This organization gathers the complete set of software projects, simulations, and programming assignments that I developed throughout my academic journey in Mechanical Engineering (BSc) and Mechatronics & Robotics Engineering (MSc). The repositories reflect the coursework I completed at @Politecnico di Milano and @University of Waterloo during my Erasmus exchange program.

The primary purpose of this collection is to serve as a comprehensive portfolio of my academic work, showcasing the practical applications of the concepts and skills I acquired during my studies. Except for the README files – which provide context and explanations – the code is presented as it was originally written for each course assignment or project.

Maglev Feedback Simulink

Each repository corresponds to a course that might contain multiple projects, assignments, or reports. In general, three main branches of topics are covered:

• Informatica B
• Metodi analitici e numerici per l'ingegneria
• Sperimentazione e Analisi dei Dati

• Advanced Manufacturing Process B
• Advanced Finite Element Methods*
• Computational Fluid Dynamics*
• Special Topics in Materials*
• Advanced Dynamics of Mechanical Systems
• Topology Optimisation

• Data Analysis and Experimental Characterization for Mechatronic and Robotic Systems
• Lab Mechatronics
• Mechatronic Systems A
• Machine Learning

Courses marked with an asterisk were taken at the University of Waterloo during my Erasmus exchange program.

Most projects are developed in MATLAB, given its widespread use in engineering coursework. You will also find:

• Simulink, for system modeling and simulation
• Python, for data analysis, simulations, and robotics (NumPy, SciPy, ROS, etc.)
• Occasional Mathematica scripts for symbolic or analytical computations
• Reports and documentation written in LaTeX, ensuring clear and professional formatting

I believe in open knowledge sharing — feel free to explore, fork, or adapt these repositories for your own learning. Keep in mind, however, that simply copying code is not enough; understanding the underlying concepts is essential for meaningful learning. Use these projects as a reference or inspiration, not as a substitute for your own work.

If you find a project particularly useful or would like to contribute improvements, feel free to open an issue or reach out.

Have a nice coding day,

Tommaso 🐼