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Spring2017
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README.md

README

General course website description

How to compile this course website

Steps:

  1. Fork.
  2. Edit the following files:

TODO

Supplements

  1. Monte Carlo
  2. Maximum likelihood (esp. logit and probit)
  3. Prediction intervals vs. confidence intervals
  4. Creating results tables: knitr (kable()), xtable, pander and stargazer

Course requirements

  • Ask Max: Plans for requirements next year?
  • Make required skill very explicit
  • What are the fundamental requirements for this course?
    • Matrix theory for symmetric, square matrices
    • Theorems
  • Are there online courses that would prepare the students for our 212 class?
    • See Carnegie Mellon examples; multiple-choice questions with feedback
    • Bootcamp? Leo's old notes?
  • Who (on campus) could accomplish this task?
    • ARE/ERG/ESPM/Public Health
    • D-lab
    • BIDS

Other

  • Provide more examples/problem.
  • Add within-section problems.