ISE 202 - Design and Analysis of Engineering Experiments

3 units
Review of statistical inference and tests of hypotheses. Introduction to analysis of variance and covariance. Theory and applications of experimental designs for engineering problems. Random and systematic designs. Randomized blocks. Latin squares. Factorial and fractional factorial designs. Taguchi methods.

Satisfies GWAR: Graduation Writing Assessment Requirement.

Prerequisite(s): ISE 130.
Grading: Graded

Note(s): This course satisfies graduate-level GWAR in this master’s program.

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