CPSC 441

fall 2020
 
All Classes
Introduction to R Programming
Show Final Exam Schedule

Credit: 2 hours.

Big data and statistical analyses are becoming ever more important in scientific research, as is the ability to work with statistical programming languages like R. This course covers concepts including basic numerical applications of R, R syntax, types of data arrays, creating graphics in R, recursive statements, and creating simple functions. Students are not required to have any previous exposure to R or other programming languages prior to enrolling in the course.

2 undergraduate hours. 2 graduate hours. Prerequisite: MATH 112 or equivalent, an introductory statistics course, and junior standing.

Closed
Section Status Closed
Open
Section Status Open
Pending
Section Status Pending
Open (Restricted)
Section Status Open (Restricted)
Unknown
Section Status Unknown
Section Status updates every 10 minutes.
Detail Status CRN Type Section Time Day Location Instructor