INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
Information Technology PhD
2015-2016

SYLLABUS
Code Name Level Year Semester
CEN 691 Fuzzy Systems and Control Graduate 1 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
6 154 English

Instructor Assistant Coordinator
Günay Karli, Assoc. Prof. Dr. Günay Karli, Assoc. Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
To comprehend what is meant by fuzziness.
To develop an understanding of fuzzy theory and learn how to use the fuzzy systems approach to solving engineering problems in control, signal processing and communications

COURSE CONTENT
Week
Topic
  1. Intro. to Fuzzy Logic
  2. Fuzzy Sets and Operations
  3. Fuzzy Relations
  4. Fuzzy Logic
  5. Membership Functions
  6. Fuzzification
  7. Defuzzification
  8. Fuzzy Rule-base System
  9. Midterm week
  10. Fuzzy Inference
  11. Presentations
  12. Presentations
  13. Applications
  14. Applications

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Excersises
    • Assignments
    Description (%)
    Method Quantity Percentage (%)
    Presentation130
    Term Paper130
    Final Exam140
    Total: 100
    Learning outcomes
    • Evaluate basic theories, processes and outcomes of computing;
    • Apply bioinformatics and biological techniques and relevant tools to the specification, analysis, design, implementation and testing of a simple computing product. For example identification of genes involved in specific biological process in the cell.
    • Knowledge and critical understanding of the well-established principles of bioinformatics, and of the way in which those principles have developed as technology has progressed
    • Knowledge of all of the main development methods relevant to the field of computing, and ability to evaluate critically the appropriateness of different approaches to solving problems in the field of genetics and genetic engineering.
    TEXTBOOK(S)
    • A Course in Fuzzy Systems and Control, Li-Xin Wang, 1997, Prentice Hall.

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)14114
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
    Midterm Examination (1 week)122
    Final Examination(1 week)122
    Preparation for Midterm Examination11515
    Preparation for Final Examination12525
    Assignment / Homework/ Project13232
    Seminar / Presentation23264
    Total Workload: 154
    ECTS Credit (Total workload/25): 6