2023-2024 University Catalog [ARCHIVED CATALOG]
|
MATH 240 - Computational Statistics
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. 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:
Prerequisites: or
Major/Minor Restrictions: None
Class Restriction: None
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
|
