STAT 486/586 Introduction to Statistical Computing

This website is designed to host course material for STAT 486/586 Introduction to Statistical Computing at Iowa State University.

Relevant course pages

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Textbook

The required textbook for this course is

• R for Data Science

Additional free textbooks

• R Programming for Data Science
• Hands on Programming with R
• OpenIntro Statistics - background material

Software

We will be using the Statistical Software R. I will be using RStudio as the interface to R. Although both will be available on lab computers, I suggest you install R and RStudio on your own laptop or desktop (or both).

Install links:

• R
• RStudio

Course Description

Modern statistical computing. Topics may include: data management; spread sheets; verifying data accuracy; transferring data between software packages; data and graphical analysis with statistical software packages; algorithmic programming concepts and applications; simulation studies and resampling methods; software reliability; statistical modeling and machine learning.

Course Objectives

Prerequisite

The prerequisite for the course is previous enrollment in one of the following statistics (STAT) courses: 301, 326, 401, or 587.

Schedule

Week|Topic|Reading

1|Review|Open Intro (entire book) 2|Visualization|R4DS Ch1-3

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.