Probability and Statistics for Computer Science

Catalog description

Project course in which students work as leaders or members of project teams. Individual oral presentations and written reports. Overview of applicable discrete and stochastic foundations: combinatorics, probability, and Monte Carlo. Introduction to modeling formalism with examples from numerical and logical processes. Simulation languages such as MATLAB simulation toolbox and GPSS are demonstrated. Student projects entail simulations of physical or social science problems. Emphasis on student presentations with statistical analysis and visual summaries.