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2022 September Semester
Sep 30, 2022
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Information Select the desired Level or Schedule Type to find available classes for the course.

ENSC 250 - Introduction to Environmental Data Analysis
This course introduces the principles and practice of developing computer programs to analyze and visualize environmental data. Topics include input and output of data, formatting data, accessing and using package libraries, writing functions, profiling and documenting code, and developing algorithms for environmental data analysis. Example datasets and problems from the geophysical and environmental sciences provide working examples. This course consists of lectures and labs with an emphasis on the development of practical skills in the lab.
Credits: 0.000 OR 2.000

Levels: Undergraduate
Schedule Types: Lecture, Self-Directed, Final Exam, Laboratory


Information

Green prerequisites must be completed before registering in this course

Red prerequisites can be taken concurrently with this course

Magenta co-requisites must be taken at the same time as this course

Prerequisites:
( STAT 240 Minimum Grade of D- or STAT 371 Minimum Grade of D- ) and ( MATH 100 Minimum Grade of D- or MATH 101 Minimum Grade of D- ) or MATH 152 Minimum Grade of D-

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Release: 8.7.2.4