Statistical Design of Experiments for Semiconductor Manufacturing
NONE 486 / 586 (3)
Essential statistical tools for the collection, analysis, and interpretation of data, as applied to the design and control of processes for semiconductor manufacturing. Basic statistical concepts; simple comparative experiments; analysis of variance; randomization, replication and blocking; full-factorial, fractional factorial, response-surface, nested and split-lot designs, utilization of RS/1 software.
Prerequisites / Corequisites