PHYS 555

Advanced Computing and Machine Learning for Physics and Astronomy

Units: 1.5

An introduction to the concepts and essential tools of advanced computing and machine learning, via hands-on application to diverse areas of physics and astronomy. Topics may include: advanced distributed, concurrent and parallel computing; big data tools and the use of structured and unstructured data; neural networks and machine learning, including supervised and unsupervised systems; data exploration and visualization.

Graduate course in the Physics program offered by the Faculty of Graduate Studies.

Summer 2019 Fall 2019 Spring 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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