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for Mathematics and Statistics

200-level
300-level
400-level
500-level
Honors courses
Graduate courses

Undergraduate Courses

1016-200 Algebra

1016-204 College Algebra & Trigonometry

1016-205 Discrete Mathematics for Technologists I

1016-206 Discrete Mathematics for Technologists II

1016-210 Math Seminar

1016-211 Math Seminar

1016-214 Elementary Calculus I

1016-215 Elementary Calculus II

1016-225 Algebra for Management Science

1016-226 Calculus for Management Science

1016-228 Analytic Geometry

1016-230 Precalculus for Engineering Technology

1016-231 Calculus for Engineering Technology I

1016-232 Calculus for Engineering Technology II

1016-258 Introduction to Symbolic Computing

1016-260 Statistical Computing with Excel & Minitab

1016-261 Calculus with Foundations I

1016-262 Calculus with Foundations II

1016-265 Discrete Math I

1016-271 Calculus A

1016-272 Calculus B

1016-273 Calculus C

1016-281 Project Based Calculus I

1016-282 Project Based Calculus II

1016-283 Project Based Calculus III


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1016-304 Differential Equations for Engineering Technology

1016-305 Multivariable Calculus

1016-306 Differential Equations I

1016-314 Engineering Statistics

1016-318 Matrices & Boundary Value Problems

1016-319 Data Analysis I

1016-320 Data Analysis II

1016-328 Engineering Mathematics

1016-331 Linear Algebra I
(Formerly "Matrix Algebra")

1016-351 Probability

1016-352 Applied Statistics I

1016-353 Applied Statistics II

1016-354 Introduction to Regression Analysis

1016-355 Design of Experiments

1016-358 Statistical Quality Control

1016-365 Combinatorial Mathematics

1016-366 Discrete Mathematics II

1016-370 Undergraduate Research I

1016-379 Data Analysis I Laboratory

1016-380 Data Analysis II Laboratory

1016-385 History of Mathematics

1016-399 Mathematics Co-op Seminar


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1016-407 Dynamical Systems

1016-410 Vector Calculus

1016-411 Real Variables I

1016-412 Real Variables II

1016-415 Statistical Analysis for Bioinformatics

1016-420 Complex Variables

1016-432 Linear Algebra II

1016-451 Mathematical Statistics I

1016-452 Mathematical Statistics II

1016-453 SAS Programming

1016-454 Non-parametric Statistics

1016-457 Research Sampling Techniques

1016-461 Mathematical Modeling

1016-465 Linear Optimization

1016-466 Advanced Optimization

1016-467 Theory of Graphs & Networks

1016-469 Mathematical Simulation

1016-470 Undergraduate Research II

1016-481 Problem Solving

1016-485 Number Theory


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1016-501 Advanced Differential Equations

1016-502 Advanced Differential Equations II

1016-511 Numerical Analysis

1016-512 Numerical Linear Algebra

1016-524 Introduction to Time Series

1016-525 Stochastic Processes

1016-531 Abstract Algebra I

1016-532 Abstract Algebra II

1016-542 Actuarial Mathematics

1016-551 Topics in Algebra

1016-552 Topics in Analysis

1016-555 Statistics Seminar I

1016-558 Multivariate Analysis

1016-559 Special Topics

1016-561 Complex Analysis I

1016-562 Complex Analysis II

1016-565 Game Theory

1016-566 Nonlinear Optimization Theory

1016-571 Topology I

1016-572 Topology II

1016-581 Introduction to Linear Models

1016-599 Mathematics: Independent Study


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Honors Courses

1055-265 Honors Discrete Mathematics

1055-319 Honors Research Statistics

1055-361 Honors Codes and Ciphers

1055-366 Honors Discrete Mathematics II


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Graduate Courses

1016-620 Fourier Transform

1016-706 Advanced Differential Equations

1016-711 Numerical Analysis

1016-712 Numerical Linear Algebra

1016-713 Mathematical Methods in Scientific Computing

1016-715 Statistical Models for Bioinformatics

1016-720 Complex Variables

1016-725 Stochastic Processes

1016-764 Topics in Logic, Set Theory & Computability

1016-766 Optimization Theory

1016-767 Combinatorics

1016-768 Graph Theory

1016-807 Boundary Value Problems

1016-808 Partial Differential Equations

1016-812 Wavelets and Applications

1016-879 Thesis or Project Work

1016-899 Independent Study


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