I've taught a variety of courses over more than 30 years. A good number of these courses have electronic resources I have developed. I will post material for these courses. If you know of a course you'd like to see material for, contact me. I may have taught that course!
To see course material I have available, look for folders in Hugh's files. As I post more material, I'll probably get more organized, but this is a start.
This material can be copied, redistributed and remixed by anyone for any purpose. If you like it and want to tell me, contact me.
Courses I have taught include those listed below.
Acadia:
Math 1253 (Statistics I) based on OpenIntro Statistics by Christopher Barr, David Diez, and Mine Çetinkaya-Rundel
Math 2253 (Statistics II) based on OpenIntro Statistics by Christopher Barr, David Diez, and Mine Çetinkaya-Rundel
Math 2213 (Intro Probability with Calculus) based on Probability and Statistics for Engineering and the Sciences by Devore
Math 2223 (Intro Statistics with Calculus) based on Probability and Statistics for Engineering and the Sciences by Devore
Math 1613 (Math for Business) based on Mathematical Applications for the Management, Life, & Social Sciences by Harshbarger.
Math 3273 (Design and Analysis of Experiments) based on Design and Analysis of Experiments, by Montgomery.
Math 3293 (Statistical Learning) based on An Introduction to Statistical Learning by James, Whitten, Hastie and Tibshirani.
Math 3623 (Operations Research II - Stochastic Models - Acadia) based on Introduction to Modeling and Analysis of Stochastic Systems by Kulkarni.
Math 3013 (Topics - Computing with Data) based on R for Data Science by Grolemund and Wickham.
Math 4023 (Topics - Computational Statistics) based on Computational Statistics by Givens and Hoeting
Math 4023 (Topics - Data Mining) based on The Elements of Statistical Learning: Data Mining, Inference, and Prediction, by Hastie, Tibshirani, and Friedman
Math 4023 (Topics - Pattern Recognition and Machine Learning) based on Pattern Recognition and Machine Learning by Bishop.
Math 5823 (Topics - Statistical Analysis of Network Data) based on Statistical Analysis of Network Data by Kolaczyk.
University of Waterloo:
Probability (230)
Statistics (231)
Probability and Statistics for software engineering (206)
Statistics for Accounting (211)
Regression (331)
Simulation (340)
Generalized linear models (431)
Computational Exploration of Data (441)
Ensemble models (946)