Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Methods of Hilbert Spaces MAT538 3 + 0 3.0 8.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Lecturing
Course Coordinator Prof. Dr. Emrah Evren KARA
Instructors Emrah Evren KARA
Assistants
Goals Teaching Masters students about Hilbert spaces and operators in these spaces.
Course Content Spectral representation of unit matrix and its Applications to ODE,Elements of Hilbert Spaces,Self-Adjointness, Unitary and Normal Operators,Unbounded Operators in Hilbert Space,Hyperbolic differential equations,Parabolic differential equations,Elliptic differential equations
Learning Outcomes - Student’s ability of commenting and thinking truely will improve and the students will get basic information about mathematics.
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Spectral representation of unit matrix and its Applications to ODE
2. Week Spectral representation of unit matrix and its Applications to ODE
3. Week Hilbert Spaces, Self-Adjoint, Unitary and Normal Operators
4. Week Hilbert Spaces, Self-Adjoint, Unitary and Normal Operators
5. Week Hilbert Spaces, Self-Adjoint, Unitary and Normal Operators
6. Week Hilbert Spaces, Self-Adjoint, Unitary and Normal Operators
7. Week Unbounded Operators in Hilbert Space
8. Week Midterm
9. Week Unbounded Operators on Hibert Spaces
10. Week Unbounded Operators in Hilbert Space
11. Week Hyperbolic differential equations
12. Week Hyperbolic differential equations
13. Week Parabolic differential equations
14. Week Elliptic differential equations
Recommended Sources
Ashyralyev A. and Sobolevskii P.E. Well-Posedness of Parabolic Difference Equations. Birkhauser Verlag: Basel. Boston. Berlin, 1994.
.Applied Analysis by the Hilbert Space Method: An Introduction with Applications to the Wave, Heat, and Schrodinger Equations (Dover Books on Mathematics) by Samuel S. Holland.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 Measurement Method
PY1 5 5 40,60
PY2 5 5 40,60
PY3 1 1 40,60
PY4 3 3 40,60
PY5 4 4 40,60
PY6 3 3 40,60
PY7 2 2 40,60
PY8 4 4 40,60
PY9 4 4 40,60
PY10 4 4 40,60
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 3 42
Preparation, After Class Study 14 1 14
Research 14 1 14
Other Activities 14 1 14
Midterm 1 1 2 2
Homework 1 7 3 21
Homework 2 7 3.5 24.5
Final 1 2.5 2.5
Practice 14 1 14
Practice End-Of-Term 14 2 28
Classroom Activities 14 2 28
Total Workload 204
ECTS Credit of the Course 8.0