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.

Schedules:
Summer 2019 Fall 2019 Spring 2020

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

Before these dates the class schedule will show "No classes were found that meet your search criteria". If this message is shown after these dates, the course is not scheduled for the selected term.