The first 3 weeks of the MOOC “๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐ข๐๐ง๐๐ & ๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง ๐๐ง๐ ๐๐๐๐๐๐” are online!
Discover them on POK – Polimi Open Knowledge! ๐ https://www.pok.polimi.it/course/view.php?id=263#tab2
๐ธ๐๐๐๐ค ๐ – ๐
๐ข๐ฅ๐ฅ ๐ฎ๐ฉ ๐ญ๐ก๐ ๐ญ๐๐ง๐ค
Differential equations and forward Euler method to model fluid level variation. Coding content: variables, loops, and functions.
๐ธ๐๐๐๐ค ๐ – ๐๐ซ๐๐๐ข๐๐ญ ๐ฐ๐ข๐ฅ๐๐๐ข๐ซ๐ ๐ซ๐ข๐ฌ๐ค
Linear regression for data fitting and forecasting of wildfire risk. Coding content: datasets and vectorized operations.
๐ธ๐๐๐๐ค ๐ – ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ ๐ ๐ซ๐จ๐๐จ๐ญ๐ข๐ ๐๐ซ๐ฆ
Gradient-based optimization applied to the control of a robotic arm. Coding content: loops and conditional statements.
The MOOC is developed by MOX โ Laboratory for Modeling and Scientific Computing of the Department of Mathematics at the Politecnico di Milano, with the support of the Effediesse laboratory of the Department of Mathematics โ Politecnico di Milano, and in collaboration with METID โ Politecnico di Milano.
