All our class materials and HOMEWORK can be found here.
To download a file:
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click the file
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When you save the file, make sure that it is in the exact Format (the same extension, say .pdf, .ipynb, .txt, .dat, .csv, etc...)
Resources:
- Best place to find programming related answers : https://stackoverflow.com/
- Basic Python3.x (required), Chapter 1 - 10 in the tutorial: https://www.py4e.com/html3/01-intro
- Probability: prerequisite of Grinstead: Chapter 1 - 7 https://math.dartmouth.edu/~prob/prob/prob.pdf
- Probability: we will cover the rest of Grinstead
- Highly Recommended :we will NOT use R/Stan, but the stats part is useful
- Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath.
- Bayesian Data Analysis, by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin. 3rd Edition.