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Massachusetts Institute of Technology

Computational Data Science in Physics II

Massachusetts Institute of Technology via MITx Online

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Overview

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This course provides realistic, contemporary examples of how computational methods apply to physics research. Topics include hypothesis testing, semi-parameteric methods, and deep learning. In the Final Project, you will analyze LHC data to measure properties of the W boson and Z boson.

Syllabus

  • Hypothesis testing
  • f-test
  • t-test
  • Likelihood ratios
  • Semiparametric methods
  • Splines
  • Convolutions
  • Deep Learning Discrimination
  • Deep Learning Regression
  • Collider Data Analysis
  • Higgs boson

Taught by

Philip Harris, Isaac Chuang, Jesse Thaler, and Alex Shvonski

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