Machine Learning for Physics and Astronomy
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Overview
Subject area
PHYS
Catalog Number
3600
Course Title
Machine Learning for Physics and Astronomy
Description
The course focuses on modern problem solving in Physics and Astronomy through statistical inference, machine learning algorithms and data mining techniques. Students will be presented with data sets and research problems in different areas of physics (particle physics, geophysics, astrophysics, condensed matter physics) and will learn how to formulate solutions by building their own toolbox, including Bayesian statistics, Monte Carlo sampling, regression and classification algorithms, clustering, dimensionality reduction, data visualization, and data cleaning. The programming assignments will be carried out in current, flexible languages, such as Python.
Pre- or Corequisite
030264
Liberal Arts
Yes
Department(s)
Credits
Minimum
3
Max
3
Components
Name
Laboratory
Contact Hours
2
Name
Lecture
Contact Hours
2