Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / MAT632 - MATHEMATICS (DOCTORATE DEGREE)

Code: MAT632 Course Title: THE SEQUENCE SPACES OF FUZZY NUMBERS II Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 3rd Cycle Degree Programme
Type of Course Optional
Department MATHEMATICS (DOCTORATE DEGREE)
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
The aim of this course, to teach basic algebraic and topological properties of sequence space sof fuzzy numbers.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 The Fuzzy metric spaces, Fuzzy normed spaces, The convergent sequence spaces of fuzzy numbers, The bounded sequence spaces of fuzzy numbers are known. PO-1 Students can design an original issue and explore new, different and / or comprehend complex issues.
PO-2 Students will understand all aspects of mathematics and deepen the knowledge level that can innovate in this field.
PO-3 Students will be dominated by current issues in mathematics.
Examination
LO-2 The class of sequences of fuzzy numbers defined by modulus function, The lacunary convergent of fuzzy numbers, The linear topologicial structure and property of fuzzy normed linear space are known. PO-1 Students can design an original issue and explore new, different and / or comprehend complex issues.
PO-2 Students will understand all aspects of mathematics and deepen the knowledge level that can innovate in this field.
PO-3 Students will be dominated by current issues in mathematics.
Examination
LO-3 The fuzzy sequence spaces which are defined by modulus functions are known. PO-1 Students can design an original issue and explore new, different and / or comprehend complex issues.
PO-2 Students will understand all aspects of mathematics and deepen the knowledge level that can innovate in this field.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Fuzzy metric spaces, Fuzzy normed spaces, The convergent sequence spaces of fuzzy numbers, The bounded sequence spaces of fuzzy numbers, The class of sequences of fuzzy numbers defined by modulus function, The lacunary convergent of fuzzy numbers, The linear topologicial structure and property of fuzzy normed linear space.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Fuzzy metric spaces oral represantation, questioning - answering, problem solving
2 Fuzzy metric spaces oral represantation, questioning - answering, problem solving
3 Fuzzy normed spaces oral represantation, questioning - answering, problem solving
4 Fuzzy normed spaces oral represantation, questioning - answering, problem solving
5 The convergent sequence spaces of fuzzy numbers oral represantation, questioning - answering, problem solving
6 The convergent sequence spaces of fuzzy numbers oral represantation, questioning - answering, problem solving
7 The bounded sequence spaces of fuzzy numbers oral represantation, questioning - answering, problem solving
8 mid-term exam
9 The bounded sequence spaces of fuzzy numbers oral represantation, questioning - answering, problem solving
10 The class of sequences of fuzzy numbers defined by modulus function oral represantation, questioning - answering, problem solving
11 The class of sequences of fuzzy numbers defined by modulus function oral represantation, questioning - answering, problem solving
12 The lacunary convergent of fuzzy numbers oral represantation, questioning - answering, problem solving
13 The lacunary convergent of fuzzy numbers oral represantation, questioning - answering, problem solving
14 The linear topologicial structure and property of fuzzy normed linear space. oral represantation, questioning - answering, problem solving
15 The linear topologicial structure and property of fuzzy normed linear space. oral represantation, questioning - answering, problem solving
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Summability Theory and Its Applications by Feyzi Başar
Required Course instruments and materials
Book and internet

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 15 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 17 51
Outside Class
       a) Reading 0
       b) Search in internet/Library 2 16 32
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 2 3 6
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 2 15 30
mid-term exam 2 8 16
Own study for final exam 1 15 15
final exam 2 15 30
0
0
Total work load; 180