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Course unit, curriculum year 2024–2025
MATH.APP.410
Matrix Analysis, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2024–20.10.2024)
Active in period 3 (1.1.2025–2.3.2025)
Course code
MATH.APP.410Language of instruction
English, FinnishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Intermediate studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Henrik WirzeniusResponsible teacher:
Mika Mattila, (primary)Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Core content
- Basics of linear algebra for complex vectors and matrices
- LU-decomposition and Gaussian elimination
- Linear algebra in n-dimensional spaces. Basis. Orthogonalisation, orthonormal basis. Change of basis.
- Projector matrices.
- Eigenvalues and eigenvectors and spectral decomposition of a matrix
- Jordan canonical form
- Singular value decomposition, matrix norm, pseudoinverse
- Random vectors and matrices
- Linear model (estimation and testing)
Complementary knowledge
- Use of Matlab
Specialist knowledge
- Applications
Learning outcomes
Prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
The teaching language of this implementation is Finnish.
Completion of all options is required.
Exam
No scheduled teaching
Participation in teaching
27.08.2024 – 15.10.2024
Active in period 1 (1.8.2024–20.10.2024)
08.01.2025 – 25.02.2025
Active in period 3 (1.1.2025–2.3.2025)
Completion option 2
The teaching language of this implementation is English. Passing exam is required for passing the course. Exercise activity will have a positive affect on the grading.
Completion of all options is required.
Participation in teaching
27.08.2024 – 15.10.2024
Active in period 1 (1.8.2024–20.10.2024)
08.01.2025 – 25.02.2025
Active in period 3 (1.1.2025–2.3.2025)
Exam
No scheduled teaching