CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Fuzzy Logic Controller Design EEM503 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-Explains the concept of fuzzy logic
    2-Lists the design steps of fuzzy logic.
    3-Designs a fuzzy logic controller
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14684
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)4012020
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 6012525
    0000
    Total Workload (hours)   171
    Total Workload (hours) / 30 (s)     5,7 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 History of fuzzy logic R1-Chapter-1
    2 Differences between blur and probability concepts R1-Chapter-2
    3 Mathematical foundations of uncertainty R1-Chapter-3
    4 Fuzzy sets R1-Chapter-4
    5 Fuzzy relationships R1-Chapter-5
    6 Fuzzyfication R1-Chapter-6
    7 Cartesian product R1-Chapter-7
    8 Integration operators R2-Chapter-1
    9 Two and very valuable logic concepts R2-Chapter-2
    10 Fuzzy rules R2-Chapter-3
    11 Fuzzy inference R2-Chapter-4
    12 Fuzzy Meaning R2-Chapter-5
    13 Basic elements of fuzzy logic controller R2-Chapter-6
    14 Fuzzy logic controller design R2-Chapter-7
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assist. Prof. Dr. Zafer Civelek
    Instructors -
    Assistants -
    Resources R1-Timothy J. Ross. (2004). Fuzzy Logic with Engineering Applications (2nd Edition), John Wiley & Sons, USA. R2-J. Harris. (2006). Fuzzy Logic Applications in Engineering Science (1st Edition),Springer, Germany.
    Supplementary Book -
    Goals To teach fuzzy logic operation systems and fuzzy logic controller design process.
    Content History of fuzzy logic controllers, Differences between blur and probability concepts, Mathematical foundations of uncertainty, Fuzzy sets, Fuzzy relationships, Fuzzy inference, Cartesian product, Integration operators, Two and very valuable logic concepts, Fuzzy rules, Fuzzy Meaning, Basic elements of fuzzy logic controller, Fuzzy logic controller design
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Acquires information by carrying out scientific research in the field of Electrical and Electronics Engineering, evaluates the findings and makes comments 2
    2 Complements the restricted or incomplete information and applies it, unifies the multidisciplinary information 3
    3 Designs and implements a system meeting the requirements in the field of Electrical and Electronics Engineering 3
    4 Makes an interpretation of a problem in the field of Electrical and Electronics Engineering, develops models for solutions and applies innovative methods in these solutions 2
    5 Has comprehensive knowledge on the contemporary applied method and techniques used in the field of Electrical and Electronics Engineering and their limitations 5
    6 Undertakes and implements analytic, simulation or experimental types of research and has the ability to solve the complex problems encountered there 4
    7 Can participate and assume responsibility in multidisciplinary task forces 5
    8 Observes the scientific, professional and ethical rules during data collection, its introduction and interpretation 4
    9 Be aware of recent advances and developments in the field of Electrical and Electronics Engineering, learns, analyses and applies them wherever needed 3
    10 Publishes his/her research findings verbally and in written forms in national and international arena 5
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