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Course Criteria
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0.00 Credits
Credit will vary from 1 to 4 hours. Subject matter will vary within the department's field of study. Normally involves lecture, films, guest speaker, etc. A grade of "P" or "F" is given. No more than 6 hours of workshop may be counted toward a bachelor's degr
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0.00 Credits
Credit will vary from 1 to 4 hours. A general survey of select scientific topics.
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0.00 Credits
Credit will vary from 1 to 6 hours. Subject matter will vary within the department's field of study. Normally involves lecture, films, guest speaker, etc. A grade of "P" or "F" is given. No more than 6 hours of workshop may be counted toward a bachelor's degr
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3.00 Credits
Topics for this course include basic experimental statistics, methods of estimation, tests of significance, linear regression, and correlation. Credit may not be earned for both STAT 3103 and ECON 2173. Prerequisite(s): MATH 1453 or 1513.
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0.00 Credits
Credit will vary from 1 to 4 hours. Subject matter will vary within the department's field of study.
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3.00 Credits
Topics for this course include basic concepts of experiments and experimental error, analysis of variance of one-, two-, and three-way classification, and nonparametric statistics. Prerequisite(s): STAT 3103. Junior or senior standing.
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3.00 Credits
This course covers probability distributions, expected values, moments, sampling distributions, and point estimation. Prerequisite(s): MATH 2333.
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3.00 Credits
This course covers multivariate normal distribution, maximum likelihood estimators, interval estimation, test of hypothesis, linear regression, decision theory, sequential analysis, and distribution free methods. Prerequisite(s): STAT 4113.
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3.00 Credits
Topics for this course will include multiple regression, logistic regression, log linear models, survival analysis, and time series analysis. Data will be analyzed using SAS. Prerequisite(s): STAT 3103 with a minimum grade of "C". Junior or senior standing.
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3.00 Credits
This course covers generating functions, Markov chains, Classical probability theory, discrete sample spaces, combinatorial analysis, distributions, and random walks. Prerequisite(s): MATH 2333.
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