BIOENG 0053 - WORKSHOP IN STATISTICAL DESIGN

Minimum Credits: 1
Maximum Credits: 1
Engineers use experiments for a variety of reasons, some of which are: determine whether one treatment is better than an alternative; determine parameters in a descriptive model; and determine accurate physical properties of a material. Simply put, experiments take time and can be expensive. Statistical design of experiments (DOE) is a tool to maximize the amount of relevant information gained while minimizing the amount of experimentation required to obtain that information. After discussion of general experimental design principles, Design-Ease® software is used to introduce students to DOE through a series of workshops that highlight the importance of DOE in engineering practice. The course consists of weekly practice assignments that must be completed to receive a satisfactory (S) grade. Course Objectives: Upon completing the course, the student should be able to design an experiment using statistical design of experiment principles to maximize knowledge gained from the experiment.
Academic Career: Undergraduate
Course Component: Workshop
Grade Component: Satisfactory/No Credit
Course Requirements: PREQ: ENGR 0020 or BIOENG 1000; PLAN: Bioengineering

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