Matrix Course
This course equips learners with essential matrix techniques for modeling and analyzing dynamic systems, emphasizing practical applications in discrete-time models and network stability through hands-on examples and computational tools.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Matrix Course provides a focused pathway to mastering matrix powers, inverses, determinants, eigenvalues, and eigenvectors, then applying them to discrete-time models and networks. Work through clear 3x3 examples, numerical tools, and stability analysis to understand long-term behaviour, modal decomposition, and real-world systems, gaining practical, verifiable methods you can use immediately in your own projects.
Elevify advantages
Develop skills
- Build 3x3 linear models: map real systems into clear matrix form fast.
- 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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