Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Matrix Analysis II MAT525 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 Constrained maximum; Functions of matrices; Different descriptions of characteristic roots; Inequalities; Dynamic programming
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 Constrained maxima
2. Week Constrained maxima
3. Week Functions of matrices
4. Week Functions of matrices
5. Week Variational description of characteristic roots
6. Week Variational description of characteristic roots
7. Week Inequalities
8. Week Midterm
9. Week Inequalities
10. Week Inequalities (continuation)
11. Week Inequalities (continuation)
12. Week Dynamic programming
13. Week Dynamic programming
14. Week Dynamic programming (continuation)
Recommended Sources
[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.
[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.
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 3 0 0 40
PY5 4 0 0 40
PY6 4 0 0 40
PY7 3 0 0 40
PY8 3 0 0 40
PY9 4 0 0 40
PY10 3 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