An academic internship is a supervised career related work experience that allows graduate students to apply classroom learning to real-world situations. Internships offer students an opportunity to set learning goals, obtain valuable professional-level experience, and reflect on what they learned from the experience.

An academic internship is a supervised career related work experience that allows graduate students to apply classroom learning to real-world situations. Internships offer students an opportunity to set learning goals, obtain valuable professional-level experience, and reflect on what they learned from the experience.

Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.

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.

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.

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.

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.

Fundamental principles of steady state and transient heat and mass transfer in biosystems engineering. Heat transfer will include conduction, convection, and radiation. Mass transfer will include liquid-gas, solid-gas, and solid-liquid equilibrium scenarios, as well as convective, diffusive, and osmotic mass transfer. Governing equations and boundary conditions for both heat and mass transfer will be included with special attention to industrial, biological, and bioenvironmental problems.