Mathematics for Agricultural and Applied Economics
Covers optimization, linear algebra, and statistics for agricultural economics.
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Course map(ECON 101, 111,A A E 101, or 215 prior to Fall 2024) and (MATH 211, 217, or 221) or graduate/professional standing
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The fundamental mathematics and statistics necessary for the study of quantitative methods in agricultural and applied economics (AAE). Topics include the mathematics of optimization and its role in basic welfare theory and consumer demand; linear and matrix algebra and their application in both modeling consumer behavior and the statistical analysis of models; and the fundamentals of statistical analysis relevant to econometric analysis, including probability theory, sampling distributions and statistical inference.
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