Graduate
Courses
Below is a list of our most popular mathematics and statistics graduate courses.
MAT – Mathematics
Complete course descriptions and additional courses can be found in the Graduate Bulletin.
MAT 503 Problem Solving in Mathematics (3:3) [Pr. MAT 191 and MAT 303]
Investigates the nature of problem solving, covers procedures involved in problem solving, develops individual problem solving skills, and collects a set of appropriate problems. Required for middle grades mathematics concentration.
MAT 513 Historical Development of Mathematics (3:3) [Pr. MAT 292]
Study of the historical development of mathematics, not a history of persons involved in development.
MAT 514 Theory of Numbers (3:3) [Pr. MAT 311]
An introductory course to both multiplicative and additive number theory. Divisibility, prime numbers, congruencies, linear and nonlinear Diophantine equations (including Pell’s equation), quadratic residues, number-theoretic functions, and other topics.
MAT 515 Mathematical Logic (3:3) [Pr. MAT 311 or MAT 353]
Formal languages, recursion, compactness, and effectiveness. First-order languages, truth, and models. Soundness and completeness theorems. Models of theories.
MAT 516 Intermediate Abstract Algebra (3:3) [Pr. MAT 311]
Rings, integral domains, fields, division algorithm, factorization theorems, zeros of polynomials, greatest common divisor, formal derivatives, prime polynomials, Euclidean domains, the fundamental theorem of algebra.
MAT 517 Theory of Groups (3:3) [Pr. MAT 311]
Elementary properties of groups and homomorphisms, quotients and products of groups, the Sylow theorems, structure theory for finitely generated Abelian groups.
MAT 518 Set Theory and Transfinite Arithmetic (3:3) [Pr. MAT 311 or MAT 395]
The axioms of set theory, operations on sets, relations and function, ordinal and cardinal numbers.
MAT 519 Intuitive Concepts in Topology (3:3) [Pr. MAT 311 or MAT 395]
Basic concepts, vector fields, the Jordan curve theorem, surfaces, homology of complexes, continuity.
MAT 520 Non-Euclidean Geometry (3:3) [Pr. MAT 311 or MAT 395]
Fifth postulate, hyperbolic geometries, elliptic geometries, consistency of non-Euclidean geometries, models for geometries, elements of inversion.
MAT 521 Projective Geometry (3:3)
Transformation groups and projective, affine and metric geometries of the line, plane, and space. Homogeneous coordinates, principles of duality, involutions, cross-ratio, collineations, fixed points, conics, ideal and imaginary elements, models, and Euclidean specifications.
MAT 522 Introductory Functional Analysis (3:3) [Pr. MAT 395]
Basic concepts in Banach spaces, Hilbert spaces, linear operators, and their applications.
MAT/CSC 523 Numerical Methods (3:3) [Pr. MAT 293]
Number systems and errors, solutions of non-linear and linear systems, interpolation, numerical differentiation and integration, solution of differential equations. Implementation of numerical methods using a high-level programming language.
MAT 525 Intermediate Mathematical Analysis (3:3) [Pr. MAT 395]
Integration, infinite series, sequences and series of functions.
MAT 531 Combinatorial Analysis (3:3) [Pr. MAT 253 or MAT 295 or MAT 311 or MAT 395]
The pigeon-hole principle, permutations, combinations, generating functions, principle of inclusion and exclusion, distributions, partitions, recurrence relations.
MAT 532 Introductory Graph Theory (3:3) [Pr. MAT 310 and any one of the courses MAT 253, MAT 295, MAT 311, MAT 395, MAT 531]
Basic concepts, graph coloring, trees, planar graphs, networks.
MAT 540 Introductory Complex Analysis (3:3) [Pr. MAT 394]
The complex number system, holomorphic functions, power series, complex integration, representation theorems, the calculus of residues.
MAT 541 Stochastic Processes (3:3) [Pr. MAT 394 and either MAT 353 or STA 351, or equivalents]
Markov processes, Markov reward processes, queuing, decision making, graphs, and networks. Applications to performance, reliability, and availability modeling.
MAT 542 Stochastic Processes (3:3) [Pr. MAT 394 and either MAT 353 or STA 351, or equivalents]
Markov processes, Markov reward processes, queuing, decision making, graphs, and networks. Applications to performance, reliability, and availability modeling.
MAT 545 Differential Equations and Orthogonal Systems (3:3) [Pr. MAT 293 and MAT 390]
An introduction to Fourier series and orthogonal sets of functions, with applications to boundary value problems.
MAT 546 Partial Differential Equations with Applications (3:3) [Pr. MAT 545]
Fourier integrals, Bessel functions, Legendre polynomials and their applications. Existence and uniqueness of solutions to boundary value problems.
MAT 549 Topics in Applied Mathematics (3:3) [Pr. 293 and MAT 390]
Selected topics of current interest in applied mathematics.
MAT 556 Topics in Discrete Mathematics (3:3) [Pr. MAT 353 ]
Selected topics of current interest in discrete mathematics.
MAT 589 Experimental Course
This number reserved for experimental courses. Refer to the Course Schedule for current offerings.
MAT 590 Introduction to Mathematical Models in Biology (3:3) [Pr. BIO 112 and either MAT 191 or STA 271]
Exploration of research and methodology at the interface of mathematics and biology, with an overview of relevant fields and in-depth case studies. Focus will be on mathematical models in biology.
MAT 591 Advanced Abstract Algebra (3:3) [Pr. MAT 516]
Groups: homomorphisms, quotient groups, products of groups, Sylow theorems, finitely generated abelian groups. Rings: homomorphisms, ideals, quotient rings, integral domains, Euclidean domains, factorization. Fields: algebraic extensions of fields, Galois theory.
MAT 592 Advanced Abstract Algebra (3:3) [Pr. MAT 516]
Groups: homomorphisms, quotient groups, products of groups, Sylow theorems, finitely generated abelian groups. Rings: homomorphisms, ideals, quotient rings, integral domains, Euclidean domains, factorization. Fields: algebraic extensions of fields, Galois theory.
MAT 593 Directed Study in Mathematics (1-3)
MAT 594 Directed Study in Mathematics (1-3)
MAT 595 Mathematical Analysis (3:3) [Pr. MAT 395]
Real number axioms, metric spaces, sequences, series, continuity, differentiation, the Riemann-Stieltjes integral.
MAT 596 Mathematical Analysis (3:3) [Pr. MAT 395]
Real number axioms, metric spaces, sequences, series, continuity, differentiation, the Riemann-Stieltjes integral.
MAT 601 Seminar in the Teaching of Mathematics I (1:1)
Seminar on practices and principles of undergraduate teaching in mathematics and statistics.
MAT 602 Seminar on Mathematical Software (3:3) [Pr. Knowledge of a programming language]
Variety of issues in the design of mathematical software, i.e., type systems, user interfaces, and memory management. Each student investigates one computer algebra system more closely.
MAT 603 Practicum in the Teaching of Mathematics (2:0:6) [Corequisites MAT 601]
Practicum in teaching mathematics at the college/university level. Topics include course design, class materials, exams, grading, syllabus, choosing textbooks, dealing with difficult matters, and mathematical typesetting.
MAT 606 Calculus for Middle Grade Teachers (3:3) [Pr. MAT 505]
History, developments, major concepts, and applications of differential and integral calculus covering functions of several variables.
MAT 607 Abstract Algebra for Middle Grade Teachers (3:3) [Pr. MAT 303 and MAT 505]
Development and major concepts of abstract algebraic structures including groups, rings, fields, vector spaces, and matrix algebra.
MAT 645 Approximation Theory (3:3) [Pr. MAT 390, MAT 595, MAT 596]
Normed linear spaces. Convexity. Existence and unicity of best approximations. Tchebycheff approximation by polynomials and other linear families. Least-squares approximation and related topics. Rational approximation. The characterization of best approximations. The Stone Approximation Theorem. The Muntz Theorem. Polygonal approximation and bases. Approximation in the mean.
MAT 646 Approximation Theory (3:3) [Pr. MAT 390, MAT 595, MAT 596]
Normed linear spaces. Convexity. Existence and unicity of best approximations. Tchebycheff approximation by polynomials and other linear families. Least-squares approximation and related topics. Rational approximation. The characterization of best approximations. The Stone Approximation Theorem. The Muntz Theorem. Polygonal approximation and bases. Approximation in the mean.
MAT 649 Topics in Operations Research (3:3)
Advanced linear programming. Integer programming, nonlinear programming, inventory models and queueing models. Application of these optimization techniques in the general area of administration are demonstrated through examples via the digital computer.
MAT 650 Management Decision-Making Under Uncertainty (3:3)
Models and techniques to be used in making decisions under uncertainty. Markov Chains, Linear Programming Under Uncertainty, and Chance-Constrained programming.
MAT 659 Advanced Topics in Mathematics (3:3)
Topics vary according to interest and demand, and include algebra, applied mathematics, combinatorics, dynamics, mathematical logic, topology, and other topics.
MAT 688 Mathematical Logic and Axiomatic Set Theory (3:3) [Pr. MAT 311, MAT 394, or equivalents]
Quantification theory, completeness theorems, prenex normal forms, categoricity. The characterization problem, consistency, the theory of models, isomorphisms and substructures, cardinality of models, joint consistency. Incompleteness and undecidability, recursive functions, Church’s thesis, Recursion theory, Set theory, the axiom of constructibility, forcing, the independence proofs.
MAT 689 Mathematical Logic and Axiomatic Set Theory (3:3) [Pr. MAT 311, MAT 394, or equivalents]
Quantification theory, completeness theorems, prenex normal forms, categoricity. The characterization problem, consistency, the theory of models, isomorphisms and substructures, cardinality of models, joint consistency. Incompleteness and undecidability, recursive functions, Church’s thesis, Recursion theory, Set theory, the axiom of constructibility, forcing, the independence proofs.
MAT 690 Mathematics Seminar (2:2) [Pr. Admission to candidacy for master’s degree]
Topics in mathematics suitable for development into a master’s thesis. Current mathematical literature.
MAT 699 Thesis (1-6)
MAT 701 Graduate Seminar in Computational Mathematics (3:3) [Pr. MAT 671]
Readings from the literature of computational mathematics.
MAT 709 Topics in Computational Mathematics (3:3) [Pr. MAT 671]
Advanced study in special topics in computational mathematics.
MAT 711 Experimental Course (3:3)
This number reserved for experimental courses. Refer to the Course Schedule for current offerings.
MAT 721 Mathematical Cryptography (3:3) [Pr. MAT 671]
Mathematics of cryptography with emphasis on public key systems. Applications of elliptic and hyperelliptic curves and lattice theory in attacking and evaluating the security of cryptographic systems.
MAT 723 Numerical Mathematics (3:3) [Pr. MAT 390, MAT 595, MAT 596, or equivalents]
Functional analytic treatment of computation, approximation, optimization, interpolation, smoothing equations, linear systems, differential equations. Emphasis on the mathematical development and analysis of numerical techniques.
MAT 724 Numerical Mathematics (3:3) [Pr. MAT 390, MAT 595, MAT 596, or equivalents]
Functional analytic treatment of computation, approximation, optimization, interpolation, smoothing equations, linear systems, differential equations. Emphasis on the mathematical development and analysis of numerical techniques.
MAT 726 Finite Element Methods (3:3) [Pr. MAT 727]
Introduce the fundamental concepts of the finite element method for approximating solutions to boundary and initial boundary value problems. Topics include modeling, mathematical formulations, convergence analysis, and computer implementation.
MAT 727 Linear Algebra and Matrix Theory (3:3) [Pr. MAT 310, MAT 311]
Vector spaces. Linear operators and similarity. The eigenvalue problem and a spectral decomposition theorem. Normal forms: Smith form for matrices, rational and Jordan forms. Spectral resolution of matrix functions. Special topics.
MAT 728 Linear Algebra and Matrix Theory (3:3) [Pr. MAT 310, MAT 311, MAT 727]
Vector spaces. Linear operators and similarity. The eigenvalue problem and a special decomposition theorem. Normal forms: Smith form for matrices, rational and Jordan forms. Spectral resolution of matrix functions. Special topics.
MAT 731 Combinatorics (3:3) [Pr. MAT 311 ]
Topics include selections, arrangements, theory of generating functions, inclusion-exclusion principle, recurrences, Polya’s theory, block designs, stirling numbers, coding theory.
MAT 732 Graph Theory (3:3) [Pr. MAT 631]
Topics include graphs, paths, trees, directed trees, networks, cycles and circuits, planarity, matching theory, independence, chromatic polynomials, Ramsey theory, extremal theory, the vector spaces associated with a graph.
MAT 735 Ordinary Differential Equations (3:3) [Pr. MAT 390 and MAT 595]
Existence and uniqueness theorems for initial value problems, theory of linear equations, nonlinear equations, stability theory, boundary value problems.
MAT 736 Partial Differential Equations (3:3) [Pr. MAT 735]
Derivation of partial differential equations (PDE) models and applications, linear first order PDE’s, elliptic equations and Green’s function, PDE’s of parabolic and hyperbolic type.
MAT 737 General Topology (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 595, MAT 596, or equivalents]
Topological spaces, point set topology, product and quotient spaces, embedding and metrization, uniform spaces, function spaces, homotopy theory, simplicial complexes and homology, more algebraic topology, general homology theories.
MAT 738 General Topology (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 595, MAT 596, or equivalents]
Topological spaces, point set topology, product and quotient spaces, embedding and metrization, uniform spaces, function spaces, homotopy theory, simplicial complexes and homology, more algebraic topology, general homology theories.
MAT 740 Modern Abstract Algebra (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 591, MAT 592, or equivalents]
Real and complex number fields; rings, integral domains and fields; polynomial rings; extensions of rings and fields; elementary factorization theory; ideals; topics in linear algebra.
MAT 741 Modern Abstract Algebra (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 591, MAT 592, or equivalents]
Real and complex number fields; rings, integral domains and fields; polynomial rings; extensions of rings and fields; elementary factorization theory; ideals; topics in linear algebra.
MAT 742 Computational Number Theory (3:3) [Pr. MAT 671]
Main algorithms used to compute basic information about algebraic number fields, including integral bases, ideal factorization, system of fundamental units, and class group structure.
MAT 743 Complex Analysis (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 595, MAT 596, or equivalents]
The complex number system, holomorphic functions, power series, complex integration, representation theorems, the calculus of residues.
MAT 744 Complex Analysis (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 595, MAT 596, or equivalents]
The complex number system, holomorphic functions, power series, complex integration, representation theorems, the calculus of residues.
MAT 745 Real Analysis (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 595, MAT 596, or equivalents]
Lebesque measure; the Lebesque integral; differentiation and integration, the classical Banach spaces; metric spaces, topological spaces, compact spaces; Banach spaces, measure and integration, measure and outer measure; the Daniell integral; mappings of measure spaces.
MAT 746 Real Analysis (3:3) [Pr. Bachelor’s degree with a major in mathematics, MAT 310, MAT 311, MAT 595, MAT 596, or equivalents]
Lebesque measure; the Lebesque integral; differentiation and integration, the classical Banach spaces; metric spaces, topological spaces, compact spaces; Banach spaces, measure and integration, measure and outer measure; the Daniell integral; mappings of measure spaces.
MAT 747 Computational Topology (3:3) [Pr. MAT 671]
Triangulations and WRAP. Computing homology algorithmically. Morse theory and persistent homology. Computations on knots, braids, and links.
MAT 748 Computational Algebra (3:3) [Pr. MAT 591, MAT 592, and knowledge of a programming language]
Variety of basic subjects in computational algebra: fast arithmetic, algorithms for finite fields, matrix normal forms over rings, polynomial factorization, and Groebner bases.
MAT 790 Directed Doctoral Research (3:3) [Pr. Permission of Director of Graduate Study]
Individual work on a dissertation research problem, which could also include original research or a review of current literature leading to a dissertation proposal.
MAT 799 Dissertation (3:3)
MAT 801 Thesis Extension (1-3)
MAT 803 Research Extension (1-3)
STA – Statistics
Complete course descriptions and additional courses can be found in the Graduate Bulletin.
STA 551 Introduction to Probability (3:3) [Pr. STA 290 and MAT 293]
Events and probabilities (sample spaces), dependent and independent events, random variables and probability distribution, expectation, moment generating functions, multivariate normal distribution, sampling distributions.
STA 552 Introduction to Mathematical Statistics (3:3) [Pr. STA 551]
Point estimation, hypothesis testing, confidence intervals, correlation and regression, small sample distributions.
STA 562 Statistical Computing (3:3) [Pr. STA 291 or STA 580 and knowledge of a scientific programming language]
Statistical methods requiring significant computing or specialized software. Simulation, randomization, bootstrap, Monte Carlo techniques; numerical optimization. Extensive computer programming involved. Extensive computer programming involved. This course does not cover the use of statistical software packages.
STA 565 Analysis of Survival Data (3:3) [Pr. STA 291 or STA 352]
Methods for comparing time-to-event data, including parametric and nonparametric procedures for censored or truncated data, regression model diagnostics, group comparisons, and the use of relevant statistical computing packages.
STA 571 Statistical Methods for Research I (3:3)
Introduction to statistical concepts. Basic probability, random variables, the binomial, normal and Student’s t distributions, hypothesis tests, confidence intervals, chi-square tests, introduction to regression, and analysis of variance.
STA 572 Statistical Methods for Research II (3:3) [Pr. STA 571]
Statistical methodology in research and use of statistical software. Regression, confidence intervals, hypothesis testing, design and analysis of experiments, one- and two-factor analysis of variance, multiple comparisons, hypothesis tests.
STA 573 Theory of Linear Regression (3:3) [Pr. STA 352 and MAT 310, or MAT 662]
Linear regression, least squares, inference, hypothesis testing, matrix approach to multiple regression. Estimation, Gauss-Markov Theorem, confidence bounds, model testing, analysis of residuals, polynomial regression, indicator variables.
STA 574 Theory of the Analysis of Variance (3:3) [Pr. STA 573]
Multivariate normal distribution, one-way analysis of variance, balanced and unbalanced two-way analysis of variance, empty cells, multiple comparisons, special designs, selected topics from random effects models.
STA 575 Nonparametric Statistics (3:3) [Pr. STA 352 or STA 572 or STA 662]
Introduction to nonparametric statistical methods for the analysis of qualitative and rank data. Binomial test, sign test, tests based on ranks, nonparametric analysis of variance, nonparametric correlation and measures of association.
STA 580 Biostatistical Methods (3:3) [Pr. STA 271 or STA 290]
Statistical methods for biological research including: descriptive statistics; probability distributions; parametric and nonparametric tests; ANOVA; regression; correlation; contingency table analysis.
STA 581 SAS System for Statistical Analysis (1:1) [Pr. STA 271, STA 290, or equivalents]
Creating, importing, and working with SAS data sets. Using SAS procedures for elementary statistical analysis, graphical displays, and report generation.
STA 591 Actuarial Exam Preparation Seminar (1:0) [Pr. STA 551, MAT 586, or STA 687]
Topics vary according to interest and demand. Intended to help prepare for the P/1, FM/2, or MLC exam.
STA 589 Experimental Course
This number reserved for experimental courses. Refer to the Course Schedule for current offerings.
STA 593 Directed Study in Statistics (1-3)
STA 594 Directed Study in Statistics (1-3)
STA 651 Mathematical Statistics (3:3) [Pr. STA 352 and either MAT 394 or MAT 395 or MAT 595]
Requisite mathematics; distribution and integration with respect to a distribution. Theory of random variable and probability distributions. Sampling distributions, statistical estimation, and tests of significance. Random processes. Numerical examples.
STA 652 Mathematical Statistics (3:3) [Pr. STA 352 and either MAT 394 or MAT 395 or MAT 595] Requisite mathematics; distribution and integration with respect to a distribution. Theory of random variable and probability distributions. Sampling distributions, statistical estimation, and tests of significance. Random processes. Numerical examples.
STA 655 Applied Probability Models (3:3) [Pr. STA 551] An introduction to Markov chains, Poisson processes, renewal processes, Brownian motion, and survival models. Examples drawn from applied fields such as engineering, management, finance, and sciences.
STA 661 Advanced Statistics in the Behavioral and Biological Sciences I (3:3) [Pr. STA 271 or an equivalent introductory statistics course]
Statistical techniques and design considerations for controlled experiments and observational studies. Exploratory data analysis, elementary probability theory, principles of statistical inference, contingency tables, one-way ANOVA, bivariate regression and correlation.
STA 662 Advanced Statistics in the Behavioral and Biological Sciences II (3:3) [Pr. STA 661]
Continuation of STA 661. Multiple regression and correlation, analysis of covariance, factorial ANOVAs, randomized block designs, multiple comparisons, split-plot designs, repeated measures.
STA 667 Statistical Consulting (1:1)
Statistical consultation on doctoral or master’s research. Access to the Statistical Consulting Center. Students are required to attend the initial class meeting during the beginning of the semester.
STA 668 Consulting Experience (1:0:1) [Pr. STA 662]
Development of consulting skills through reading and discussion of literature on statistical consulting and participation in statistical consulting sessions.
STA 670 Categorical Data Analysis (3:3) [Pr. STA 662]
Methods for analyzing dichotomous, multinomial and ordinal responses. Measures of association; inference for proportions and contingency tables; generalized linear models including logistic regression and loglinear models.
STA 671 Multivariate Analysis (3:3) [Pr. STA 573 or STA 662]
Multivariate normal distribution. Cluster analysis, discriminant analysis, canonical correlation, principal component analysis, factor analysis, multivariate analysis of variance. Use and interpretation of relevant statistical software.
STA 672 Applied Statistical Computing (3:3) [Pr. STA 572 or STA 662]
Limitations and advantages of statistical packages (SAS, SPSSX, BMDP, Minitab). Evaluation in terms of statistical methods, utility, availability, sophistication, data base manipulation, and programming capabilities. Applications from various disciplines.
STA 673 Statistical Linear Models I (3:3) [Pr. STA 352 and MAT 310]
Abstract vector spaces, inner product spaces, projections, the Spectral Theorem, least squares, multiple regression, ANOVA, multiple comparisons, data analysis.
STA 674 Statistical Linear Models II (3:3) [Pr. STA 352 and MAT 310]
Abstract vector spaces, inner product spaces, projections, the Spectral Theorem, least squares, multiple regression, ANOVA, multiple comparisons, data analysis.
STA 675 Advanced Experimental Design (3:3) [Pr. STA 662]
Topics include factorials and fractional factorials, incomplete block designs, split-plot and repeated measures, random and mixed effects models, crossover designs, response surface designs, power analysis.
STA 676 Sample Survey Methods (3:3) [Pr. STA 352 or STA 572 or STA 662]
Survey methods for students from any discipline. Random, stratified, cluster, multi-stage and other sampling schemes. Estimation of population means, variances, and proportions. Questionnaire design and analysis.
STA 677 Advanced Topics in Data Analysis and Quantitative Methods (3:3) [Pr. STA 662]
Topics vary according to interest and demand. Quantitative methods not normally covered in detail in other statistics courses. Topics may be selected from psychometrics, econometrics, biometrics, sociometrics, quantitative epidemiology.
STA 682 Theory of Time Series (3:3) [Pr. STA 551 or STA 651]
Examples of time series; objectives in time series modeling; theory and applications of linear and non-linear time series models; ARMA/ARIMA/ARCH/GARCH models; time series modeling using computer packages.
STA 686 Actuarial Models I (3:3) [Pr. STA 551 or MAT 586]
Actuarial models for life contingencies; single and multiple lives models, present values, premium, reserves, pension plans, and retirement benefits. Intended for the MLC actuarial exam.
STA 687 Actuarial Models II (3:3) [Pr. STA 686]
Actuarial models for life contingencies; single and multiple lives models, present values, premium, reserves, pension plans, and retirement benefits. Intended for the MLC actuarial exam.
STA 690 Graduate Seminar (1:0:1) [Pr. STA 662]
Development of presentation skills though reading, discussions, and presentation of current research topics in applied statistics.
STA 698 Project in Statistics (3) Directed research project in statistics.
STA 699 Thesis (1-6)
STA 701 Seminar in Computational Statistics (3:3) [Pr. Either STA 651 and STA 652, or STA 676]
Readings from the literature in Computational Statistics.
STA 703 Topics in High Dimensional Data Analysis (3:3) [Pr. Either STA 562 or STA 673]
Advanced study in special topics in statistical data analysis with large scale data sets. The course may be repeated up to 9 hours as topics vary.
STA 709 Topics in Computational Statistics (3:3) [Pr. STA 552 or STA 652]
Advanced study in special topics in Computational Statistics.
STA 711 Experimental Course This number reserved for experimental courses. Refer to the Course Schedule for current offerings.
STA 801 Thesis Extension (1-3)
STA 803 Research Extension (1-3)
