Overview
Description
Philosophy of data analysis, statistical critical thinking, exploratory data analysis, regression, multivariate methods, spatial and time series analysis, randomization, bootstrap, Monte Carlo methods, statistical graphics.
Requirements
Prerequisites
- PHYS or CHEM 100-level or higher
- scientific programming experience
MATH 285
Original catalog text
Prerequisites
Prerequisite(s): MATH 285 AND PHYS or CHEM 100-level or higher, scientific programming experience
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall - Even Years
Terms
fall
Attributes
Standard
Learning Outcomes
- proficiency in application of numerical methods to solve practical problems in atmospheric science.
- competence in using statistical analysis to form conclusions regarding physical relationships.