Matrix Course
Master matrix algebra essentials including powers, inverses, determinants, eigenvalues, and eigenvectors, with applications to discrete-time models and networks through practical 3x3 examples and numerical tools.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Matrix Course provides a clear path to mastering matrix powers, inverses, determinants, eigenvalues, and eigenvectors, then applying them to discrete-time models and networks. You will work through straightforward 3x3 examples, numerical tools, and stability analysis to grasp long-term behaviour, modal decomposition, and real-world systems, acquiring practical methods you can apply right away in your projects.
Elevify advantages
Develop skills
- Build 3x3 linear models: map real systems into clear matrix form quickly.
- Analyse eigenvalues: predict stability, growth, and oscillations in R^3.
- Diagonalise matrices: compute M^t and long-term behaviour in minutes.
- Use Python or MATLAB: get powers, eigenpairs, and inverses with clean reports.
- Decompose initial states: express x(t) via modes for sharp qualitative insight.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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