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Politecnico di Milano

Computational Science & Computational Learning with Python and MATLAB

Politecnico di Milano via Polimi OPEN KNOWLEDGE

Overview

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This MOOC draws on the long-standing experience of the MOX Laboratory - Department of Mathematics of Politecnico di Milano and it introduces fundamental concepts and methods in scientific computing and computational learning to solve applied engineering and science problems. Through a hands-on, problem-based approach, learners integrate mathematical modeling, numerical simulation, and data-driven techniques using Python and MATLAB to develop key computational skills for modern applications in research and industry.

Total workload of the course: 30 hours

This MOOC is provided by Politecnico di Milano.

This MOOC was produced as part of the Edvance project – Digital Education Hub per la Cultura Digitale Avanzata. The project is funded by the European Union – Next Generation EU, Component 1, Investment 3.4 “Didattica e competenze universitarie avanzate".

Syllabus

  • Week 0 - Introduction
  • Get started
  • Week 1 - Fill up the tank
  • Modeling & coding
  • ...and now it's your turn
  • Quiz
  • Week 2 - Predict wildfire risk
  • Modeling & coding
  • ...and now it's your turn
  • Quiz
  • Week 3 - Control a robotic arm
  • Modeling & coding
  • ...and now it's your turn
  • Quiz
  • Week 4 - Blur a car plate
  • Modeling & coding
  • ...and now it's your turn
  • Quiz
  • Week 5 - Recognize digits
  • Modeling & coding
  • ...and now it's your turn
  • Quiz
  • Additional resources

Taught by

Anna Scotti, Domenico Savio Brunetto, Marco Verani, Alessio Fumagalli, Ilario Mazzieri, Francesco Regazzoni, Stefano Pagani, Edie Miglio, Carlo De Falco, Julian Venè, and Andrea Re Fraschini

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