Geography (GEOG) Courses>Scientific Computing and Environmental Data Analysis

GEOG230 - Scientific Computing and Environmental Data Analysis

Description

An introduction to using computer programming to analyze climate data. Topics include fundamentals of programming, data visualization, analysis of spatial data, descriptive statistics, linear regression.

Units

1.5

Hours: lecture-lab-tutorial

3-0-2

Cross-listed courses

EOS230 - Scientific Computing and Environmental Data Analysis

Note(s)

  • Credit will be granted for only one of GEOG 230, EOS 230.

Prerequisites

  • Complete all of the following
    • Complete 1.5 units of:
      100 level MATH
    • Complete 1 of:
      • EOS110 - Oceans and Atmosphere (1.5)
      • EOS130 - Climate Change (1.5)
      • GEOG130 - Climate Change (1.5)
    • or permission of the department.

Course offered by

Department of Geography

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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