Catalog Description: Performance indices. Evaluation techniques. Measurement: instrumentation, design of experiments, interpretation of results. Simulation modeling: simulator design, model calibration, statistical analysis of output data. Introduction to analytic modeling. Workload characterization. Tuning, procurement, and capacity planning application. Program performance evaluation. File and I/O system optimization. CPU Scheduling and architecture performance analysis.

Units: 3

Prerequisites: 162 and Statistics 5.

Fall: 3 hours of lecture per week
Spring: 3 hours of lecture per week

Grading basis: letter

Final exam status: No final exam

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