Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / MAT501 - MATHEMATICS

Code: MAT501 Course Title: ADVANCED FUNCTIONAL ANALYSIS 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 NECDET BATIR (nbatir@nevsehir.edu.tr)
Name of Lecturer(s) NECDET BATIR,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Teach to selecting topics of functional analysis.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 The spectral theory of finite dimensional spaces is known. PO-1 Fundamental theorems of about some sub-theories of Analysis, Applied Mathematics, Geometry, and Algebra can apply to new problems.
PO-6 Following the developments in science and technology and gain self-renewing ability.
PO-8 To perform the ethical responsibilities in working life.
PO-13 Ability to use mathematical knowledge in technology.
Examination
LO-2 Further properties of resolvent and spectrum is know 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-4 Ability to learn scientific, mathematical perception and the ability to use that information to related areas.
PO-6 Following the developments in science and technology and gain self-renewing ability.
Examination
LO-3 Banach algebras is known 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.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Spectral theory in finite dimensional normed spaces, spectral properties of bounded linear operators, further properties of resolvent and spectrum, use of complex analysis in spectral theory, Banach algebras, further properties of Banach algebras
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Spectral theory in finite dimensional normed spaces, Oral representation, questioning and answering
2 Spectral theory in finite dimensional normed spaces, Oral representation, questioning and answering
3 Spectral properties of bounded linear operators Oral representation, questioning and answering
4 Spectral properties of bounded linear operators Oral representation, questioning and answering
5 Further properties of resolvent and spectrum Oral representation, questioning and answering
6 Further properties of resolvent and spectrum Oral representation, questioning and answering
7 Use of complex analysis in spectral theory Oral representation, questioning and answering
8 mid-term exam
9 Use of complex analysis in spectral theory Oral representation, questioning and answering
10 Banach algebras Oral representation, questioning and answering
11 Banach algebras Oral representation, questioning and answering
12 Banach algebras Oral representation, questioning and answering
13 Further properties of Banach algebras Oral representation, questioning and answering
14 Further properties of Banach algebras Oral representation, questioning and answering
15 Further properties of Banach algebras Oral representation, questioning and answering
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Introductory fnctioanl analysis with applications, E. Kreyzing
Required Course instruments and materials
Related resources

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 10 1 20
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 14 42
Outside Class
       a) Reading 0
       b) Search in internet/Library 3 15 45
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 5 4 20
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 5 7 35
mid-term exam 2 1 2
Own study for final exam 7 5 35
final exam 2 1 2
0
0
Total work load; 181