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Course Criteria
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3.00 Credits
Description: Topics selected from: iteration of real and complex functions, population models, qualitative theory of differential equations, fractals and dimension, topological and metric properties of systems, and applications. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences
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3.00 Credits
Description: Supervised study and research project incorporating mathematical and computational models for topics such as: pattern detection and pattern matching in DNA sequences; population growth and the dynamics of epidemics. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences
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3.00 Credits
Description: 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences
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3.00 Credits
Description: Supervised study to develop, test, and implement an interdisciplinary instructional module for use in a high school curriculum. Module incorporates mathematical and computational models for topics such as: pattern detection and pattern matching in DNA sequences; population growth and the dynamics of epidemics. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences
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3.00 Credits
Description: Probability, random variables, univariate and multivariate distributions, mathematical expectation, Central Limit Theorem, Law of Large Numbers. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences
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3.00 Credits
Description: Sampling, estimation, hypothesis testing, decision theory, least squares, regression, analysis of variance, Bayesian statistics. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences Prerequisites: Graduate Arts and Sciences level MAT 8400 Minimum Grade of C
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3.00 Credits
Description: Linear regression, correlation, multiple regression, weighted least squares, residuals and influence diagnostics, model building, variable selection, nonlinear regression. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences Prerequisites: Graduate Arts and Sciences level MAT 7405 Minimum Grade of C
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3.00 Credits
Description: Multivariate normal distribution, principal component analysis, Hotelling T2 test, discriminant function analysis, multivariate analysis of variance, covariance and repeated measurements, canonical correlation analysis, factor analysis, claffication and cluster analysis. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences Prerequisites: Graduate Arts and Sciences level MAT 7405 Minimum Grade of C
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3.00 Credits
Description: Analysis of general linear models, fixed and random effects, variance components, unbalanced data. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences Prerequisites: Graduate Arts and Sciences level MAT 7405 Minimum Grade of C
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3.00 Credits
Description: Estimation, maximum likelihood, weighted least squares, log- linear models, logistic regression. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences Prerequisites: Graduate Arts and Sciences level MAT 7405 Minimum Grade of C
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