CTS200-Statistical Design of Experiments for Bioscience

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Course Description

Design of experiment (DOE) techniques are used in a variety of experimental situations to collect and analyze data. In this course, principles of DOE, analytical tools, as well as experimental strategies such as screening designs, full and fractional- factorial designs such as Response surface methods (RSM) will be covered. The applications of these methodologies for optimizing responses and analyzing experimental parameters will be discussed in case studies, specifically for bioscience-related systems. Related statistical software tools such as JMPs will be introduced.

Grading Basis

MOP - Medical Option (Med-Ltr-CR/NC)

Min

1

Max

2

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No