540—Computing in Statistics. (3) (Prereq: STAT 509 or STAT 515 with a grade of C or higher; knowledge of a programming language) An introduction to statistical packages such as R and SAS with special focus on data management and computing procedures such as Monte Carlo simulation.
Sample Course Homepage: Recent Semester
Usually Offered: Fall Semesters
Purpose: To help students learn computing skills that will be useful to them both in academic endeavors and as working statisticians. To introduce students to programming using the free software package R and the widely used commercial software SAS. Programming skills, rather than straightforward data analyses, are emphasized in this course.
The Little SAS Book: A Primer, 4th edition, by Delwiche and Slaughter, SAS Publishing, 2008.
Basics of R: A Primer, by Don Edwards (available for download)
|Objects in R; Inputting and Outputting Data in R||
|R Graphics, Functions, Arithmetic, Logicals,
Conditional Execution, Subsetting, Sorting, Iteration
|Graphics in R; Function Writing in R||
|Introduction to SAS; Reading and Writing Data||
|Working with Your Data; Sorting, Printing, Summarizing Data||
|Modifying and Combining Data Sets||
|MACRO Programming in SAS; PROC SQL||
The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.