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MATH-510 Mathematical and Statistical Computing
Fall only
The goal of this course is to provide students with programming background sufficient for graduate level study in mathematics and statistics. The course gives an introduction to SAS, R and Matlab, in this order.
R and SAS are the statistical packages most widely used by practicing statisticians. This portion of the course will be structured around statistical methods and examples will be worked out using both computing environments. Statistical topics to be covered include data management, simulation, descriptive statistics, graphical displays, hypothesis testing, correlation, regression models, and simple multivariate analysis methods.
The introduction to Matlab will cover the basic structure of the language, commands, M-files, function, loops, and graphing. Mathematical topics will be drawn from numerical linear algebra and selected topics in analysis as time permits.
Credits: 3
Prerequisites: Linear Algebra
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