Mathematics

Introduction To Functional Analysis(MAT452)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT452 Introduction To Functional Analysis 7 4 0 0 4 8
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Oğuzhan KAYA oguzabel@gmail.com (Email)
Assistant
Objective The objective of this course is to study the the basic tools for the functional anlysis without any refernce to measure theory
Content Metric Spaces: Review
Normed Spaces, Banach Spaces
Inner Product Spaces, Hilbert Spaces
4 İmportant Theorems about Hilbert Spaces: Projection Theorem, Decomposition Theorem, Riesz Representation Theorem, Hahn-Banach Theorem
Course Learning Outcomes The course learning outcome is to be familiar with basic concepts of functional analysis using the basic tools metric spaces, normed spaces and inner product spaces and to be able to understand the 4 important theorems about Hilbert spaces
Teaching and Learning Methods Course and Recitation Hours
References Introductory Functional Analysis and Applications, Erwin Kreyszig
Print the course contents
Theory Topics
Week Weekly Contents
1 Metric Spaces: Review
2 Further Examples of Metric Spaces: Sequences Spaces, Function Spaces
3 Completeness
4 Complete Metric Spaces
5 Normed Spaces, Banach Spaces
6 Compactness and Finite Dimension
7 Linear Operators
8 Bounded Operators
9 Linear Functionals
10 Normed Spaces of Operators and Dual Space
11 Inner Product Spaces, Hilbert Spaces
12 Orthoganal Complements and Orhonormal Sets and Sequences
13 4 İmportant Theorems about Hilbert Spaces: Projection Theorem, Decomposition Theorem, Riesz Representation Theorem, Hahn-Banach Theorem
14 4 İmportant Theorems about Hilbert Spaces: Projection Theorem, Decomposition Theorem, Riesz Representation Theorem, Hahn-Banach Theorem
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 1 60
Contribution of final exam to overall grade 1 40
Toplam 2 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 2 30
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 3 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; X
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); X
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language; X
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; X
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad. X
Activities Number Period Total Workload
Class Hours 14 4 56
Working Hours out of Class 14 2 28
Assignments 0 0 0
Presentation 0 0 0
Midterm Examinations (including preparation) 1 10 10
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 20 20
Quiz 2 6 12
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 126
Total Workload / 25 5,04
Credits ECTS 5
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