MATH581 NUMERICAL ANALYSIS I
Course Code: | 2360581 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 8.0 |
Department: | Mathematics |
Language of Instruction: | English |
Level of Study: | Graduate |
Course Coordinator: | Assoc.Prof.Dr. BAVER OKUTMUŞTUR |
Offered Semester: | Fall Semesters. |
Course Objectives
The objective of this course is an introduction to the mathematical and computational aspects of Numerical Linear Algebra
Course Content
Error analysis. Solutions of linear systems: LU factorization and Gaussian elimination, QR factorization, condition numbers and numerical stability, computational cost. Least squares problems: the singular value decomposition (SVD), QR algorithm, numerical stability. Eigenvalue problems: Jordan canonical form and conditioning, Schur factorization, the power method, QR algorithm for eigenvalues. Iterative Methods: construction of Krylov subspace, the conjugate gradient and GMRES methods for linear systems, the Arnoldi and Lanczos method for eigenvalue problems.
Course Learning Outcomes
Students are expected to understand and to apply both theoretical and computational aspects of numerical linear algebra contents
Program Outcomes Matrix
Level of Contribution | |||||
# | Program Outcomes | 0 | 1 | 2 | 3 |
1 | Acquires mathematical thinking skills (problem solving, generating ways of thinking, forming correspondence, generalizing etc.) and can use them in related fields. | ✔ | |||
2 | Gains academic maturity through self-study. | ✔ | |||
3 | Can design mathematics related problems, devise solution methods and apply them when appropriate. | ✔ | |||
4 | Carries out parts of a mathematical research program independently. | ✔ | |||
5 | Has a command of Turkish and English languages so that he/she can actively communicate (read, write, listen and speak). | ✔ | |||
6 | Contributes to solving global, environmental and social problems either individually or as being part of a social group. | ✔ | |||
7 | Respects ethical values and rules; applies them in professional and social issues. | ✔ | |||
8 | Can work cooperatively in a team and also individually. | ✔ | |||
9 | Gets exposed to academic culture through interaction with others. | ✔ | |||
10 | Comprehends necessity of knowledge, can define it and acquires it; uses knowledge effectively and shares it with others. | ✔ |
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution