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INTRODUCTORY DATA SCIENCE FOR THE AGRICULTURAL AND LIFE SCIENCES

BSE 380
Course Description

Agricultural and life scientists need to creatively apply physical, chemical, and biological principles to address technical, business, and environmental challenges. Many of these challenges involve numerical analyses, including the interpretation of large datasets. The fundamentals of computer coding using numerical software will be taught, using real-world data science challenges from the agricultural and life sciences.

Prerequisites

(CHEM 103 , CHEM 109 , or CHEM 115 ) and (MATH 112 , MATH 114 , 217 or placement into MATH 211 or MATH 221 )

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.5

0.52% from Historical

Completion Rate
91.67%

-1.12% from Historical

A Rate
62.5%

0.74% from Historical

Class Size
48

40.15% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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