Functional Analysis (MATH557) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Functional Analysis MATH557 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Functional analysis is the generalization and geometrization of the fundamental concepts and methods of classical analysis. The techniques of functional analysis have many applications in various branches of pure and applied mathematics. This course gives a transparent expository treatment of the fundamentals of functional analysis, thus bringing the subject within the easy access of students. The course is designed for comprehending of the notions of linear operators, linear functionals on metric spaces and normed spaces.
Course Learning Outcomes The students who succeeded in this course;
Course Content Sets and mappings, countable sets, metric spaces, complete metric spaces, Baire category theorem, compactness, connectednes, normed spaces, linear topological invariants, Hilbert spaces, Cauchy-Schwartz inequality, linear operators, bounded operators, unbounded operators, inverse operators, Hahn-Banach extension theorems, open mapping and closed gr

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation

Sources

Course Book 1. L. A. Lusternik and V. I. Sobolev, Elements of Functional Analysis, Wiley, New York, 1974.
Other Sources 2. E. Kreyszig, Introductory Functional Analysis with Applications, Wiley, New York, 1978.
3. A. N. Kolmogorov and S. V. Fomin, Elements of the Theory of Functions and Funtional Analysis, Dover, New York, 1999.
4. R. Meise and D. Vogt, Introduction to functional analysis, Oxford University Press, New York, 1997.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area. X
2 Has the ability to obtain, to evaluate, to interpret and to apply information by doing scientific research. X
3 Can apply gained knowledge and problem solving abilities in inter-disciplinary research. X
4 Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary. X
5 Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study. X
6 Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework. X
7 Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility. X
8 Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge. X
11 Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 2 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 7 14
Prepration of Final Exams/Final Jury 1 11 11
Total Workload 35