teaching.qmd

---
title: "Teaching"
format: html
editor: visual
---

## Books


### Traditionally Published

Pruim, Randall. 2018. *Foundations and Applications of Statistics: An
Introduction Using R*. 2nd ed. Vol. 28. Pure and Applied Undergraduate
Texts. Providence, RI: American Mathematical Society.
<https://www.ams.org/publications/authors/books/postpub/amstext-28>.

Wegener, Ingo. 2005. *Complexity Theory: Exploring the Limits of
Efficient Algorithms*. Berlin: Springer-Verlag.

Schöning, Uwe, and Pruim, Randall. 1998. *Gems of Theoretical Computer
Science*. Berlin: Springer-Verlag.

### Online

Kaplan, Daniel, and Pruim, Randall. 2022. 
[*Statistical Modeling: A Fresh Approach*](https://statistical-modeling.netlify.app/).

Pruim, R. (2021). [*Statistics for the Physical Sciences and Engineering*](https://rpruim.github.io/Engineering-Statistics/). 

Horton, N. J., Pruim, R., & Kaplan, D. T. (2015, November). 
[*A student’s guide to R*](https:// github.com/ProjectMOSAIC/LittleBooks/blob/master/StudentGuide/Studentguide2015-11-09.pdf). 

Pruim, R., Horton, N. J., & Kaplan, D. T. (2015, November). 
[*Start teaching with R*](https:// github.com/ProjectMOSAIC/LittleBooks/blob/master/Starting/MOSAIC-StartTeaching.pdf).



## Other Materials

* [![](images/integratedethicslabs-logo.png){fig-alt="Integrated Ethics Labs" height="50px" fig-align="left"}](https://integratedethicslabs.org)


## Courses 

I've taught a lot of different courses during my time at Calvin. Here's
a list. For some of the more recent ones you can click on the title of
the course to get to a course website.

-   CS 260 (Automata Theory)
-   CS 360 (Complexity and Computability)
-   Data 303 ([Applied Modeling and
    Visualization](https://rpruim.github.io/ds303/S22/)) \* Math 100
    (Mathematics in the Contemporary World)
-   Math 132 (Calculus for Management, Life, and Social Sciences)
-   Math 156 (Discrete Mathematics for Computer Science)
-   Math 171 (Calculus I)
-   Math 172 (Calculus II)
-   Math 221 (The Real Number System and Methods for Elementary School
    Teachers)
-   Math 232 (Engineering Mathematics)
-   Math 251 (Discrete Mathematics I)
-   Math 252 ([Discrete Mathematics
    II](https://rpruim.github.io/m252/S22/))
-   Math 312 (Logic, Computability, and Complexity)
-   Math 361 (Real Analysis)
-   Math 362 (Real Analysis II)
-   Math 381 (Mathematical Logic)
-   MGMT 535 (Statistical Analysis)
-   Stat 143 (Introduction to Probability and Statistics)
-   Stat 145 ([Biostatistics](https://rpruim.github.io/s145/F20/))
-   Stat 241 ([Engineering
    Statistics](https://rpruim.github.io/s241/W21/))
-   Stat 243 (Statistics)
-   Stat 341 ([Computational Bayesian
    Statistics](https://rpruim.github.io/s341/S21/))
-   Stat 343 ([Probability and
    Statistics](https://rpruim.github.io/s343/F21/))
-   Stat 343 (Mathematical Statistics)
-   Stat W82 ([Visualize This! with D3](https://rpruim.github.io/D3/)

I've also taught at some other places:

-   For The Institute for Statistics Education (statistics.com):
    Visualization in R with ggplot2

-   At University of Michigan: Biostatistics (for graduate students in
    public health)

-   At Boston University: Accelerated Intro Programming in C

-   At Providence College: Mathematics for the Liberal Arts