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
  • Faculty of Science
  • Department of Statistics (30% English)
  • Course Structure Diagram with Credits
  • Fuzzy Logic
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information
Code - Course Title İST412 - Fuzzy Logic
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) DOÇENT DOKTOR ÖZER ÖZDEMİR
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.
Required or Recommended Resources Şen, Z. (2001) Bulanık (fuzzy) Mantık ve Modelleme İlkeleri.İstanbul : Bilge Kültür Sanat
Recommended Reading List Buckley,J.,J. (2204) Fuzzy Statistics.Springer.
Assessment methods and criteria 1 midterm, classwork1 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 (%)
2.Midterm Exam 1 35
Homework 1 15
Final Exam 1 50
Toplam (%) 100
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