MATH 240 - Computational Statistics with R

Provides a comprehensive introduction to the field of statistics and probability and the understanding of scientific programming and simulation. Students learn to clean, summarize, and analyze data in R, focusing on interpretation and extracting information. Coursework aims to expose students to the theory of probability and statistics through computational exercises and topics that provide insight into the essential theories of probability, random variables, expectations, and statistical inference. The required lab portion of the course enables students to implement these ideas in R by exploring real data from several disciplines.

Credits: 1.0
Corequisite:

MATH 240L

Prerequisites:

MATH 161

or equivalent experience in a secondary school calculus course.
Major/Minor Restrictions: None
Restrictions: Not open to students who have taken MATH 354
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts Practices: Quantitative and Algorithmic Reasoning and The Process of Writing
Core Component: None

Click here for Course Offerings by term