Semester:
Fall
Offered:
2024
This class presents methodologies to model, analyze and optimize, physical systems using stochastic processes. We use data to develop and evaluate models and in turn algorithms that link models with data. We discuss advantages aan limitations of these processes and link them to computational thinking. Course prerequisites include a good level of probabilities and statistics, programming skills, as well as knowledge of partial differential equations.