CTP 210 - Statistical Programming Using R

4 credit hours - Three hours of lecture and two hours of laboratory weekly; one term.
Install and configure the statistical programming environment. Read data into R, access R packages, write and use R functions, and organize and comment R code. Apply statistical computing in the R programming language.

Prerequisite(s): CTP 160 and either MAT 135 , MAT 223 , MAT 235, or ECO 232 ; or permission of Computer Science Academic Chair.

Course Outcomes:

Obtain and evaluate input including file I/O
Describe and use data types and subset R objects
Analyze and solve problems using control structures
Define and use functions on scoping rules, dates and times, R loop, and debugging
Simulate random number and linear model, and use R profiler
Describe the basic ways of collecting and sharing data, and basic exploratory techniques for summarizing data
Obtain hands-on experience through R programing