What to Learn Next & Final Checklist

Where to go after this course, and a checklist to confirm you have mastered every topic.

What to Learn Next

Simulink and Stateflow for model-based design (MATLAB/Simulink Onramp, free from MathWorks).

Toolboxes relevant to your field: Signal Processing, Control System, Optimization, Statistics and Machine Learning, Vehicle Network.

Code generation: MATLAB Coder and Embedded Coder for deploying algorithms to C/C++ and ECUs.

Python for scientific computing (NumPy, SciPy, Matplotlib) — similar concepts, open source; the EngiLipi Python course covers the language.

C/C++ for embedded implementation of algorithms prototyped in MATLAB (EngiLipi C and C++ courses).

GNU Octave for a free, MATLAB-compatible environment (used to verify this course).

Final MATLAB Course Checklist

☐ Environment and output ☐ Variables and types ☐ Vectors and matrices ☐ Linear algebra basics ☐ Built-in functions ☐ Text and regular expressions ☐ Function handles ☐ Logical indexing and vectorization ☐ Maps and tables ☐ Error handling and debugging ☐ Polynomials and fitting ☐ Linear algebra for engineers ☐ Integration and ODEs ☐ Optimization ☐ Signal processing ☐ Control simulation ☐ Data analysis ☐ Object-oriented programming ☐ Engineering applications ☐ Toolboxes and Simulink ☐ Interview preparation

EngiLipi — Learn Engineering and Technology from Fundamentals to Advanced Practice