GEOS285
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GEOS285 - Introduction to Python in Geosciences
Course Description
Many Earth and environmental scientists face challenges that are more easily addressed using computational techniques. This course will provide students with a skill set relevant to processing, analyzing, visualizing, and interpreting data from a variety of Earth and environmental science disciplines. Programming methods and data analysis will be performed using Python. No prior programming experience is required. Students will design and implement code to analyze data and will communicate results through technical reports and presentations. Course material will be drawn from problems in geomorphology, geophysics, hydrology, atmospheric science, and planetary science. Topics covered include conditional statements; loops; array operations; automated data analysis and visualization techniques; time-series analysis; working with geospatial data and climate model data; data uncertainty; and curve fitting.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Enrollment Requirements
015993
May be convened with
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Fall
Typically Offered Distance Campus
Not Offered
Typically Offered Online Campus
Not Offered
Typically Offered Phoenix Campus
Not Offered
Typically Offered Sierra Vista Campus
Not Offered
Typically Offered Community Campus
Not Offered