Detailed Course Information |
2022 September Semester
Apr 26, 2024 |
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| ENSC 250 - Introduction to Environmental Data Analysis | ||
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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
( 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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