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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BSO 445FUZZY LOGIC3 + 07th Semester 

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Student may; 1. Explain artifical intelligence equipment. 2. Explain the differences between the crisp and fuzzy set theory. 3. Explain the basic structure of fuzzy logic controllers. 4. Explain fuzzifying methods, fuzzy integration methods, fuzzy reasoning techniques and defuzzifier methods. 5. Design fuzzy logic controller.
Course Content Artificial intelligence concept, fuzzy logic, Artificial neural networks, expert systems, clusters and clustering properties, control system theory for articial intelligent systems.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1 Defines the concepts of fuzzy logic
2Knowns the classification and regression analizes
3 Smart programs, design (intelligent programs) makes the
4Describes various applications of fuzzy logic

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13
LO 0013 5          
LO 0023 5          
LO 00334555        
LO 0043 5          
Sub Total1242055        
Contribution3151100000000

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)10330
Mid-terms144
Final examination144
Report / Project2510
Total Work Load

ECTS Credit of the Course






90

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