Introduction to Probability and Statistics for Engineers

University of Padova

Philip B. Stark, Department of Statistics, University of California, Berkeley

29 June–7 July 2015

Software requirements


Course Index

Please note: these notes are still in draft form, with large gaps. I'm happy to hear about any errors, and I hope eventually to fill in some of the missing pieces.

  1. Overview
  2. Introduction to Jupyter and R
  3. Mathematical Preliminaries
  4. Linear Algebra
  5. Probability, Random Vectors, and the Multivariate Normal Distribution
  6. Inference and Statistical Models
  7. Multiple Regression
  8. Maximum Likelihood
  9. The Bootstrap
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