment methods and criteria 1 midterm, 1 final exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction fuzzy logic.
Week - 2 Fuzzy Logic and Relationship with Statistic.
Week - 3 Fuzzy numbers.
Week - 4 Fuzzy Logic Set Theory.
Week - 5 Fuzzy Arithmetic.
Week - 6 Fuzzy Arithmetic.
Week - 7 Fuzzy functions.
Week - 8 Fuzzy Logic Membership Functions.
Week - 9 Fuzzy Logic Inference System.
Week - 10 Mamdani Fuzzy Model.
Week - 11 Sgeno ve Tskamoto Fuzzy Model.
Week - 12 Sgeno ve Tskamoto Fuzzy Model.
Week - 13 Adaptive Neuro Fuzzy İnference systems
Week - 14 Application Samples.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Competences
  • Productive
  • Questoning
  • Follow ethical and moral rules
  • Eleştirel düşünebilme
  • Information Management
  • Decision making
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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