May be repeated to a maximum of 12 hours. 1-9 weeks residence. Maximum of nine weeks can be appplied for master's degree with thesis.

May be repeated indefinitely.

This course introduces the concepts of energy transport in biological systems including the study of thermodynamics, heat transfer, psychometrics, and fluid flow.

Introduction to statistics and statistical inference reasoning. Evaluation of common claims based on statistical constructs, hypothesis tests, margins of error, confidence intervals, and analysis of variation. Identification of possible statistical obstacles, such as confounding, missing data, and inappropriate randomness. Conceptual statistics will be emphasized. Special attention will be given to include biosystems engineering problems.

An introduction to the use of digital electronics and integrated circuits in solving biosystems engineering problems. Digital circuits, microprocessor concepts, computer interfacing, transducers, signal conditioning and control applications are discussed. Lecture, two hours; laboratory, two hours per week.

Student design teams evaluate and enhance design solutions, fabricate prototypes, execute performance tests, analyze results, and develop final design specifications. Oral and written reports are required.

Introduction to land and water resources and the engineering processes used to analyze and design infrastructure in watersheds. Soil water relations, evapotranspiration, precipitation, runoff, erosion, flow in natural waterways and through reservoirs, wetland and groundwater hydrology, and water quality are reviewed.

An intensive study of some phases of biosystems engineering in which the student is particularly interested. Approval of instructor is required. May be repeated to a maximum of six credits.

This course will introduce students to mathematical modeling of biological systems, both from a conceptual and methodological perspective. The art and science of developing a computer simulation model will be presented and supported by examples/exercises in MATLAB.

This course introduces students to the science and engineering of converting biorenewable resources into bioenergy and biobased products. Topics include: Defining the resource base; phsyical and chemical properties of biorenewable resoures; description of biobased products; methods of production for biorenewable resources.