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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 05PO 06
LO 001445355
LO 002535445
LO 003344535
LO 004553553
LO 005534355
Sub Total221921202223
Contribution444445

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments21020
Mid-terms11212
Final examination12020
Presentation / Seminar Preparation21020
Total Work Load

ECTS Credit of the Course






156

6
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2011-2012 Fall1İRFAN ERTUĞRUL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISY 509 FUZZY LOGIC APPLICATIONS 3 + 0 1 Turkish 2011-2012 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. İRFAN ERTUĞRUL iertugrul@pau.edu.tr Course location is not specified. %
Goals 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.
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
Topics
WeeksTopics
1 Fuzzy Logic)
2 Developments of fuzzy logic systems
3 Classic set and fuzzy set
4 Fuzzy sets and probability
5 Fuzzy sets and probability and application)
6 Fuzzy inference)
7 Fuzzy inference and application
8 Midterm
9 Membership functions
10 Comprassion of fuzzy rules and membership functions
11 Comprassion of fuzzy rules and membership functions
12 Example of (Comprassion of fuzzy rules and membership functions )
13 Example of (Comprassion of fuzzy rules and membership functions )
14 Example of (Comprassion of fuzzy rules and membership functions )
Materials
Materials are not specified.
Resources
ResourcesResources Language
Baykal Nazife, Bulanık Mantık İlkeleri,Bıçaklar yayınevi, AnkaraTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Midterm Exam30Midterm Exam
Project20Project
Final Exam50Final Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes