Statistics  STAT
The information below lists courses approved in this subject area effective Spring 2015. Not all courses will necessarily be offered these terms. Please consult the Schedule of Classes for a listing of courses offered for a specific term.
500level courses require graduate standing.
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101
Introduction to Statistics 4 hours.
Applications of statistics in the real world, displaying and describing data, normal curve, regression, probability, statistical inference, confidence intervals and hypothesis tests. Credit is not given for STAT 101 for majors in Mathematics & Computer Science, Mathematics, and Teaching of Mathematics. Credit is not given for STAT 101 if the student has credit for STAT 130. Extensive computer use required. This course is offered in both a blended and traditional format. If the section is marked "BlendedOnline and Classroom," use of a computer and internet access is required. Blended sections require students to do some of their coursework online. A highspeed connection, while not required, is strongly suggested. Prerequisite(s): Satisfactory grade in MATH 090, or appropriate score on the Department placement test, or consent of the instructor.
130
Introduction to Statistics for the Life Sciences 4 hours.
Basic concepts and methods of statistics with illustrations from different areas of the life sciences; graphical and summary representations, probability, random variables, normal distribution, estimation and tests of hypotheses, t, F and chisquare. Credit is not given for STAT 130 if the student has credit for STAT 101. Extensive computer use required. Prerequisite(s): MATH 121.
381
Applied Statistical Methods I 3 hours.
Graphical and tabular representation of data; Introduction to probability, random variables, sampling distributions, estimation, confidence intervals, and tests of hypotheses. Includes SAS and SPSSX applications. Prerequisite(s): Grade of C or better in MATH 210; or approval of the department.
382
Statistical Methods and Computing 3 hours.
Statistical computation with the SAS and R software packages: data structure, entry, and manipulation; numerical and graphical summaries; basic statistical methods; select advanced methods. Prerequisite(s): STAT 381.
401
Introduction to Probability 3 OR 4 hours.
Probability spaces, random variables and their distributions, conditional distribution and stochastic independence, special distributions, sampling distributions, limit theorems. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in MATH 210; or approval of the department.
411
Statistical Theory 3 OR 4 hours.
Estimation, tests of statistical hypotheses, best tests, sufficient statistics, RaoCramer inequality, sequential probability ratio tests, the multivariate normal distribution, nonparametric methods. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 401.
416
Nonparametric Statistical Methods 3 OR 4 hours.
Distribution free tests for location and dispersion problems, oneway and twoway layouts, the independence problem, regression problems involving slopes, detecting broad alternatives, resampling methods. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 381 or STAT 411.
431
Introduction to Survey Sampling 3 OR 4 hours.
Simple random sampling; sampling proportions; estimation of sample size; stratified random sampling; ratio estimators; regression estimators; systematic and cluster sampling. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 411 or STAT 481.
451
Computational Statistics 3 OR 4 hours.
Modern computationallyintensive statistical methods including Monte Carlo integration and simulation, optimization and maximum likelihood estimation, EM algorithm, MCMC, sampling and resampling methods, nonparametric density estimation. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): STAT 411.
461
Applied Probability Models I 3 OR 4 hours.
Computing probabilities and expectations by conditioning, Markov chains, ChapmanKolmogorov equations, branching processes, Poisson processes and exponential distribution, continuoustime Markov chains, reversibility, uniformization. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 401.
471
Linear and NonLinear Programming 3 OR 4 hours.
Linear programming, simplex algorithm, degeneracy, duality theorem sensitivity analysis, convexity, network simplex methods, assignment problems. Constrained and unconstrained minima. QuasiNewton methods. Ellipsoidal methods of Kachian. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in MATH 310.
473
Game Theory 3 OR 4 hours.
Introduction to the basic ideas of game theory. Static and dynamic games; mixed strategies, imperfect information; economic, political and biological applications. Same as ECON 473. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): STAT 381; or ECON 270; or equivalents.
475
Mathematics and Statistics for Actuarial Sciences I 3 OR 4 hours.
Financial mathematics as it pertains to the valuation of deterministic cash flows. Basic concepts and techniques regarding the theory of interest. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Math 210.
481
Applied Statistical Methods II 3 OR 4 hours.
Linear regression, introduction to model building, analysis of variance, analysis of enumerative data, nonparametric statistics, product and system reliability, quality control. SAS and SPSSX applications. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 381.
486
Statistical Consulting 3 OR 4 hours.
Introduction to statistical consulting methods and techniques. Handling and transformation of raw data sets in CMS. Statistical analysis of data sets with SAS and SPSSX. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 411 or STAT 481.
494
Special Topics in Statistics, Probability and Operations Research 3 OR 4 hours.
Course content announced prior to each semester in which it is given. Topics drawn from areas such as distribution theory; Bayesian inference; discrete optimization; applied probability models; resampling techniques; biostatistics; environmental sampling. 3 undergraduate hours. 4 graduate hours. May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the department.
496
Independent Study 1 TO 4 hours.
Reading course supervised by a faculty member. May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the instructor and approval of the department.
501
Probability Theory I 4 hours.
Abstract measure theory, probability measures, Kolmogorov extension theorem, sums of independent random variables, the strong and weak laws of large numbers, the central limit theorem, characteristic functions, law of iterated logarithm, infinitely divisible laws. Prerequisite(s): MATH 534 or consent of the instructor.
502
Probability Theory II 4 hours.
RadonNikodym theorem, conditional expectations, martingales, stationary processes, ergodic theorem, stationary Gaussian processes, Markov chains, introduction to stochastic processes, Brownian motions. Prerequisite(s): STAT 501.
511
Advanced Statistical Theory I 4 hours.
Statistical models, criteria of optimum estimation, large sample theory, optimum tests and confidence intervals, best unbiased tests in exponential families, invariance principle, likelihood ratio tests. Prerequisite(s): STAT 411.
512
Advanced Statistical Theory II 4 hours.
Basic concepts in decision theory, prior and posterior distributions, Bayesian decision theory, hierarchical models, robustness, minimax analysis, invariance principle, sequential analysis, completeness. Prerequisite(s): STAT 511.
521
Linear Statistical Inference 4 hours.
Estimation and testing in linear models, generalized inverses of matrices, ndimensional normal distribution, quadratic forms, likelihood ratio tests, best invariant tests, analysis of variance. Prerequisite(s): STAT 411.
522
Multivariate Statistical Analysis 4 hours.
Multivariate normal distribution, estimation of mean vector and covariance matrix, Tsquare statistic, discriminant analysis, general linear hypothesis, principal components, canonical correlations, factor analysis. Prerequisite(s): STAT 521.
531
Sampling Theory I 4 hours.
Foundations of survey design and inference for finite populations;the HorvitzThompson estimator;simple random, cluster,systematic survey designs;auxiliary size measures in design and inference. Prerequisite(s): STAT 411.
532
Sampling Theory II 4 hours.
Uses of auxiliary size measures in survey sampling; cluster sampling; systematic sampling; stratified sampling; superpopulation methods; randomized response methods; resampling; nonresponse; small area estimations. Prerequisite(s): STAT 531.
535
Optimal Design Theory I 4 hours.
GaussMarkov theorem,optimality criteria, optimal designs for 1way, 2way elimination of heterogeneity models,repeated measurements, treatmentcontrol ; Equivalence theorem,approximate designs for polynomial regression. Prerequisite(s): STAT 521.
536
Optimal Design Theory II 4 hours.
Construction of optimal designs: BIB , Latin square and generalized Youden , repeated measurements , treatmentcontrol studies; construction of factorial designs including orthogonal arrays Prerequisite(s): STAT 535 or consent of the instructor.
571
Noncooperative Games 4 hours.
Extensive games. Separation and fixed point theorems. General minimax theorems. Nash equilibria. War duels. Completely mixed games. Games with convex payoff. Stochastic games. Prerequisite(s): STAT 461 or MATH 411.
572
Cooperative Game Theory 4 hours.
Utility Theory. Games with side payments, stable sets, core, bargaining sets,Shapley value,Nucleolus. Market games. NTU value. Multilinear extensions, nonatomic games . Prerequisite(s): STAT 571 or consent of the instructor.
591
Advanced Topics in Statistics, Probability and Operations Research 4 hours.
Special topics. Topics drawn from areas such as: Data analysis; Bayesion inference; Nonlinear models; Time series; Computer aided design; reliability models; game theory. May be repeated. Prerequisite(s): Approval of the department.
593
Graduate Student Seminar 1 hours.
For graduate students who wish to receive credit for participating in a learning seminar whose weekly time commitment is not sufficient for a reading course. This seminar must be sponsored by a faculty member. Satisfactory/Unsatisfactory grading only. May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the department.
595
Research Seminar 1 hours.
Current developments in research with presentations by faculty, students, and visitors. Researchers and practitioners from academia, industry and government will present talks on topics of current interest. Satisfactory/Unsatisfactory grading only. May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the department.
596
Independent Study 1 TO 4 hours.
Reading course supervised by a faculty member. May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the instructor and the department.
598
Master's Thesis 0 TO 16 hours.
Research work under the supervision of a faculty member leading to the completion of a master's thesis. Satisfactory/Unsatisfactory grading only. Prerequisite(s): Approval of the department.
599
Doctoral Thesis Research 0 TO 16 hours.
Research work under the supervision of a faculty member leading to the completion of a doctoral thesis. Satisfactory/Unsatisfactory grading only. May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the department.
Information provided by the Office of Programs and Academic Assessment.
This listing is for informational purposes only and does not constitute a contract. Every attempt is made to provide the most current and correct information. Courses listed here are subject to change without advance notice. Courses are not necessarily offered every term or year. Individual departments or units should be consulted for information regarding frequency of course offerings.
