CPSC 441
Fall 2020 All Classes
All Classes
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.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
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71637
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Online Lab
Online Lecture
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A
A
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10:00AM
-11:50AM
ARRANGED
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F
n.a.
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n.a.
n.a.
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Bonfim Fernandes, S
Bonfim Fernandes, S
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