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Physics 21: Tools for Data Analysis

Course Description

  • 6 units (0-6-0)
  • Prerequisites: CS 1 or equivalent experience with computers and Ph20 or equivalent
  • Offered second and third terms
  • Ground rules

Topics covered

  • Tools for data analysis. Acquiring data from the web. Fourier methods. Image manipulation. Bayesian Analysis. MCMC. Principle Component Analysis.

Reading and assignments

Assignments and reading lists are posted here.

Week of... Reading list Assignment Due date
April 1 2019 See wiki 21.1: Strings and Webs Apr 11 or 12
Apr 8 See wiki 21.2: Fourier Techniques Apr 22 or 23
Apr 22 See wiki 21.3: Image Manipulation in Python May 9, 10, or 13
May 6 See wiki 21.4a: Introduction to Bayesian Analysis May 16, 17, or 20
May 13 See wiki 21.4b: Markov Chain Monte Carlo May 23, 24, or 27
May 20 See wiki 21.5: Covariance and PCA May 30 or 31 or June 3

All assignments are due by 11:59pm on day of lab session unless otherwise specified



Lab Manager: Chris Mach 103-33, x2299 cmach{at}alice{dot}caltech{dot}edu
Professor: Alan Weinstein ajw{at}caltech{dot}edu
Teaching Assistant: Mike Grudić mgrudich{at}caltech{dot}edu
Teaching Assistant: Xuejian (Jacob) Shen xshen{at}caltech{dot}edu
Teaching Assistant: Chris White golwengaud{at}gmail{dot}com


Tuesday 2:30-5-30 PM Xuejian (Jacob) Shen
Thursday 2-5 PM Mike Grudić
Monday 1-4 PM Chris White

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