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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. Bayesian methods. Fourier methods.

Reading and assignments

Assignments and reading lists are posted here.

Week of... Reading list Assignment Due date
April 2 See wiki 21.1: Strings and Webs April 16
April 16 See wiki 21.2: Fourier Techniques April 30
April 30 See wiki 21.3: Image Manipulation in Python May 14
May 14 See wiki 21.4a: Introduction to Bayesian Analysis May 21
May 21 See wiki 21.4b: Markov Chain Monte Carlo May 29
May 28 See wiki 21.5: Covariance and PCA June 10

All assignments are due by noon on Monday on the date specified

Resources

People

Lab Manager: Chris Mach 103-33, x2299 cmach{at}alice
Professor: Tom Prince 290-17, x6605 prince{at}caltech{dot}edu
Teaching Assistant: Michael Grudic mgrudich{at}caltech{dot}edu
Teaching Assistant: Christopher White cdwhite{at}caltech{dot}edu

Sections

Wednesday 1-4 PM Christopher White
Friday 1-4 PM Michael Grudic

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