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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
9 January 2017 See wiki 21.1: Strings and Webs Jan 24 or 25
Jan 23 See wiki 21.2: Fourier Techniques Feb 7 or 8
Feb 6 See wiki 21.3: Image Manipulation in Python Feb 21 or 22
Feb 20 See wiki 21.4a: Introduction to Bayesian Analysis Feb 28 or Mar 1
Feb 27 See wiki 21.4b: Markov Chain Monte Carlo Mar 7 or 8
Mar 6 See wiki 21.5: Covariance and PCA Mar 13 or 14

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: Alan Weinstein 100-36, x2166 ajw{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
Wednesday 1-4 PM Maria (Masha) Okounkova

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