Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / MAT561 - MATHEMATICS

Code: MAT561 Course Title: FUZZY LOGIC I Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Fall Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department MATHEMATICS
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ZARİFE ZARARSIZ (zarifezararsiz@nevsehir.edu.tr)
Name of Lecturer(s) ZARİFE ZARARSIZ,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
To be able to move from the classical clusters to the application areas of fuzzy set theory by passing through fuzzy clusters.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 PO-1 Fundamental theorems of about some sub-theories of Analysis, Applied Mathematics, Geometry, and Algebra can apply to new problems.
PO-2 Ability to assimilate mathematic related concepts and associate these concepts with each other.
PO-3 Mathematics, natural sciences and their branches in these areas and related issues has sufficient infrastructure solutions for the problems of theoretical and practical uses of mathematics.
PO-4 Ability to learn scientific, mathematical perception and the ability to use that information to related areas.
PO-5 Ability to gain qualifications based on basic mathematical skills, problem solving, reasoning, association and generalization.
PO-6 Following the developments in science and technology and gain self-renewing ability.
PO-7 Be able to access to information, make research on resources for this purpose and be able to use databases and other information resources.
PO-8 To perform the ethical responsibilities in working life.
PO-9 Ability to learn information about history of science and scientific knowledge production.
Examination
LO-2 PO-15 To apply mathematical principles to real world problems.
PO-17 Be able to set up and develope a solution method for a problem in mathematics independently, be able to solve and evaluate the results and to apply them if necessary.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Transition of fuzzy sets from classical clusters, Operations on fuzzy sets, Fuzzy arithmetic, Fuzzy relations, Equations of fuzzy relations, Functions of fuzzy variables
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 mid-term exam
2 final exam
Recommend Course Book / Supplementary Book/Reading
Required Course instruments and materials

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 3 10 30
Other assessment methods
1.Oral Examination 3 10 30
2.Quiz 3 10 30
3.Laboratory exam
4.Presentation 2 5 10
5.Report 2 5 10
6.Workshop 2 5 10
7.Performance Project 2 5 10
8.Term Paper
9.Project 2 5 12
final exam 2 5 12

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 0
Outside Class
       a) Reading 0
       b) Search in internet/Library 0
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 5 10 50
       e) Term paper/Project 0
Oral Examination 0
Quiz 5 5 25
Laboratory exam 0
Own study for mid-term exam 20 4 80
mid-term exam 5 1 5
Own study for final exam 5 4 20
final exam 0
0
0
Total work load; 180