Graduate Student Lectures

22 Feb 2011

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Invited theorists and experimentalists explain the hands-on reality of designing and running detectors and accelerators, computing, machine learning, Monte-Carlo and simulation, trigger and data acquisition, and practical statistics. Several of these topics are complemented by tutorials. This course is aimed at 1st year PhD students. 

For more graduate student lectures from previous years, check out this page​.

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