| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Numerical Methods And Algorithms For Systems of Linear Equations | MAT612 | 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. FUAT USTA |
| Instructors | |
| Assistants | |
| Goals | Ensuring high level of knowledge related to the topics in the content of the course, giving the ability of using this konwledge in discussion and research environments to students. |
| Course Content | Basic definitions related to matrices, Eigenvalues and eigenvectors, Similarity transformations, Jordan canonical form, Hermit matrices , Stability of similarity transformations, İnverse iteration, İnverse iteration for eigenvalues, Jacobi method, Methods of Given and Housholder , Reduce the three diagonal form of real simetric matrices with Housholder orthogonal similarity transformations, Sturm sequence method, Power method, Solution with LR algorithm of eigenvalues problems, Cholesky-LR method |
| Learning Outcomes |
| Program Requirements | Contribution Level | Measurement Method |
|---|---|---|
| PY2 | 2 | 60 |
| PY6 | 2 | 60 |
| PY9 | 2 | 60 |
| 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 |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 1 | 3 | 3 |
| Research | 14 | 2 | 28 |
| Midterm 1 | 1 | 2 | 2 |
| Midterm 2 | 1 | 2 | 2 |
| Homework 1 | 14 | 3 | 42 |
| Homework 2 | 14 | 2 | 28 |
| Quiz 1 | 1 | 2 | 2 |
| Quiz 2 | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Practice | 6 | 12 | 72 |
| Classroom Activities | 14 | 1 | 14 |
| Total Workload | 197 | ||
| ECTS Credit of the Course | 8.0 | ||
