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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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CS 700 - Quantitative Methods and Experimental Design in Computer Science

Credits: 3
Not Repeatable for Credit
Offered by Computer Science

Integrated treatment of models and practices in experimental computer science. Topics include scientific methods applied to computing, workload characterization, forecasting of performance and quality metrics of systems, uses of analytic and simulation models, design of experiments, interpretation and presentation of experimental results, hypothesis testing, and statistical analyses of data. Involves one or more large-scale projects.

Prerequisite(s): Admission to PhD program in Computer Science or Information Technology, and at least two 600-level courses offered by the Computer Science Department.
Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0

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CS 700 - Quantitative Methods and Experimental Design in Computer Science