Courses

This course explores applications of statistical methods for making interpretations include sampling and randomization, correlation and regression, methods of Equivalent: STAT 5375.

Statistical principles and methods in analyzing agricultural and economic data to solve Provides a basic background in statistical analysis and related computer applications.

LAB. 3. Materials selection and construction procedures for carpentry, concrete, masonry, electricity, plumbing, and metal fabrication.

This course introduces principles and practices associated with structural components, selection, materials of construction, heat and moisture control, and the environmental issues of waste management systems; a problem solving course. Prerequisites: AG 2373 with grade of "C" or better and [MATH 1315 or MATH 1319 or MATH 2321 or MATH 2417 or MATH 2471] with grades of "D" or better.

Students explore functional requirements of agricultural buildings; valuation, buildings; planning and designing major service and processing buildings. Topics and environmental controls. Junior standing.

Students examine advanced agriculture and construction machinery technology, machinery in real-world scenarios. Emphasis will be given to safe machinery

Focuses on economic principles as applied to agriculture through price discovery with producer supply and consumer demand, governmental policies, rural development, and resource management. (SS1)

Focuses on economic principles and decision-making by consumers, firms, and government with emphasis on their application to the food, fiber, and natural resource sectors of the economy. This is a Statewide Guaranteed Transfer course in the GT-SS1 category.

Focuses on economic principles and decision-making by consumers, firms, and government with emphasis on their application to the food, fiber, and natural resource sectors of the economy. This is a statewide Guaranteed Transfer course in the GT-SS1 category.

Focuses on economic principles and decision-making by consumers, firms, and government with emphasis on their application to the food, fiber, and natural resource sectors of the economy.