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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
7 January 2019 See wiki 21.1: Strings and Webs Jan 17 or 18
Jan 14 See wiki 21.2: Fourier Techniques Jan 31 or Feb 1
Jan 28 See wiki 21.3: Image Manipulation in Python Feb 14 or 15
Feb 11 See wiki 21.4a: Introduction to Bayesian Analysis Feb 21 or 22
Feb 18 See wiki 21.4b: Markov Chain Monte Carlo Feb 28 or Mar 1
Feb 25 See wiki 21.5: Covariance and PCA Mar 7 or 8

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{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

Sections

Tuesday 1-4 PM Xuejian (Jacob) Shen
Wednesday 2-5 PM Mike Grudić

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