PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ENM 562	FUZZY APPLICATIONS IN DECISION MAKING	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The objective of this course is to give information about fuzzy logic approach and teach the methods of decision making in fuzzy environment.
Course Content	Introduction To Fuzzy Logic, The Characteristics of Fuzzy Sets, Calculations with Fuzzy Numbers, Fuzzification and Defuzzification, Decision Making Methods with Fuzzy Numbers, Use Of Fuzzy Logic In Industry.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Has the ability of solving management problems with fuzzy logic.
2	Can do the calculations with fuzzy sets
3	Applies fuzzy sets for solving decision making problems.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10
LO 001	2	4	2	3	3	1	2	1	1	2
LO 002	4	3	2	2	2	1	1	1	1	1
LO 003	2	5	3	2	3	1	1	1	1	1
Sub Total	8	12	7	7	8	3	4	3	3	4
Contribution	3	4	2	2	3	1	1	1	1	1

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Assignments	4	5	20
Mid-terms	1	60	60
Final examination	1	73	73
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ENM 562	FUZZY APPLICATIONS IN DECISION MAKING	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. ALİYE AYÇA SUPÇİLLER	asupciller@pau.edu.tr		İİBF C0106 MUH A0425	%

Goals		The objective of this course is to give information about fuzzy logic approach and teach the methods of decision making in fuzzy environment.
Content		Introduction To Fuzzy Logic, The Characteristics of Fuzzy Sets, Calculations with Fuzzy Numbers, Fuzzification and Defuzzification, Decision Making Methods with Fuzzy Numbers, Use Of Fuzzy Logic In Industry.

Topics

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

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

Prospective Student