All Graduate Courses

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Mathematics

MATH 305 Introduction to Mathematical and Computational Modeling: 3 cr. Undergraduate/Graduate.; Construction and analysis of discrete and continuous mathematical models in applied, natural, and social sciences. Elements of programming, simulations, case studies from scientific literature.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 211(P), and one additional 200-level or higher MATH or MTHSTAT course, or a grade of C or better in MATH 213(P) or MATH 231(P).; Course Rules: Counts as repeat of MATH 690(675) with topic 'Adv Math Models with Apps'.; Last Taught: Spring 2025, Spring 2024.
MATH 305G Introduction to Mathematical and Computational Modeling: 3 cr. Undergraduate/Graduate.; Construction and analysis of discrete and continuous mathematical models in applied, natural, and social sciences. Elements of programming, simulations, case studies from scientific literature.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 211(P), and one additional 200-level or higher MATH or MTHSTAT course, or a grade of C or better in MATH 213(P) or MATH 231(P).; Course Rules: Counts as repeat of MATH 690(675) with topic 'Adv Math Models with Apps'.; Last Taught: Spring 2025, Spring 2024.
MATH 313 Linear Programming and Optimization: 3 cr. Undergraduate/Graduate.; Primal and dual formulations of linear programming problems; simplex and related methods of solution; algorithms for transportation; optimization.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 234(P), ELECENG 234(P), or MATH 240(P); or graduate standing.; Last Taught: Fall 2024, Fall 2023.
MATH 313G Linear Programming and Optimization: 3 cr. Undergraduate/Graduate.; Primal and dual formulations of linear programming problems; simplex and related methods of solution; algorithms for transportation; optimization.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 234(P), ELECENG 234(P), or MATH 240(P); or graduate standing.; Last Taught: Fall 2024, Fall 2023.
MATH 315 Mathematical Programming and Optimization: 3 cr. Undergraduate/Graduate.; Introduction to operations research. Network analysis; integer programming; game theory; nonlinear programming; dynamic programming.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 234(P) or MATH 240(P); and a grade of C or better in MATH 211(P) or MATH 233(P); or graduate standing.; Last Taught: Spring 2025, Spring 2024.
MATH 315G Mathematical Programming and Optimization: 3 cr. Undergraduate/Graduate.; Introduction to operations research. Network analysis; integer programming; game theory; nonlinear programming; dynamic programming.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 234(P) or MATH 240(P); and a grade of C or better in MATH 211(P) or MATH 233(P); or graduate standing.; Last Taught: Spring 2025, Spring 2024.
MATH 320 Introduction to Differential Equations: 3 cr. Undergraduate/Graduate.; Elementary types and systems of differential equations, series solutions, numerical methods, Laplace transforms, selected applications.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 232(P) and MATH 240(P), or a grade of C or better in MATH 234(P) or ELECENG 234(P); or graduate standing.; Course Rules: No grad cr in Math Sci.; Last Taught: Fall 2024, Fall 2023.
MATH 320G Introduction to Differential Equations: 3 cr. Undergraduate/Graduate.; Elementary types and systems of differential equations, series solutions, numerical methods, Laplace transforms, selected applications.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 232(P) and MATH 240(P), or a grade of C or better in MATH 234(P) or ELECENG 234(P); or graduate standing.; Course Rules: No grad cr in Math Sci.; Last Taught: Fall 2024, Fall 2023.
MATH 322 Introduction to Partial Differential Equations: 3 cr. Undergraduate/Graduate.; Partial differential equations of mathematical physics, boundary value problems in heat flow, vibrations, potentials, etc. Solved by Fourier series; Bessel functions and Legendre polynomials.; Prerequisites: junior standing or consent of instructor; MATH 320(P); and a grade of C or better in MATH 233(P); or graduate standing.; Last Taught: Spring 2025, Spring 2023.
MATH 322G Introduction to Partial Differential Equations: 3 cr. Undergraduate/Graduate.; Partial differential equations of mathematical physics, boundary value problems in heat flow, vibrations, potentials, etc. Solved by Fourier series; Bessel functions and Legendre polynomials.; Prerequisites: junior standing or consent of instructor; MATH 320(P); and a grade of C or better in MATH 233(P); or graduate standing.; Last Taught: Spring 2025, Spring 2023.
MATH 325 Vector Analysis: 3 cr. Undergraduate/Graduate.; Topics selected from vector algebra; scalar and vector fields; line, surface, and volume integrals; theorems of Green, Gauss, and Stokes; vector differential calculus.; Prerequisites: junior standing or consent of instructor and a grade of C or better in MATH 233(P); or graduate standing.; Course Rules: Previously MATH 321.; Last Taught: Spring 2025, Spring 2024.
MATH 325G Vector Analysis: 3 cr. Undergraduate/Graduate.; Topics selected from vector algebra; scalar and vector fields; line, surface, and volume integrals; theorems of Green, Gauss, and Stokes; vector differential calculus.; Prerequisites: junior standing or consent of instructor and a grade of C or better in MATH 233(P); or graduate standing.; Course Rules: Previously MATH 321.; Last Taught: Spring 2025, Spring 2024.
MATH 405 Mathematical Models and Applications: 3 cr. Undergraduate/Graduate.; Modeling techniques for analysis and decision-making in social and life sciences and industry. Deterministic and stochastic modeling. Topics may vary with instructors.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 211(P), or a grade of B or better in MATH 213(P), or a grade of C or better in MATH 231(P); and a grade of C or better in MATH 234(P), ELECENG 234(P), or MATH 240(P); or graduate standing.; Last Taught: Fall 2024, Fall 2022.
MATH 405G Mathematical Models and Applications: 3 cr. Undergraduate/Graduate.; Modeling techniques for analysis and decision-making in social and life sciences and industry. Deterministic and stochastic modeling. Topics may vary with instructors.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 211(P), or a grade of B or better in MATH 213(P), or a grade of C or better in MATH 231(P); and a grade of C or better in MATH 234(P), ELECENG 234(P), or MATH 240(P); or graduate standing.; Last Taught: Fall 2024, Fall 2022.
MATH 413 Introduction to Numerical Analysis: 3 cr. Undergraduate/Graduate.; Root finding and solution of nonlinear systems; direct solution of linear systems; interpolation & approximation of functions; least squares; fast Fourier transform; quadrature.; Prerequisites: junior standing or consent of instructor, grade of C or better in MATH 233(P), and either MATH 234(P) or ELECENG 234(P); or graduate standing.; Last Taught: Fall 2023.
MATH 413G Introduction to Numerical Analysis: 3 cr. Undergraduate/Graduate.; Root finding and solution of nonlinear systems; direct solution of linear systems; interpolation & approximation of functions; least squares; fast Fourier transform; quadrature.; Prerequisites: junior standing or consent of instructor, grade of C or better in MATH 233(P), and either MATH 234(P) or ELECENG 234(P); or graduate standing.; Last Taught: Fall 2023.
MATH 415 Introduction to Scientific Computing: 3 cr. Undergraduate/Graduate.; Nonlinear systems; iterative solution of linear systems; initial value problems in ordinary differential equations; boundary value problems in ordinary and partial differential equations.; Prerequisites: junior standing or consent of instructor, grade of C or better in MATH 233, and MATH 234 or ELECENG 234; or graduate standing.; Last Taught: Spring 2023.
MATH 415G Introduction to Scientific Computing: 3 cr. Undergraduate/Graduate.; Nonlinear systems; iterative solution of linear systems; initial value problems in ordinary differential equations; boundary value problems in ordinary and partial differential equations.; Prerequisites: junior standing or consent of instructor, grade of C or better in MATH 233, and MATH 234 or ELECENG 234; or graduate standing.; Last Taught: Spring 2023.
MATH 417 Computational Linear Algebra: 3 cr. Undergraduate/Graduate.; Direct solution of linear systems; iterative solution of linear systems; least squares; eigenvalue problems.; Prerequisites: junior standing or consent of instructor and a grade of C or better in MATH 234, ELECENG 234, or MATH 240; or graduate standing.; Last Taught: Fall 2022.
MATH 417G Computational Linear Algebra: 3 cr. Undergraduate/Graduate.; Direct solution of linear systems; iterative solution of linear systems; least squares; eigenvalue problems.; Prerequisites: junior standing or consent of instructor and a grade of C or better in MATH 234, ELECENG 234, or MATH 240; or graduate standing.; Last Taught: Fall 2022.
MATH 431 Modern Algebra with Applications: 3 cr. Undergraduate/Graduate.; Groups, rings, fields, Boolean algebras with emphasis on their applications to computer science and other areas.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 212 or MATH 232; or graduate standing.; Course Rules: Does not carry graduate credit in math sci.; Last Taught: Fall 2024, Fall 2023.
MATH 431G Modern Algebra with Applications: 3 cr. Undergraduate/Graduate.; Groups, rings, fields, Boolean algebras with emphasis on their applications to computer science and other areas.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 212 or MATH 232; or graduate standing.; Course Rules: Does not carry graduate credit in math sci.; Last Taught: Fall 2024, Fall 2023.
MATH 451 Axiomatic Geometry: 3 cr. Undergraduate/Graduate.; An axiomatic approach to Euclidean and non-Euclidean geometry (historic role of the parallel postulate and models).; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 341(P); or graduate standing.; Course Rules: Department consent required for graduate credit in math sci.; Last Taught: Fall 2024.
MATH 451G Axiomatic Geometry: 3 cr. Undergraduate/Graduate.; An axiomatic approach to Euclidean and non-Euclidean geometry (historic role of the parallel postulate and models).; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 341(P); or graduate standing.; Course Rules: Department consent required for graduate credit in math sci.; Last Taught: Fall 2024.
MATH 490 Topics in Mathematics:: 3 cr. Undergraduate/Graduate.; Specific topics and any additional prerequisites announced in Schedule of Classes each time course is offered.; Prerequisites: junior standing or consent of instructor; a grade of C or better in a 200+ MATH or MTHSTAT course; or graduate standing.; Course Rules: May be retaken with change in topic to 9 cr max.; Last Taught: Summer 2022, Spring 2020.
MATH 490G Topics in Mathematics:: 3 cr. Undergraduate/Graduate.; Specific topics and any additional prerequisites announced in Schedule of Classes each time course is offered.; Prerequisites: junior standing or consent of instructor; a grade of C or better in a 200+ MATH or MTHSTAT course; or graduate standing.; Course Rules: May be retaken with change in topic to 9 cr max.; Last Taught: Summer 2022, Spring 2020.
MATH 497 Study Abroad:: 1-12 cr. Undergraduate/Graduate.; Designed to enroll students in UWM sponsored programs before course work level, content and credits are determined and/or in specially prepared program course work.; Prerequisites: junior standing and acceptance for Study Abroad Program.; Course Rules: May be retaken with change in topic.; Last Taught: Fall 2024, Fall 2018.
MATH 497G Study Abroad:: 1-12 cr. Undergraduate/Graduate.; Designed to enroll students in UWM sponsored programs before course work level, content and credits are determined and/or in specially prepared program course work.; Prerequisites: junior standing and acceptance for Study Abroad Program.; Course Rules: May be retaken with change in topic.; Last Taught: Fall 2024, Fall 2018.
MATH 511 Symbolic Logic: 3 cr. Undergraduate/Graduate.; First-order predicate calculus; formal properties of theoretical systems; chief results of modern mathematical logic; advanced topics such as completeness and computability.; Prerequisites: junior standing or consent of instructor; PHILOS 212(P) or 6 cr of MATH at the 300-level or above; or graduate standing.; Course Rules: COMPSCI 511, MATH 511 and PHILOS 511 are jointly offered and count as repeat of each other.; Last Taught: Spring 2019, Spring 2017.
MATH 511G Symbolic Logic: 3 cr. Undergraduate/Graduate.; First-order predicate calculus; formal properties of theoretical systems; chief results of modern mathematical logic; advanced topics such as completeness and computability.; Prerequisites: junior standing or consent of instructor; PHILOS 212(P) or 6 cr of MATH at the 300-level or above; or graduate standing.; Course Rules: COMPSCI 511, MATH 511 and PHILOS 511 are jointly offered and count as repeat of each other.; Last Taught: Spring 2019, Spring 2017.
MATH 523 Advanced Calculus I: 3 cr. Undergraduate/Graduate.; Fundamental notions of sets and functions; limits, continuity; Riemann integral, improper integral; infinite series; uniform convergence; power series; improper integrals with a parameter.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 232(P) and MATH 341(P); or graduate standing.; Course Rules: Previously MATH 521.; Last Taught: Fall 2024.
MATH 523G Advanced Calculus I: 3 cr. Undergraduate/Graduate.; Fundamental notions of sets and functions; limits, continuity; Riemann integral, improper integral; infinite series; uniform convergence; power series; improper integrals with a parameter.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 232(P) and MATH 341(P); or graduate standing.; Course Rules: Previously MATH 521.; Last Taught: Fall 2024.
MATH 524 Advanced Calculus II: 3 cr. Undergraduate/Graduate.; Linear functions; differentiation of functions of several variables (implicit functions, Jacobians); change of variable in multiple integrals; integrals over curves, surfaces; Green, Gauss, Stokes theorems.; Prerequisites: junior standing or consent of instructor, MATH 523(521)(P), a grade of C or better in MATH 233(P), and a grade of C or better in MATH 234(P) or MATH 240(P); or graduate standing.; Course Rules: Previously MATH 522.; Last Taught: Spring 2025.
MATH 524G Advanced Calculus II: 3 cr. Undergraduate/Graduate.; Linear functions; differentiation of functions of several variables (implicit functions, Jacobians); change of variable in multiple integrals; integrals over curves, surfaces; Green, Gauss, Stokes theorems.; Prerequisites: junior standing or consent of instructor, MATH 523(521)(P), a grade of C or better in MATH 233(P), and a grade of C or better in MATH 234(P) or MATH 240(P); or graduate standing.; Course Rules: Previously MATH 522.; Last Taught: Spring 2025.
MATH 529 Structure of Real and Complex Numbers: 3 cr. Undergraduate/Graduate.; Construction of the real and complex number systems; topology of the real line and the complex plane; sequences and series of complex numbers.; Prerequisites: junior standing or consent of instructor, and MATH 341(P); or graduate standing.; Last Taught: Fall 2022.
MATH 529G Structure of Real and Complex Numbers: 3 cr. Undergraduate/Graduate.; Construction of the real and complex number systems; topology of the real line and the complex plane; sequences and series of complex numbers.; Prerequisites: junior standing or consent of instructor, and MATH 341(P); or graduate standing.; Last Taught: Fall 2022.
MATH 531 Modern Algebra: 3 cr. Undergraduate/Graduate.; Integers; groups; rings; fields; emphasis on proofs.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 341(P).; Last Taught: Spring 2025, Spring 2024.
MATH 531G Modern Algebra: 3 cr. Undergraduate/Graduate.; Integers; groups; rings; fields; emphasis on proofs.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 341(P).; Last Taught: Spring 2025, Spring 2024.
MATH 535 Linear Algebra: 3 cr. Undergraduate/Graduate.; Vector spaces; systems of linear equations; linear transformations and matrices; bilinear, quadratic, and Hermitian forms; eigentheory; canonical forms; selected topics. Emphasizes theory and proof.; Prerequisites: junior standing or consent of instructor, a grade of C or better in MATH 234(P) or MATH 240(P), and a grade of C or better in MATH 341(P); or graduate standing.; Last Taught: Fall 2024, Fall 2023.
MATH 535G Linear Algebra: 3 cr. Undergraduate/Graduate.; Vector spaces; systems of linear equations; linear transformations and matrices; bilinear, quadratic, and Hermitian forms; eigentheory; canonical forms; selected topics. Emphasizes theory and proof.; Prerequisites: junior standing or consent of instructor, a grade of C or better in MATH 234(P) or MATH 240(P), and a grade of C or better in MATH 341(P); or graduate standing.; Last Taught: Fall 2024, Fall 2023.
MATH 537 Number Theory: 3 cr. Undergraduate/Graduate.; Number theoretic functions; distribution of primes; Diophantine approximation; partitions; additive number theory; quadratic reciprocity.; Prerequisites: junior standing or consent of instructor, and grade of C or better in MATH 232(P) and MATH 341(P); or graduate standing.; Last Taught: Spring 2019, Fall 2016.
MATH 537G Number Theory: 3 cr. Undergraduate/Graduate.; Number theoretic functions; distribution of primes; Diophantine approximation; partitions; additive number theory; quadratic reciprocity.; Prerequisites: junior standing or consent of instructor, and grade of C or better in MATH 232(P) and MATH 341(P); or graduate standing.; Last Taught: Spring 2019, Fall 2016.
MATH 551 Elementary Topology: 3 cr. Undergraduate/Graduate.; General theory of point sets in Euclidean spaces, with emphasis on topology of two-dimensional and three-dimensional spaces; elementary notions of metric spaces; applications.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 233(P) and MATH 341(P); or graduate standing.; Last Taught: Fall 2023.
MATH 551G Elementary Topology: 3 cr. Undergraduate/Graduate.; General theory of point sets in Euclidean spaces, with emphasis on topology of two-dimensional and three-dimensional spaces; elementary notions of metric spaces; applications.; Prerequisites: junior standing or consent of instructor; a grade of C or better in MATH 233(P) and MATH 341(P); or graduate standing.; Last Taught: Fall 2023.
MATH 553 Differential Geometry: 3 cr. Undergraduate/Graduate.; The theory of curves and surfaces by differential methods.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 233(P), MATH 234(P), and MATH 341(P); or graduate standing.; Last Taught: Spring 2022.
MATH 553G Differential Geometry: 3 cr. Undergraduate/Graduate.; The theory of curves and surfaces by differential methods.; Prerequisites: junior standing or consent of instructor, and a grade of C or better in MATH 233(P), MATH 234(P), and MATH 341(P); or graduate standing.; Last Taught: Spring 2022.
MATH 575 High School Mathematics from an Advanced Viewpoint: 3 cr. Undergraduate/Graduate.; Number systems; algebra of polynomials; theory of equations; functions; modeling; geometric measurement; geometric transformations; connections between advanced mathematics and high school topics.; Prerequisites: junior standing or consent of instructor, MATH 341(P) and an additional 6 credits of Math at the 300 level or above; or graduate standing.; Course Rules: Counts as repeat of MATH 690 with similar topic.; Last Taught: Spring 2025.
MATH 575G High School Mathematics from an Advanced Viewpoint: 3 cr. Undergraduate/Graduate.; Number systems; algebra of polynomials; theory of equations; functions; modeling; geometric measurement; geometric transformations; connections between advanced mathematics and high school topics.; Prerequisites: junior standing or consent of instructor, MATH 341(P) and an additional 6 credits of Math at the 300 level or above; or graduate standing.; Course Rules: Counts as repeat of MATH 690 with similar topic.; Last Taught: Spring 2025.
MATH 690 Topics in Mathematics:: 3 cr. Undergraduate/Graduate.; Specific topics and any additional prerequisites announced in Schedule of Classes each time course is offered.; Prerequisites: junior standing or consent of instructor, and at least one U/G MATH or MTHSTAT course; or graduate standing.; Course Rules: May be retaken with change in topic to 9 cr max.; Last Taught: Spring 2023, Spring 2022.
MATH 690G Topics in Mathematics:: 3 cr. Undergraduate/Graduate.; Specific topics and any additional prerequisites announced in Schedule of Classes each time course is offered.; Prerequisites: junior standing or consent of instructor, and at least one U/G MATH or MTHSTAT course; or graduate standing.; Course Rules: May be retaken with change in topic to 9 cr max.; Last Taught: Spring 2023, Spring 2022.
MATH 703 Advanced Engineering Mathematics I: 3 cr. Graduate.; Sequences and series, elementary complex analysis; Fourier series; linear and nonlinear ordinary differential equations; matrix theory, elementary functional analysis; elementary solution of partial differential equations.; Prerequisites: graduate standing; or junior standing; grade of C or better in both MATH 233(P) and MATH/ELECENG 234(P); 3 cr MATH at 300-level or above; or consent of instructor.; Course Rules: No credit for students with credit in MATH 603.; Last Taught: Fall 2024, Fall 2022.
MATH 704 Advanced Engineering Mathematics II: 3 cr. Graduate.; Continuation of MATH 703. Partial differential equations, Fourier and Laplace transforms, convolutions, special functions, mathematical modeling.; Prerequisites: graduate standing and MATH 703(P).; Course Rules: No credit for students with credit in MATH 604.; Last Taught: Spring 2025, Spring 2023.
MATH 710 Numerical Solution of Partial Differential Equations: 3 cr. Graduate.; Finite difference and finite element methods for boundary value and evolution problems; solution of hyperbolic conservation laws; consistency, convergence, and stability; iterative methods for related linear systems.; Prerequisites: graudate standing; MATH 413(P), MATH 415(414)(P), or MATH 417(416)(P); MATH 322(P), MATH 604(602)(P), or MATH 704(P); or consent of instructor.; Course Rules: No credit for students with credit in MATH 610(615). Previously MATH 707.
MATH 717 Optimization: 3 cr. Graduate.; Introduction of numerical algorithms for unconstrained and constrained optimization, nonlinear programming, least-squares problems, quadratic programming, Karush-Kuhn-Tucker theory, penalty and augmented Lagrangian methods.; Prerequisites: graduate standing; MATH 313(P), MATH 315(P), MATH 417(P), MATH 604(602)(P), or MATH 704(P); or consent of instructor.; Course Rules: No credit for students with credit in MATH 617. Previously MATH 708.; Last Taught: Spring 2024.
MATH 723 Introduction to Analysis I: 3 cr. Graduate.; Topology of Euclidean space; continuity; differentiation of real and vector-valued functions; Riemann-Stieltjes integration.; Prerequisites: graduate standing; consent of instructor.; Course Rules: No credit for students with credit in MATH 623(621).; Last Taught: Fall 2024, Fall 2023, Fall 2022, Spring 1987.
MATH 724 Introduction to Analysis II: 3 cr. Graduate.; Continuation of MATH 723. Sequences and series of functions; uniform convergence; power series; functions of several variables; inverse and implicit function theorems; differential forms; Stokes' theorem.; Prerequisites: graduate standing; MATH 723(P) or consent of instructor.; Course Rules: No credit for students with credit in MATH 624(622). Previously MATH 722.; Last Taught: Spring 2025, Spring 2024, Spring 2023.
MATH 735 Modern Algebra I: 3 cr. Graduate.; Group theory, including normal subgroups, quotients, permutation groups, Sylow's theorems, Abelian groups; field theory; linear algebra over general fields.; Prerequisites: graduate standing.; Course Rules: No credit for students with credit in MATH 635(631).; Last Taught: Fall 2024, Fall 2023, Fall 2022.
MATH 736 Modern Algebra II: 3 cr. Graduate.; Continuation of MATH 735. Ring theory, including ideals, quotient rings, Euclidean rings, polynomial rings, unique factorization; modules, including vector spaces, linear transformations, canonical forms; bilinear forms.; Prerequisites: graduate standing.; Course Rules: No credit for students with credit in MATH 636(632).; Last Taught: Spring 2025, Spring 2024, Spring 2023, Fall 2005.
MATH 783 Introduction to Probability Models: 3 cr. Graduate.; Probability review, Markov chains in discrete and continuous time. Random walks, branching processes, birth and death processes. Queuing theory. Applications to physical sciences, engineering, mathematics.; Prerequisites: graduate standing or consent of instructor; recommended are courses in multivariable calculus, elementary linear algebra and differential equations, and one calculus-based course in statistics or probability at the 300 level or above.; Course Rules: No credit for students with credit in MATH 583(571).; Last Taught: Spring 2025, Spring 2024, Spring 2023, Fall 2021.
MATH 799 Seminar in Mathematics:: 1-3 cr. Graduate.; Specific topics and any additional prerequisites announced in Timetable each time course is offered.; Prerequisites: graduate standing and consent of instructor.; Course Rules: Retakable with change in topic to 9 cr max.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Spring 2022.
MATH 803 Industrial Mathematics I: 3 cr. Graduate.; Elementary functional analysis, wavelets, control theory. Use of mathematical software emphasized throughout.; Prerequisites: graduate standing in natural science discipline; MATH 524(522)(P), MATH 604(602)(P), MATH 624(622)(P), or MATH 704(P).; Course Rules: Previously MATH 701.; Last Taught: Fall 2021, Fall 2019, Fall 2017, Fall 2015.
MATH 804 Industrial Mathematics II: 3 cr. Graduate.; Optimal control theory, digital signal processing, image processing, linear programming, nonlinear optimation, artificial neural networks. Use of mathematical software emphasized throughout.; Prerequisites: graduate standing in natural science discipline; MATH 803(701)(P).; Course Rules: Previously MATH 702.; Last Taught: Spring 2022, Spring 2020, Spring 2018, Spring 2014.
MATH 807 Group Theory and Its Applications to Physics: 3 cr. Graduate.; Representations of discrete and continuous groups, including rotation groups, unitary groups and crystal point and space groups. Symmetries of elementary particles. Molecular obitals, energy bands.; Prerequisites: grad st; Physics 532(P).; Course Rules: Counts as a repeat of Physics 807.; Last Taught: Spring 2021, Spring 2019, Spring 2018.
MATH 810 Numerical Analysis I: 3 cr. Graduate.; Polynomial interpolation and approximation; numerical differentiation and integration; direct and iterative methods for linear systems; and iterative methods for nonlinear algebraic equations.; Prerequisites: graduate standing; MATH 413(P); MATH 523(521)(P), MATH 623(621)(P), or MATH 723(P).; Course Rules: Previously MATH 715.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Fall 2021.
MATH 811 Numerical Analysis II: 3 cr. Graduate.; Numerical methods for initial value problems of ordinary differential equations; gradient descent and conjugate gradient methods and preconditioning techniques for solving large scale sparse linear systems; orthogonal polynomials and least squares techniques.; Prerequisites: graduate standing; MATH 810(P) or consent of instructor.; Course Rules: Previously MATH 805.; Last Taught: Spring 2025, Spring 1993, Fall 1985.
MATH 816 Ordinary Differential Equations: 3 cr. Graduate.; Existence and uniqueness theorems for systems of ode; qualitative properties of solutions, including stability and asymptotic behavior; general theory of linear systems; sturm-liouville problems.; Prerequisites: graduate standing; MATH 524(522)(P), MATH 624(622)(P), or MATH 724(P).; Course Rules: No credit for students with credit in MATH 716.; Last Taught: Fall 2023, Spring 2010, Spring 2006, Spring 2004.
MATH 819 Partial Differential Equations: 3 cr. Graduate.; First and second order equations; characteristics, cauchy problem; classical solutions of linear elliptic, parabolic and hyperbolic equations.; Prerequisites: graduate standing; MATH 524(522)(P), MATH 624(622)(P), or MATH 724(P); MATH 320(P).; Course Rules: No credit for students with credit in MATH 719.; Last Taught: Spring 2024, Fall 2000, Fall 1996, Spring 1996.
MATH 823 Theory of Functions of a Real Variable I: 3 cr. Graduate.; Equivalence relations; cardinal and ordinal numbers; topology of real line; cantor and borel sets; lebesgue measure on real line; baire and measurable functions; lebesgue integral.; Prerequisites: graduate standing; MATH 524(522)(P) and MATH 551(P); or MATH 624(622)(P) or MATH 724(P).; Course Rules: No credit for students with credit in MATH 711.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Spring 1989.
MATH 824 Theory of Functions of a Real Variable II: 3 cr. Graduate.; Lebesgue integration; modes of convergence; lp spaces; vitali covering and lebesgue density theorems; dini derivates; differentiation; fundamental theorem of the lebesgue integral calculus; fubini's theorem.; Prerequisites: graduate standing; MATH 823(P).; Course Rules: Previously MATH 712.; Last Taught: Spring 2025, Spring 2024, Spring 2023, Spring 2022.
MATH 825 Functional Analysis I: 3 cr. Graduate.; Basic notions of functional analysis in hilbert space will be introduced. The concepts will be illustrated by applications to elementary differential and integral equation problems.; Prerequisites: graduate standing; MATH 524(522)(P), MATH 624(622)(P), or MATH 724(P).; Course Rules: No credit for students with credit in MATH 726.; Last Taught: Fall 2023, Spring 2013, Fall 1998, Fall 1994.
MATH 826 Functional Analysis II: 3 cr. Graduate.; Continuation of MATH 825.; Prerequisites: graduate standing and MATH 825(P).; Last Taught: Spring 1999, Spring 1994, Spring 1993.
MATH 827 Theory of Functions of a Complex Variable I: 3 cr. Graduate.; Complex numbers; linear transformations; elementary functions; conformal mapping; complex integration; infinite sequences; dirichlet problem; multivalued functions.; Prerequisites: graduate standing; MATH 524(522)(P), MATH 623(621)(P), or MATH 723(P).; Course Rules: No credit for students with credit in MATH 713.; Last Taught: Spring 2025, Fall 2024, Fall 2022, Spring 1995.
MATH 828 Theory of Functions of a Complex Variable II: 3 cr. Graduate.; Continuation of MATH 827.; Prerequisites: graduate standing; MATH 827(P).; Course Rules: Previously MATH 714.; Last Taught: Spring 2025, Spring 2023, Spring 2021, Spring 2019.
MATH 835 Abstract Algebra I: 3 cr. Graduate.; Basic course which is prerequisite for all other 800-899 level courses in algebra; groups, rings, fields, galois theory, modules, and categories.; Prerequisites: graduate standing; MATH 636(632)(P) or MATH 736(P); consent of instructor.; Course Rules: Previously MATH 731.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Fall 2021.
MATH 836 Abstract Algebra II: 3 cr. Graduate.; Continuation of MATH 835(731).; Prerequisites: graduate standing; MATH 835(731)(P).; Course Rules: Previously MATH 732.; Last Taught: Spring 2025, Spring 2024, Spring 2023, Spring 2022.
MATH 843 Homological Algebra I: 3 cr. Graduate.; Modules; diagrams; categories; functors; complexes; cohomology; extensions; resolutions; injective and projective systems; graded modules; homological dimension; spectral sequences; derived functors.; Prerequisites: graduate standing; MATH 835(731)(P).; Last Taught: Fall 2019, Fall 2015, Fall 2010, Fall 2002.
MATH 844 Homological Algebra II: 3 cr. Graduate.; Continuation of Math 843.; Prerequisites: grad st; Math 843(P).; Last Taught: Spring 2020, Spring 2016, Spring 2011, Spring 2003.
MATH 853 Differential Geometry: 3 cr. Graduate.; Theory of curves, surfaces, and manifolds in modern terminology. Global results on closed surfaces, geodesics, differential forms and tensor calculus. Introduction to Riemannian geometry.; Prerequisites: graduate standing; MATH 524(522)(P), MATH 624(622)(P), or MATH 724(P).; Course Rules: Previously MATH 709.; Last Taught: Fall 2007, Fall 2000.
MATH 854 Topics in Differential Geometry:: 1-3 cr. Graduate.; Topics may be selected from Riemannian geometry, minimal surfaces and surfaces of prescribed mean curvature, geometric partial differential equations, or related areas of geometry.; Prerequisites: graduate standing; consent of instructor.; Course Rules: Specific topics and any additional prerequisites will be announced in the Schedule of Classes each time the course is offered. Retakable with change in topic to 24 cr max. Previously MATH 809.; Last Taught: Spring 2008, Spring 2001.
MATH 855 Introductory Topology I: 3 cr. Graduate.; Fundamental properties and examples of topological spaces and continuous functions, including compactness, connectedness, metrizability, completeness, product and quotient spaces, homeomorphisms, embedding, extension, and euclidean spaces.; Prerequisites: graduate standing; MATH 524(522)(P), MATH 623(621)(P), or MATH 723(P).; Course Rules: Previously MATH 751.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Fall 2021.
MATH 856 Introductory Topology II: 3 cr. Graduate.; Continuation of MATH 855(751).; Prerequisites: graduate standing; MATH 855(751)(P).; Course Rules: Previously MATH 752.; Last Taught: Spring 2025, Spring 2024, Spring 2023, Spring 2022.
MATH 857 Introduction to Algebraic Topology I: 3 cr. Graduate.; Homology theory; complexes and simplicial homology theory; general homology theories; cohomology rings; applications to manifolds, fixed point theorems, etc.; Prerequisites: graduate standing; MATH 636(632)(P) or MATH 736(P); MATH 551(P) or MATH 855(751)(P) or consent of instructor.; Course Rules: No credit for students with credit in MATH 753.; Last Taught: Fall 2024, Fall 2022.
MATH 858 Introduction to Algebraic Topology II: 3 cr. Graduate.; Continuation of MATH 857.; Prerequisites: graduate standing; MATH 857(P).; Course Rules: Previously MATH 754.; Last Taught: Spring 2025, Spring 2023, Spring 2021, Spring 2019.
MATH 883 Theory of Probability: 3 cr. Graduate.; Measure-theoretic foundations; limit-law theorems; weak and strong laws of large numbers; central limit problem; conditional expectations, martingales; stochastic processes.; Prerequisites: graduate standing; MATH 824(712)(C).; Course Rules: Previously MATH 771.; Last Taught: Fall 2023, Spring 2022, Spring 2020, Spring 2018.
MATH 884 Stochastic Calculus and Applications: 3 cr. Graduate.; Basic stochastic analysis and control theories and techniques; their applications to model and analyze real-world applications in which random noises are inherent.; Prerequisites: graduate standing; MATH 883(P) or consent of instructor.; Course Rules: Previously MATH 777.; Last Taught: Spring 2024.
MATH 888 Candidate for Degree: 0 cr. Graduate.; Available for graduate students who must meet minimum credit load requirement.; Prerequisites: graduate standing.; Course Rules: Fee for 1 cr assessed; unit does not count towards credit load for Fin Aid. Repeatable. Satisfactory/Unsatisfactory only.; Last Taught: Summer 2017.
MATH 890 Master's Thesis: 1-3 cr. Graduate.; Course for students completing supervised Master's Thesis.; Prerequisites: graduate standing; consent of instructor.; Course Rules: Credit(s) count toward Master's degree only if student completes thesis option. Repeatable to 12 cr max. Previously MATH 790.; Last Taught: Spring 2025, Fall 2024, Spring 2024, Summer 2023.
MATH 891 Master's Seminar: 1-3 cr. Graduate.; Course for students completing Master's Project.; Prerequisites: graduate standing; consent of instructor.; Course Rules: May not be taken for credit more than once. Previously MATH 791.; Last Taught: Spring 2020, Summer 2018, Spring 2014, Fall 2013.
MATH 892 Industrial Internship: 1-3 cr. Graduate.; Students earn credits for serving in an industrial internship that involves work of an advanced mathematical nature. They must prepare a report based on the internship.; Prerequisites: graduate standing; consent of instructor.; Course Rules: Retakable to 6 cr max. Previously MATH 792.; Last Taught: Summer 2022, Summer 2021, Summer 2019, Summer 2018.
MATH 893 Scientific Computational Laboratory:: 1-2 cr. Graduate.; Scientific programming and numerical study (in Python/Matlab) on numerical algorithms for solving linear and nonlinear systems, data interpolation/fitting, and differential equations (initial and boundary value problems).; Prerequisites: graduate standing; MATH 810(715)(C).; Course Rules: Retakable with change in topic to 6 cr max. Previously MATH 793.; Last Taught: Fall 2022, Spring 2021, Spring 2019, Spring 2017.
MATH 899 Seminar in Advanced Mathematics: 1-3 cr. Graduate.; Specific topics and any additional prerequisites announced in the Schedule of Classes each time course is offered.; Prerequisites: graduate standing and consent of instructor.; Course Rules: Retakable with change in topic to 24 cr max.; Last Taught: Spring 2025, Fall 2024, Spring 2024, Fall 2023.
MATH 901 Topics in Applied Mathematics:: 3 cr. Graduate.; Specific topics in applied mathematics and any additional prerequisites will be announced in the Schedule of Classes each time the course is offered.; Prerequisites: graduate standing; consent of instructor.; Course Rules: Retakable with change in topic to 24 cr max. Previously MATH 801.; Last Taught: Spring 2022, Fall 2021, Fall 2018, Fall 2016.
MATH 910 Topics in Numerical Analysis:: 3 cr. Graduate.; Specific topics and any additional prerequisites will be announced in the Schedule of Classes each time the course is offered.; Prerequisites: graduate standing; MATH 810(715)(P).; Course Rules: Retakable with change in topic to 24 cr max. Previously MATH 815.; Last Taught: Spring 2024, Spring 2022, Spring 2020, Spring 2018.
MATH 921 Advanced Topics in Real Analysis:: 3 cr. Graduate.; Specific topics and any additional prerequisites will be announced in the Schedule of Classes each time the course is offered.; Prerequisites: graduate standing; MATH 824(712)(P).; Course Rules: Retakable with change in topic to 24 cr max. Previously MATH 821.; Last Taught: Spring 2019, Fall 2017, Fall 2012, Fall 1998.
MATH 941 Advanced Topics in Algebra:: 3 cr. Graduate.; Specific topics and any additional prerequisites will be announced in the Schedule of Classes each time the course is offered.; Prerequisites: graduate standing; MATH 836(732)(P); consent of instructor.; Course Rules: Retakable with change in topic to 24 cr max. Previously MATH 841.; Last Taught: Fall 2023, Fall 2022, Spring 2021, Fall 2020.
MATH 951 Advanced Topics in Topology:: 3 cr. Graduate.; Specific topics and any additional prerequisites will be announced in the Schedule of Classes each time the course is offered.; Prerequisites: graduate standing; MATH 856(752)(P); consent of instructor.; Course Rules: Retakable with change in topic to 24 cr max. Previously MATH 851.; Last Taught: Spring 2025, Spring 2024, Fall 2023, Spring 2023.
MATH 983 Advanced Topics in Probability:: 3 cr. Graduate.; Specific topics and any additional prerequisites will be announced in the Schedule of Classes each time the course is offered.; Prerequisites: graduate standing and consent of instructor.; Course Rules: Retakable with change in topic to 24 cr max. Previously MATH 873.; Last Taught: Fall 2024, Spring 2024, Fall 2023, Fall 2022.
MATH 990 Reading and Research: 1-6 cr. Graduate.; To be arranged with your instructor and department chair.; Prerequisites: grad st.; Course Rules: Retakable.; Last Taught: Summer 2025, Spring 2025, Fall 2024, Summer 2024.

Actuarial Science

ACTSCI 790 Actuarial Internship: 1-6 cr. Graduate.; Apply principles and techniques of actuarial science in business, governmental and other appropriate settings.; Prerequisites: graduate standing.; Course Rules: One cr earned for academic work based on 40 hours in internship. May be retaken to 6 cr max.; Last Taught: Summer 2025, Spring 2025, Summer 2024, Summer 2023.
ACTSCI 791 Investment Mathematics II: 3 cr. Graduate.; Mathematical models in finance and economics, corporate finance.; Prerequisites: graduate standing.; Last Taught: Fall 2024, Fall 2022, Fall 2021, Fall 2020.
ACTSCI 793 Actuarial Models I: 3 cr. Graduate.; Long term insurance coverage, single life survival models, life insurance, annuities, benefit and premium random variables, mortality models.; Prerequisites: graduate standing.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Fall 2020.
ACTSCI 794 Actuarial Models II: 3 cr. Graduate.; Long term insurance coverage, single life survival models, life insurance, annuities, benefit and premium random variables, mortality models.; Prerequisites: grad st; ACTSCI 593(P); MTHSTAT 362(P).; Last Taught: Spring 2025, Spring 2023, Spring 2021.
ACTSCI 796 Actuarial Statistics I: 3 cr. Graduate.; Loss models for short term insurance and their statistical fitting.; Prerequisites: graduate standing.; Last Taught: Fall 2024, Fall 2023, Fall 2021.
ACTSCI 797 Actuarial Statistics II: 3 cr. Graduate.; Credibility theory, ratemaking and reserving.; Prerequisites: graduate standing.; Last Taught: Spring 2024, Spring 2022, Spring 2020.
ACTSCI 891 Actuarial Risk Theory: 3 cr. Graduate.; Risk models; premium principles; reinsurance contracts; ruin theory; ordering of risks; bonus-malus systems; IBNR techniques.; Prerequisites: grad st; MATH 571(P) & ACTSCI 596(P), or consent of instructor.; Course Rules: Previously MTHSTAT 795.; Last Taught: Spring 2024, Spring 2022, Fall 2019, Fall 2017.
ACTSCI 895 Topics in Actuarial Science:: 3 cr. Graduate.; Advanced topics in actuarial science.; Prerequisites: graduate standing; 6 credits of 700 level ACTSCI coursework.; Course Rules: Repeatable to 9 credits max. Counts as a repeat of MTHSTAT 896 with a similar topic.; Last Taught: Spring 2023, Spring 2021.

Statistics

MTHSTAT 361 Introduction to Mathematical Statistics I: 3 cr. Undergraduate/Graduate.; Probability spaces; discrete and continuous, univariate and multivariate distributions; moments; independence, random sampling, sampling distributions; normal and related distributions; point and interval estimation.; Prerequisites: junior standing or consent of instructor, and MATH 212(P) or MATH 233(P).; Course Rules: Not recommended for graduate students in math, or students not planning to take MTHSTAT 362.; Last Taught: Spring 2025, Fall 2024.
MTHSTAT 361G Introduction to Mathematical Statistics I: 3 cr. Undergraduate/Graduate.; Probability spaces; discrete and continuous, univariate and multivariate distributions; moments; independence, random sampling, sampling distributions; normal and related distributions; point and interval estimation.; Prerequisites: junior standing or consent of instructor, and MATH 212(P) or MATH 233(P).; Course Rules: Not recommended for graduate students in math, or students not planning to take MTHSTAT 362.; Last Taught: Spring 2025, Fall 2024.
MTHSTAT 362 Introduction to Mathematical Statistics II: 3 cr. Undergraduate/Graduate.; Testing statistical hypothesis; linear hypothesis; regression; analysis of variance and experimental designs; distribution-free methods; sequential methods.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 361(P).; Course Rules: Not recommended for graduate students in math.; Last Taught: Spring 2025, Fall 2024.
MTHSTAT 362G Introduction to Mathematical Statistics II: 3 cr. Undergraduate/Graduate.; Testing statistical hypothesis; linear hypothesis; regression; analysis of variance and experimental designs; distribution-free methods; sequential methods.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 361(P).; Course Rules: Not recommended for graduate students in math.; Last Taught: Spring 2025, Fall 2024.
MTHSTAT 562 Design of Experiments: 3 cr. Undergraduate/Graduate.; Latin squares; incomplete block designs; factorial experiments; confounding; partial confounding; split-plot experiments; fractional replication.; Prerequisites: junior standing or consent of instructor; MTHSTAT 362(P); and MATH 234(P) or MATH 240(P).; Last Taught: Fall 2008, Fall 2006.
MTHSTAT 562G Design of Experiments: 3 cr. Undergraduate/Graduate.; Latin squares; incomplete block designs; factorial experiments; confounding; partial confounding; split-plot experiments; fractional replication.; Prerequisites: junior standing or consent of instructor; MTHSTAT 362(P); and MATH 234(P) or MATH 240(P).; Last Taught: Fall 2008, Fall 2006.
MTHSTAT 563 Regression Analysis: 3 cr. Undergraduate/Graduate.; Straight line, polynomial and multiple regression; multiple and partial correlation; testing hypotheses in regression; residual analysis.; Prerequisites: junior standing or consent of instructor; and MTHSTAT 467(P) or MTHSTAT 362(P).; Last Taught: Fall 2024.
MTHSTAT 563G Regression Analysis: 3 cr. Undergraduate/Graduate.; Straight line, polynomial and multiple regression; multiple and partial correlation; testing hypotheses in regression; residual analysis.; Prerequisites: junior standing or consent of instructor; and MTHSTAT 467(P) or MTHSTAT 362(P).; Last Taught: Fall 2024.
MTHSTAT 564 Time Series Analysis: 3 cr. Undergraduate/Graduate.; Autocorrelation; spectral density; linear models; forecasting; model identification and estimation.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 362(P).; Last Taught: Spring 2025, Spring 2024.
MTHSTAT 564G Time Series Analysis: 3 cr. Undergraduate/Graduate.; Autocorrelation; spectral density; linear models; forecasting; model identification and estimation.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 362(P).; Last Taught: Spring 2025, Spring 2024.
MTHSTAT 565 Nonparametric Statistics: 3 cr. Undergraduate/Graduate.; Sign, rank and permutation tests; tests of randomness and independence; methods for discrete data and zeroes and ties; power and efficiency of nonparametric tests.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 362(P).; Last Taught: Spring 2012, Spring 2010.
MTHSTAT 565G Nonparametric Statistics: 3 cr. Undergraduate/Graduate.; Sign, rank and permutation tests; tests of randomness and independence; methods for discrete data and zeroes and ties; power and efficiency of nonparametric tests.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 362(P).; Last Taught: Spring 2012, Spring 2010.
MTHSTAT 566 Computational Statistics: 3 cr. Undergraduate/Graduate.; Basics of programming and optimization techniques; resampling, bootstrap, and Monte Carlo methods; design and analysis of simulation studies.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 362(P).; Last Taught: Fall 2024, Fall 2023.
MTHSTAT 566G Computational Statistics: 3 cr. Undergraduate/Graduate.; Basics of programming and optimization techniques; resampling, bootstrap, and Monte Carlo methods; design and analysis of simulation studies.; Prerequisites: junior standing or consent of instructor, and MTHSTAT 362(P).; Last Taught: Fall 2024, Fall 2023.
MTHSTAT 568 Multivariate Statistical Analysis: 3 cr. Undergraduate/Graduate.; Multivariate normal distribution; Wishart distribution; Hotelling's T2; multivariate normal distribution; multivariate analysis of variance; classification problems.; Prerequisites: junior standing or consent of instructor; MTHSTAT 362(P); and MATH 234(P) or MATH 240(P).; Last Taught: Spring 2025, Spring 2024.
MTHSTAT 568G Multivariate Statistical Analysis: 3 cr. Undergraduate/Graduate.; Multivariate normal distribution; Wishart distribution; Hotelling's T2; multivariate normal distribution; multivariate analysis of variance; classification problems.; Prerequisites: junior standing or consent of instructor; MTHSTAT 362(P); and MATH 234(P) or MATH 240(P).; Last Taught: Spring 2025, Spring 2024.
MTHSTAT 760 Data Preparation and Exploration: 3 cr. Graduate.; Data preparation, including data cleaning, imputation of missing data, detection of outliers, feature selection, data transformations, and data exploration.; Prerequisites: graduate standing and MTHSTAT 362(P); or consent of instructor.; Course Rules: No cr for students with cr in MTHSTAT 560.
MTHSTAT 763 Regression Analysis: 3 cr. Graduate.; Introduction to linear statistical models and methods. Core topics include: simple and multiple linear regression, model checking, variable transformations, outlier diagnostics, variable selection, and generalized linear models such as logistic regression.; Prerequisites: graduate standing; MTHSTAT 362(P) or MTHSTAT 467(P); or consent of instructor.; Course Rules: No credit for students with credit in MTHSTAT 563.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Fall 2021.
MTHSTAT 764 Time Series Analysis: 3 cr. Graduate.; Introduction to statistical models and methods for time series data analysis. Core topics include: exponential smoothing, ARIMA models, transfer functions and intervention models, state-space models, GARCH models.; Prerequisites: graduate standing; MTSTAT 362(P) or MTHSTAT 467(P); or consent of instructor.; Course Rules: No credit for students with credit in MTHSTAT 564.; Last Taught: Spring 2025, Spring 2024, Spring 2023, Spring 2022.
MTHSTAT 765 Nonparametric Statistics: 3 cr. Graduate.; Nonparametric and smoothing statistical methods for data analysis. Core topics include: order statistics, rank tests, kernel density estimation, robust linear regression, kernel and spline smoothing for curve fitting, bootstrap inference.; Prerequisites: graduate standing and MTHSTAT 362(P) or consent of instructor.; Course Rules: No credit for students with credit in MTHSTAT 565. Counts as repeat of MTHSTAT 869 topic Nonparametric and Smoothing Statistical Methods.
MTHSTAT 766 Computational Statistics: 3 cr. Graduate.; Introduction to statistical computer programming. Main topics include: basics of programming in R or similar language; optimization and root-finding algorithms; Monte Carlo numerical integration; random sample generation; bootstrap and permutation tests; comparative simulation studies.; Prerequisites: graduate standing; MTHSTAT 362(P) or MTHSTAT 467(P), or consent of instructor.; Course Rules: No credit for students with credit in MTHSTAT 566.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Fall 2021.
MTHSTAT 768 Multivariate Statistical Analysis: 3 cr. Graduate.; Introduction to statistical models and methods for multivariate data analysis. Core topics include: multivariate random vectors and distributions, principal component analysis, canonical correlation analysis, factor analysis, classification and discrimination, clustering techniques, and multidimensional scaling.; Prerequisites: graduate standing; MTHSTAT 362(P) or MTHSTAT 467(P), or consent of instructor.; Course Rules: No credit for students with credit in MTHSTAT 568.; Last Taught: Spring 2025, Spring 2024, Spring 2023, Spring 2022.
MTHSTAT 869 Advanced Topics in Mathematical Statistics:: 3 cr. Graduate.; Specific topics and any additional prerequisites will be announced in the Timetable each time the course is offered.; Prerequisites: graduate standing and MTHSTAT 762(P).; Course Rules: Retakable with change in topic to 24 cr max.; Last Taught: Fall 2023, Fall 2021, Fall 2020, Spring 2019.
MTHSTAT 871 Mathematical Statistics I: 3 cr. Graduate.; Probability and distribution theory; point and interval estimation; testing hypotheses; large sample inference; nonparametric inference; sequential analysis.; Prerequisites: graduate standing and MATH 524(522)(C), MATH 624(622)(C), or MATH 724(C).; Course Rules: Previously MTHSTAT 761.; Last Taught: Fall 2024, Fall 2023, Fall 2022, Fall 2021.
MTHSTAT 872 Mathematical Statistics II: 3 cr. Graduate.; Continuation of MTHSTAT 871(761).; Prerequisites: graduate standing and MTHSTAT 871(761)(P).; Course Rules: Previously MTHSTAT 762.; Last Taught: Spring 2025, Spring 2024, Spring 2023, Spring 2022.