MAT-60006 Matrix Algebra, 5 cr
Additional information
This is the English version of the TUT course MAT-60000 Matriisilaskenta. The course will be lectured in English every second year.
The implementation will not be executed during the academic year 2019-2020.
Person responsible
Mika Mattila
Lessons
Implementation | Period | Person responsible | Requirements |
MAT-60006 2019-01 | - |
Mika Mattila |
Final exam. |
Learning Outcomes
After passing the course the student: - knows the main concepts of matrix algebra and linear algebra and is able to perform calculations and make valid conclusions. - is able to make the most important matrix decompositions and apply them. - can use Matlab as a tool of solving problems that appear in the context of matrix algebra.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Basics of linear algebra | Use of Matlab | Applications |
2. | LU-decomposition and Gaussian elimination | Use of Matlab | Applications |
3. | Linear algebra in n-dimensional spaces. Basis. Orthogonalisation, orthonormal basis. Change of basis. Projection matrices. | Use of Matlab | Applications |
4. | Eigenvalues and eigenvectors. Spectral decomposition. Jordan's canonical form. | Use of Matlab | Applications |
5. | Singular value decomposition. Matrix norm. | Use of Matlab | Applications |
Instructions for students on how to achieve the learning outcomes
Active participation in the weekly exercise sessions is very much recommended. It will also result as a significant number of bonus points that will be taken into account in the grading of the course.
Assessment scale:
Numerical evaluation scale (0-5)
Partial passing:
Study material
Type | Name | Author | ISBN | URL | Additional information | Examination material |
Book | Matrix Theory with Applications | Goldberg | McGraw-Hill | No | ||
Summary of lectures | Matrix Algebra 1 | Seppo Pohjolainen | Home page | Yes |
Additional information about prerequisites
Basic Engineering Mathematics 1-4 or Mathetics 1-4 Courses
Correspondence of content
Course | Corresponds course | Description |
MAT-60006 Matrix Algebra, 5 cr | MAT-31096 Matrix Algebra 1, 5 cr | |
MAT-60006 Matrix Algebra, 5 cr | MAT-60000 Matrix Algebra, 5 cr |