Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Matrix Analysis I MAT524 3 + 0 3.0 8.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Lecturing
Course Coordinator Assist. Prof. Dr. Pınar ZENGİN ALP
Instructors Nejla ÖZMEN
Assistants
Goals Teaching high level of mathematics to graduate degree students
Course Content Basic concepts,Eigenvalues ,Eigenvectors ,Similarity,Unitary equivalence and normal matrices,Canonical forms,Hermitian and symmetric matrices
Learning Outcomes - Students will learn theoretical concepts in mathematics
- Students will learn how to read academical journals
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Maximization, minimization, and motivation
2. Week Maximization, minimization, and motivation
3. Week Vectors and matrices
4. Week Vectors and matrices
5. Week Vectors and matrices (continuation)
6. Week Vectors and matrices (continuation)
7. Week Diagonalization and canonical forms
8. Week Midterm
9. Week Diagonalization and canonical forms
10. Week Reduction of general symmetric matrices
11. Week Reduction of general symmetric matrices
12. Week Reduction of general symmetric matrices (continuation)
13. Week Reduction of general symmetric matrices (continuation)
14. Week The Cayley-Hamilton Theorem for symmetric matrices
Recommended Sources
[1] Bellman, R., Introduction to Matrix Analysis, The Rand Corporation, Philadelphia, 1997.
[1] Bellman, R., Introduction to Matrix Analysis, The Rand Corporation, Philadelphia, 1997.
[2] Golub G. H., Van Loan, C. F., Matrix Computations, The Johns Hopkins University Press, London, 1996.
[3] Horn, R. A., Johnson, C. R., Matrix Analysis, Cambridge University Press, Cambridge, 1985.
[2] Golub G. H., Van Loan, C. F., Matrix Computations, The Johns Hopkins University Press, London, 1996.
[3] Horn, R. A., Johnson, C. R., Matrix Analysis, Cambridge University Press, Cambridge, 1985.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 Measurement Method
PY1 4 0 0 40
PY2 4 0 0 40
PY3 4 0 0 40
PY4 4 0 0 40
PY5 3 0 0 40
PY6 4 0 0 40
PY7 4 0 0 40
PY8 4 0 0 40
PY9 4 0 0 40
PY10 4 0 0 40
*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
Midterm 1 1 2 2
Homework 1 15 2 30
Homework 2 15 2 30
Quiz 1 4 1 4
Quiz 2 4 1 4
Final 1 2 2
Practice 15 3 45
Classroom Activities 15 3 45
Total Workload 204
ECTS Credit of the Course 8.0