COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISLE 432FUZZY LOGIC MODELS AND APPLICATIONS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor'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, Classic set and fuzzy set, fuzzy sets and probability and application, fuzzy inference and application, Example of comprassion of fuzzy rules and membership functions
Prerequisites No prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1Learns the concept of fuzzy logic.
2Understands the ability of analytical thought.
3Enables the concepts of fuzzy sets.
4Learns fuzzy rules method.
5Types the fuzzy membership functions and equations.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 01555555555555
LO 02  555555555 
LO 03 5555  555  
LO 04555  5555555
LO 05555555555555
Sub Total152025202020202525252015
Contribution345444455543

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2017-2018 Spring1İRFAN ERTUĞRUL

Course Details
Course Code:  ISLE 432 Course Title:  FUZZY LOGIC MODELS AND APPLICATIONS
L+P Hour : 3 + 0   Course Code : 1   Language Of Instruction: Turkish Course Semester :  2017-2018 Spring
Course Coordinator :  E-Mail:  Phone Number :  296 2674, 296 2674,
Course Location İİBF A0010,
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, Classic set and fuzzy set, fuzzy sets and probability and application, fuzzy inference and application, Example of comprassion of fuzzy rules and membership functions
Attendance : %77
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
temel matematik,irfan ertuğrul,ekin yayınlarıTürkçe
Baykal Nazife, Bulanık Mantık İlkeleri,Bıçaklar yayınevi, AnkaraTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes