Description
Data Analysis
Designed to introduce the mathematically inclined student to the process of statistical investigation and the use of statistical software. Topics include visualization methods; basic probability; sampling; estimation and hypothesis testing; simple and multiple linear regression models; simple machine learning techniques; and linear time series models. Substantial projects using real-world data are required. Prerequisite: MATH 1117 or MATH 121, or satisfactory departmental placement, or MATH 181. Recommended prerequisite: CPTR 141. Offered even years.
Details
Grading Basis
A-F Grade
Units
4
Component
Lecture - Required
Offering
Course
MATH 215
Academic Group
General
Academic Organization
Mathematics
Campus
College Place
Enrollment Requirements
Prerequisite: MATH 117 or MATH 181