PLAS.3060 Methods of Experimental Analysis (Formerly 26.306)

Id: 004163 Credits: 3-3

Description

Methods for design and analysis of experiments provided in three course modules: (1) descriptive and inferential statistics for hypothesis testing: (2) analysis of variance and linear regression for model building; and (3) factorial, fractional factorial, and response surface design of experiments for decision support and optimization. Course incorporates project work with modern statistical programming. Meets Core Curriculum Essential Learning Outcome for Quantitative Literacy (QL) and Critical thinking and problem solving (CTPS).

Prerequisites

Pre-Req: MATH 1320 Calculus II.

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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.