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Graduate Courses (down to undergrad listing)


CourseNameDescriptionAudience
ST 501Fundamentals of Statistical Inference IFirst graduate theory course - masters seqMasters students in Statistics and graduate students from other disciplines, such as Financial Mathematics, Economics, and Bioinformatics, that require advanced knowledge in Probability and Statistics.
ST 502Fundamentals of Statistical Inference II2nd course in statistical theory - masters seqMasters students in Statistics and graduate students from other disciplines, such as Financial Mathematics, Economics, and Bioinformatics, that require advanced knowledge in Probability and Statistics.
ST 503Fundamentals of Linear Models and RegressionLinear models theory and regressionST 503 is designed for students seeking a Masters of Statistics This course might also be taken by students from other disciplines who currently take ST 705, such as Financial Mathematics and Bioinformatics. The main pedagogical difference between the new ST 503 and ST 705 will be a de-emphasis on proofs and a new emphasis on real examples and data analysis to supplement the theory.
ST 505Applied Nonparametric StatisticsApplied nonparametric statisticsSophomore or higher students in Statistics and related fields
ST 506Sampling Animal PopulationsFinite sampling of animal populationsGraduate students in the Life Sciences, Marine, Earth and Atmospheric Sciences, Veterinary Science and the College of Natural Resources. The course is also accessible to advanced undergraduate students in ecological disciplines and statistics.
ST 507Statistics For the Behavioral Sciences IFirst course in statistical methodsGraduate students in the social sciences
ST 508Statistics for the Behavioral Sciences IISecond course in statistical methodsPhD students in the Social Sciences
ST 511Experimental Statistics for Biological Sciences IFirst course in statistical methodsGraduate students in the biological sciences and related fields
ST 512Experimental Statistics for Biological Sciences IISecond course in statistical methodsGraduate students in the life sciences. (Note that one section each Fall is restricted for Statistics graduate students.)
ST 513Statistics for Management IFirst course in statistical methodsGraduate students in any field.
ST 514Statistics for Management and Social Sciences II2nd course in statistical methodsGraduate students in any field.
ST 515Experimental Statistics for Engineers IProbability and distribution theory for engineersGraduate students in engineering disciplines
ST 516Experimental Statistics for Engineers IIInference and methods for engineersGraduate students in engineering disciplines
ST 517Statistical Methods I (currently offered at ST 590 Online)First course in statistical methods for the Masters in Statistics program and some graduate certificate programs.Graduate students in all fields. This course is online only and is offered as a first course in statistics. Credit is not given for this course and ST 511 or ST 513 or ST 515. This course does NOT count as an elective towards a degree or a minor in Statistics
ST 518Statistical Methods II (under development)Second course in statistical methods for the Masters in Statistics program.Primarily for Masters students in Statistics
ST 519Teaching and Learning Statistical ThinkingTeaching statistical thinkingGraduate students in statistics and mathematics education and related fields who are interested in issues of teaching and learning statistical ideas in grades 6-12 and collegiate-level introductory statistics. Course is cross-listed as EMS 519.
ST 520Statistical Principles of Clinical Trials and EpidemiologyIntroduction to clinical trials - stat gradsGraduate students interested in biostatistics
ST 524Statistics In Plant ScienceStatistical methods for plant science dataGraduate students in Crop Science, Horticulture, Forestry, and related fields
ST 533Applied Spatial StatisticsApplied spatial statistics with emphasis on data analysis.Masters students in Statistics and graduate students in all fields
ST 534Applied Time Series AnalysisApplied time seriesGraduate students in Statistics and in other quantitative fields who plan to work with time series data
ST 535Statistical Methods for Quality and Productivity ImprovementQuality control - stat gradsStatistics and engineering graduate students
ST 537Applied Multivariate and Longitudinal Data AnalysisApplied multivariate data analysis and longitudinal data analysisMS and PhD students (both statistics and non-stat majors)
ST 540Applied Bayesian AnalysisGentle introduction to Bayesian analysis - dual with ST 440Graduate students seeking to learn to use Bayesian methods
ST 542Statistical Practice (offered as ST 590 in Spring 2016)Introduction to Consulting PracticeMasters students in Statistics
ST 555Statistical Programming IIntroduction to SASGraduate students seeking an introduction to SAS
ST 556Statistical Programming IISAS Programming IIGraduate students seeking advanced SAS skills and certification.
ST 557Using Technology to Teach StatisticsIntroduction to technology for teaching statisticsInstructors of statistics at all levels, especially those at the community college and university level; graduate students in statistics and related fields.
ST 562Data Mining with SAS Enterprise MinerIntroduction to Data Mining techniques using SAS Enterprise MinerGraduate Students in all fields
ST 563Introduction to Statistical LearningThe focus of this course is on regression and classification methods for supervised and unsupervised learning.Graduate students in all fields
ST 564Statistical Thinking and Big DataMethods for dealing with large data setsGraduate students in Statistics or related fields
ST 701Statistical Theory IFirst graduate theory course - PhD seqPhD students in Statistics and related fields
ST 702Statistical Inference II2nd course in statistical theory - PhDPhD students in Statistics and related fields
ST 705Linear Models and Variance ComponentsLinear models - PhD seqPhD students in Statistics and other graduate students needing a thorough understanding of the theory of linear models.
ST 706Nonlinear ProgrammingNonlinear programmingGraduate students in Statistics, Operations Research, Engineering, and Mathematics
ST 708Applied Least SquaresApplied regression and diagnosticsGraduate Students in Statistics and related fields
ST 711Experimental DesignIntro to Design of Experiments - open to non-majorsGraduate students from any discipline wanting to design experiments.
ST 715Theory of Sampling Applied To Survey DesignFinite population samplingGraduate students in any field.
ST 721Genetic Data AnalysisCategorical data analsyis in genetic settingsMost students are from Statistics, Genetics and Bioinformatics
ST 732Longitudinal Data AnalysisThe course will begin with a conceptual framework for thinking about longitudinal data, followed by a brief review of "classical" methods. The rest of the course will focus on modern methods.PhD students in statistics and related fields. The course will count toward ST PhD electives. Background in the material in ST 702, Statistical Theory II (Inference) and ST 705, Linear Models and Variance Components, will be helpful.
ST 733Spatial StatisticsSpatial statistics, theory and methodsPhD students in Statistics and related fields
ST 740Bayesian InferenceBayesian analysis for Stat PhDPhD students in Statistics and related fields
ST 744Categorical Data AnalysisCategorical data analysis - stat gradsGraduate students in Statistics and related fields
ST 745Applied Survival AnalysisIntroduction to censored data analysis for stat gradsPhD Students in statistics and related fields
ST 746Intro. to Stochastic ProcessesStochastic processes using measure theoryBMA, OR graduate students and an elective for ST majors
ST 750Introduction to Econometric MethodsProbability and statistics for econometricsGraduate students in Statistics or Economics
ST 751Econometric MethodsFirst course in econometricsPhD Students in Statistics and Economics
ST 755Advanced Analysis of Variance and Mixed modelsMixed modelsPhD students interested in mixed model methodology
ST 757Statistics for Molecular Quantitative GeneticsAdvanced statistical analysis of genetic dataST and BI graduate students who are pursuing research in statistical genetics and bioinformatics.
ST 758Computing for Statistical ResearchComputing for statistical research - PhD seqPhD students in Statistics and related fields
ST 772Biomathematics IIStochastic models in biological researchGraduate students in biology, mathematics, statistics and related fields
ST 773Stochastic ModelingContinuous time stochastic models in biological researchPhD requirement for BMA PhD students, elective for MA/ST/OR students
ST 779Measure Theory and Advanced ProbabilityIntroduction to probability and measure theoryPhD students in Statistics and related fields
ST 793Advanced Statistical InferenceAdvanced inference - PhD seqPhD students in Statistics and related fields
ST 810Covers a number of Pass/Fail special topics courses offered each semester.A variety each semesterPhD students in Statistics and related fields



Undergraduate Courses (up to grad listing)


CourseNameDescriptionAudience
ST 101Statistics by ExampleIntroduction to statistical thinkingFreshman or higher students
ST 114Statistical ProgrammingIntroduction to Statistical ProgrammingFreshman or higher students
ST 305Statistical MethodsStatistical methods - stat majorsUndergraduate Statistics majors and minors
ST 307Introduction to Statistical Programming - SASIntroduction to SASUndergraduates in all quantitative fields. Required for Statistics majors.
ST 308Introduction to Statistical Programming - RIntroduction to the R programming language.Undergraduates in all quantitative fields. Required for Statistics majors.
ST 311Introduction to StatisticsGentle non-calculus intro courseA broad introductory course for a variety of majors. Many degree programs require ST311. Almost all majors are represented in ST311 except College of Engineering and College of Business.
ST 312Introduction to Statistics IIGentle non-calculus 2nd course in statistical inferenceA broad selection of majors from across the campus.
ST 350Economics and Business StatisticsIntro for business studentsUndergraduate majors in the Poole College of Management
ST 370Probability and Statistics for EngineersCalculus-based 1-semester intro for engineersSophomores, juniors and seniors in engineering disciplines
ST 371Introduction to Probability and Distribution TheoryCalculus-based first course for engineersFreshman or higher students in the physical sciences, computer science, and engineering. ST 371/372 can be used for one track in the undergrad statistics minor.
ST 372Introduction to Statistical Inference and RegressionCalculus-based 2nd inference course for engineersSophomores, juniors and seniors in engineering disciplines
ST 401Experiences in Data AnalysisSummer Institute for Training in Biostatistics (SIBS)Freshman and higher students
ST 405Applied Nonparametric StatisticsApplied nonparametric statisticsSophomore or higher students in Statistics and related fields. (In the same classroom as ST 505, but with some differences in grading)
ST 421Introduction to Mathematical Statistics IFirst theory courseSophomore or higher students in Statistics and related fields
ST 422Introduction to Mathematical Statistics II2nd course in statistical theoryUpper Division undergraduates majoring in Statistics, Graduate Students in Economics or seeking graduate minor degrees in statistics.
ST 430Introduction to Regression AnalysisIntroduction to regression analysisSophomore or higher students in Statistics and related fields
ST 431Introduction to Experimental DesignDesign of experiments - stat majorsPrimarily undergraduates majoring or minoring in Statistics
ST 432Introduction to Survey SamplingFinite population sampling - stat majorsStatistics majors and minors.
ST 433Applied Spatial StatisticsApplied spatial statistics with emphasis on data analysis.Undergraduate Statistics majors and minors. (In the same classroom as ST 533, but with some differences in grading)
ST 434Applied Time Series AnalysisApplied time seriesUndergraduate Statistics majors and minors. (In the same classroom as ST 534, but with some differences in grading)
ST 435Statistical Methods for Quality and Productivity ImprovementQuality control - stat majorsStatistics majors and minors
ST 437Applied Multivariate and Longitudinal Data AnalysisApplied multivariate data analysis and longitudinal data analysisUndergraduate Statistics majors and minors. (In the same classroom as ST 537, but with some differences in grading)
ST 440Applied Bayesian AnalysisGentle introduction to Bayesian analysis - dual with ST 540Graduate students seeking to learn to use Bayesian methods
ST 445Introduction to Statistical Computing and Data ManagementIntroduction to SASSophomore or higher students in Statistics and related fields
ST 491Statistics in PracticePractical data analysis with real problems.Statistics Majors