1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. ECONOMICS DEPARTMENT
  4. 2204 ECONOMICS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISY 509FUZZY LOGIC APPLICATIONS3 + 01st Semester6

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Order a different approach under uncertainty Shows: Fuzzy Logic, developments of fuzzy logic systems, fuzzy set concept, fuzzy sets and probability , fuzzy inference , fuzzy controllers, neural fuzzy logic networks, fuzzy rules and membership functions.
Course Content Fuzzy Logic, developments of fuzzy logic systems, fuzzy set concept, fuzzy sets and probability, fuzzy inference, fuzzy controllers, neural fuzzy logic networks, fuzzy rules and membership functions
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learns the concept of fuzzy logic
2Analaytic understands the ability of thought
3Fuzzy sets, enables the concepts
4Fuzzy rules learns method
5You can type the fuzzy membership functions and equations

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05
LO 00144444
LO 00255555
LO 00354545
LO 00454545
LO 00554545
Sub Total2421242124
Contribution54545

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13565
Hours for off-the-classroom study (Pre-study, practice)13226
Mid-terms13452
Final examination11313
Total Work Load

ECTS Credit of the Course





156

6
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes