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Course Criteria
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Fundamentals of Modern Statistics II. Prerequisites: STAT 330 or STAT 401 or equivalent. Continuation of STAT 440. Principles of statistical inference, categorical data analysis, one and two-way anova, multiple linear regression, nonparametric methods, bootstrap methods. Examples from a wide variety of disciplines. Statistical software is used. 3 hours lecture.
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Introduction to Mathematical Statistics. Prerequisites: MATH 340 and either STAT 330 or STAT 401. Develops statistical methods from probability theory. Topics discrete and continuous probability distributions, estimation, inference and hypothesis testing. 3 hours lecture.
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Introduction to Statistical Data Mining. Prerequisites: STAT 330 or STAT 401 or equivalent. Introduction to the concepts and applications of a variety of data-mining methods. Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown patterns in the data. Statistical techniques covered include classification and regression trees, predictive modeling, and unsupervised learning. Hands-on applications to data sets from diverse fields. Statistical software is used. 3 hours lecture.
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Statistical Genomics. Prerequisites: BIOL 380 and STAT 330 or STAT 401, or equivalent. Analysis of discrete data illustrated with genetic data on morphological characters, allozymes, restriction fragment length polymorphisms and DNA sequences. Maximum likelihood and Bayesian estimation including iterative procedures. Numerical resampling and bootstrapping. Development of statistical techniques for characterizing genetic disequilibrium and diversity. Locating genes with markers. Cross listed with Biology and Molecular Bioilogy BIOL 487. 3 hours lecture.
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1.00 - 3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 1.00 to 3.00 Topics in Statistical Science. Prerequisites: STAT 330 or STAT 401 and department approval. Guided study of selected topics in statistical science such as exploratory data analysis, applied multivariate methods, statistical quality control, design of experiment. May be repeated once for a maximum of 6.0 credits.
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1.00 - 3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 1.00 to 3.00 Undergraduate Research in Statistical Science. Prerequisites: STAT 442 and departmental approval. Individual research in an area of statistical science agreed upon by the student and instructor. The results of the research will be the basis of a seminar or colloquium to be given by the student. May be repeated five times for a total of six credits. Students must not accumulate more than six credits total in courses MATH 497, MATH 498, STAT 495, STAT 497.
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Biostatistical Methods for Research Workers I. Prerequisites: Permission of graduate program coordinator. Planning effective observational and experimental research, data collecton and summarization, significance testing and p-values, t-test, chi-square, regression and correlation, use of statistical software, reading statistical results in the literature. Required course for the MPH degree. 3 hours lecture.
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Applied Statistics. Prerequisites: STAT 330 or STAT 443 and permission of graduate program coordinator. Review of estimation and hypothesis testing for one sample and two sample problems; introduction to non-parametric statistics and linear regression; fundamental principles of design, completely randomized design, randomized block design, latin square, and 2 factor design. 3 hours lecture.
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Statistical Theory I. Prerequisites: STAT 541 and permission of graduate program coordinator. Discrete and continuous probability distributions, multivariate distributions, sampling theory, transformations, Chi-squared, 'F' and 't' distributions. Point estimation, properties of estimators, sufficiency, exponential families, interval estimation, hypothesis testing, power, Neyman-Pearson Lemma, likelihood ratio tests. The impact of the above theory on areas such as regression analysis, analysis of variance and analysis of discrete data. 3 hours lecture.
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3.00 Credits
College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Statistical Theory II. Prerequisites: STAT 542 and permission of graduate program coordinator. Discrete and continuous probability distributions, multivariate distributions, sampling theory, transformations, Chi-squared, 'F' and 't' distributions. Point estimation, properties of estimators, sufficiency, exponential families, interval estimation, hypothesis testing, power, Neyman-Pearson Lemma, likelihood ratio tests. The impact of the above theory on areas such as regression analysis, analysis of variance and analysis of discrete data. 3 hours lecture.
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