# STAT 330 Probability and Statistics for Computer Science

This website is designed to host course material for STAT 330 - Probability and Statistics for Computer Science at Iowa State University.

- Instructor: Jarad Niemi (niemi@iastate.edu, @jaradniemi)
- TA: Yifan Wang (wangyf@iastate.edu)

This course meets

- MWF 3:20-4:10 @ Mol-Bio 1414

Office hours are

- Instructor: TBD on Zoom
- TA: TBD

## Textbook

The optional textbook for this course is

Here are some free resources that can be used:

- OpenIntro Statistics
- Online Statistics Education
- R for Data Science
- Data Camp
- Introduction to R for Data Science
- Introduction to Linear Regression Analysis (5) by Montgomery, Peck, and Vining

Other resources:

- Coursera Data Science Specialization
- The Statistical Sleuth
- Data Collection and Analysis
- Data Analysis for Scientists and Engineers
- An Introduction to Statistical Learning

## Software

No software is required for this course, but the instructor will use the Statistical Software R when demonstrating concepts in class. The instructor will be using RStudio as the interface to R.

Install links:

## Course Description

Topics from probability and statistics applicable to computer science. Basic probability; Random variables and their distributions; Stochastic processes including Markov chains; Queuing models; Basic statistical inference; Introduction to regression.

## Prerequisite

MATH 166

## Q&A

Please use the Canvas discussion forum.

## Center for Excellence in Learning and Teaching Recommendations

This course abides by the Center for Excellence in Learning and Teaching Recommendations.