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RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES

ATMOCN 573
Course Description

Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.

Prerequisites

(MATH 234 and COMPSCI 220 ) or graduate/professional standing

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.68

4.46% from Historical

Completion Rate
100%

No change from Historical

A Rate
63.16%

37.46% from Historical

Class Size
19

28.38% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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