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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
8 January 2017 See wiki 21.1: Strings and Webs Jan 16 or 17
Jan 15 See wiki 21.2: Fourier Techniques Jan 30 or 31
jan 29 See wiki 21.3: Image Manipulation in Python Feb 13 or 14
Feb 12 See wiki 21.4a: Introduction to Bayesian Analysis Feb 20 or 21
Feb 19 See wiki 21.4b: Markov Chain Monte Carlo Feb 27 or 28
Feb 26 See wiki 21.5: Covariance and PCA Mar 6 or 7

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

Sections

Tuesday 1-4 PM Amyas Chew
Wednesday 1-4 PM Christopher White

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