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Course Criteria
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3.00 Credits
Description: Completely randomized, randomized block, latin square, nested, split plot, balanced incomplete block and crossover designs, factorials, systems of confounding, fractional factorials and response surface designs. 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: Applications of regression analysis, analysis of variance, multivariate data analysis, presentation of results, statistical graphics, interpretation of results, issues relevant to the practice of statistical consulting. Analysis of a selected dataset, with written report and accompanying presentation required. Must have completed 24 credits in the Applied Statistics Program. 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: Deterministic mathematical models, including linear programming, integer programming, inventory, transportation and assignment problems, networks and flows, nonlinear programming and dynamic programming with an emphasis on principles and techniques. 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: Model construction, Markov chains, game theory, networks and flows, growth processes and models for epidemics and queues with an emphasis on model construction. 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: Industrial applications of statistical techniques, Deming's 14 points, Ishikawa's charting techniques, control charts for attributes and variables, acceptance sampling, military standards, process capability studies, introduction to Taguchi designs. 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: Frequency domain approaches to the analysis of time series, autoregressive models, forecasting. 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 survival of lifetime data; life tables and Kaplan-Meier estimation, survival analysis with covariates, Cox proportional hazard models. 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: Basic principles of clinical trials, rationale, history, organization and planning, randomization and ethical issues, sample size determination, study designs: parallel, crossover, repeated measurements, statistical analysis of clinical trials data, interim analyses. 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: One sample rank tests, estimates and confidence intervals, paired replicates, two sample rank tests, nonparametric correlation and regression techniques. 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: Sampling and survey methodology, basic sampling theory, random and stratified sampling, systematic sampling errors, estimation procedures. 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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