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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 3 See wiki 21.1: Strings and Webs April 18 or 21
April 17 See wiki 21.2: Fourier Techniques May 2 or 5
May 1 See wiki 21.3: Image Manipulation in Python May 16 or 19
May 15 See wiki 21.4a: Introduction to Bayesian Analysis May 23 or 26
May 22 See wiki 21.4b: Markov Chain Monte Carlo May 30 or June 2
May 29 See wiki 21.5: Covariance and PCA June 6 or 9

All assignments are due by 11:59pm on day of lab session unless otherwise 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: Maria (Masha) Okounkova mookounk{at}caltech{dot}edu
Teaching Assistant: Jason Pollack jpollack{at}caltech{dot}edu

Sections

Tuesday 1-4 PM Jason Pollack
Friday 1-4 PM Maria (Masha) Okounkova

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