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2025 Fall
Dec 06, 2025
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PHYS 887AF - Selected Machine Learning Topics in Physics
Machine Learning approaches to subatomic physics particle identification will be explored. The class expectations include comprehensive literature searches and essays. Hands-on projects will include processing simulated data towards detector and experimental optimization.
3.000 Credit hours
1.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Independent Study

Physics Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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Release: 8.7.2.4