ATMS 706 - Applied Data Analysis

(3 units)

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.

Prerequisite(s): MATH 285 AND PHYS or CHEM 100-level or higher, scientific programming experience

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall - Even Years

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. proficiency in application of numerical methods to solve practical problems in atmospheric science.
2. competence in using statistical analysis to form conclusions regarding physical relationships.

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