The textbook(s) I am currently using / have used before / considering to use:

• MATH 141 Introduction to Statistical Reasoning
  • OpenIntro Statistics, Diez, Barr, Cetinkaya-Rundel, CreateSpace, 2015
    • Spring 2016 & Fall 2016
    • OpenIntro.org has a lot of great teaching and learning resources!
• CMPU / MATH 144 Foundations of Data Science
  • Computational and Inferential Thinking
    • Spring 2020
• MATH 240 Introduction to Statistics
  • Introduction to Modern Statistics, Cetinkaya-Rundel and Hardin, 2021
    • Fall 2021
  • OpenIntro Statistics, Diez, Barr, Cetinkaya-Rundel, CreateSpace, 2015
    • Spring 2019
• MATH 241 Probability
  • A First Course in Probability, Ross, Prentice Hall, 2012
    • Fall 2015 & Fall 2017 & Fall 2019
  • Introduction to Probability, Blitzstein, Chapman & Hall, 2014
    • Fall 2017 (reference book)
• MATH 242 Applied Statistical Modeling
  • Introduction to Modern Statistics, Cetinkaya-Rundel and Hardin, 2021
    • Spring 2022
  • Beyond Multiple Linear Regression, Roback and Legler, 2021
    • Spring 2022
• MATH 341 Statistical Inference
  • Mathematical Statistics and Data Analysis, Rice, Brooks/Cole, 2006
    • Spring 2017
• MATH 347 Bayesian Statistics
  • Probability and Bayesian Modeling, Albert and Hu, Chapman & Hall, 2019
    • Spring 2022
  • A First Course in Bayesian Statistical Methods, Hoff, Springer, 2010
    • Fall 2016 & Fall 2017 & Spring 2019 & Fall 2019
  • Bayesian Cognitive Modeling: A Practical Course, Lee and Wagenmaker, Cambridge University Press, 2014
    • Fall 2017 (reference book)
  • Bayesian Data Analysis (3rd edition), Gelman et al., Chapman & Hall, 2013
    • Fall 2016 & Fall 2017 (reference book)