Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Functional Analysis MAT405 Turkish Compulsory 7. Semester 3 + 0 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Lecturing
Course Coordinator Prof. Dr. Merve İLKHAN KARA
Instructor(s)
Goals The aim of this course is to introduce the fundamental concepts of functional analysis, starting from metric spaces to normed spaces, and to enable students to understand key notions such as convergence, continuity, completeness, and compactness. It also aims to develop analytical thinking and problem-solving skills within the framework of linear and normed spaces.
Course Content This course begins with the definition, examples, and fundamental properties of metric spaces, followed by sequences, convergence, Cauchy sequences, and completeness. Complete metric spaces, continuity, and compactness are studied. The course then introduces linear spaces and normed spaces, including their definitions, examples, and basic properties. Convergence and completeness in normed spaces, Banach spaces, and finite-dimensional normed spaces are also covered. The course is supported by problem-solving sessions.
Learning Outcomes
# Öğrenme Kazanımı
1 Defines the concepts of normed spaces and metric spaces and explains their fundamental properties.
2 Applies appropriate theorems and methods to solve problems in normed and metric spaces.
3 Constructs mathematical proofs using the fundamental theorems of functional analysis.
4 Interprets the concepts of completeness, boundedness, convergence, being a Cauchy sequence within the context of functional analysis.
5 Develops analytical thinking skills on abstract structures by using mathematical proof techniques.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Metric spaces: Definition, examples, and basic properties Preparation, After Class Study
2. Week Metric spaces: Definition, examples, and basic properties Preparation, After Class Study
3. Week Sequences, convergence, Cauchy sequences, and completeness Preparation, After Class Study, Research
4. Week Complete Metric spaces Preparation, After Class Study, Research
5. Week Continuity, compactness in metric spaces Preparation, After Class Study, Research
6. Week Problem solving Other Activities
7. Week Definition, examples, and fundamental properties of linear spaces. Preparation, After Class Study
8. Week Introduction to normed spaces and their relation to metrics Preparation, After Class Study, Research
9. Week Normed spaces: Definition, examples, and basic properties Preparation, After Class Study
10. Week Normed spaces: Definition, examples, and basic properties Preparation, After Class Study, Research
11. Week Convergence in normed spaces, Cauchy sequences, and the concept of completeness. Preparation, After Class Study
12. Week Banach spaces and their fundamental properties Preparation, After Class Study, Research
13. Week Finite dimensional normed spaces Preparation, After Class Study, Research
14. Week Problem solving Other Activities
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Possesses theoretical and applied knowledge of the fundamental areas of mathematics (Analysis and Function Theory, Algebra and Number Theory, Geometry, Applied Mathematics, Topology and Foundations of Mathematics, and Mathematical Logic).
3 Defines mathematical problems, selects appropriate methods, and solves them using analytical/numerical techniques.
4 Constructs mathematical expressions with logical integrity and reaches conclusions using proof methods.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 5 5 5 5 5
PY3 3 5 4 3 5
PY4 4 3 3 2 4
Recommended Sources
Ders Kitabı veya Notu
Diğer Kaynaklar
  • All the books of functional analysis and literature
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Homework 1 3 3
Preparation, After Class Study 12 3 36
Research 7 2.5 17.5
Other Activities 2 3 6
Sınavlar
Midterm 1 1.5 1.5
Midterm Preparation 1 3 3
Homework 1 3 3
Final 1 1.5 1.5
Classroom Activities 14 1 14
Total Workload 127.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0