## Mathematics Courses

**MATH 110 – Finite Mathematics with Applications (3 credits)**

Includes topics such as sets, logic, probability, statistics, and counting. Other topics are at the

discretion of the instructor. Designed for the non-major.

**MATH 111 – Precalculus (3 credits)**

Emphasis on elementary functions including rational, exponential, logarithmic, and trigonometric functions. Designed for students who intend to take calculus.

**MATH 115 – Introduction to Mathematical Modeling (3 credits)**

Mathematical topics include linear functions, linear regression, curve fitting, probability models, and difference equations. Emphasis on environmental issues such as population growth, pollution, natural disasters, epidemics, genetics, and patterns in nature.

**MATH 120 – Quantitative Reasoning for the Sciences (3 credits)**

Designed to prepare students for success in the sciences by providing them with appropriate mathematics and quantitative reasoning skills. Course topics include measurement and estimation, growth and decay phenomena, scaling transformations, and an introduction to probability and statistics.

**MATH ****121 – Calculus I (4 credits)**

First course in calculus. Topics include limits, derivatives and their applications, antiderivatives, definite integrals, the fundamental theorems of calculus, the substitution rule for integrals, and transcendental functions.

**MATH 122 – Calculus II (4 credits)**

**Prerequisite: MATH 121. **Topics include techniques and applications of integration, sequences, and series.

**MATH 200 – Introduction to Statistics (3 credits)**

**MATH 200 – Introduction to Statistics (3 credits)**

~~First course in statistical methods. Includes descriptive and inferential techniques and probability, with examples from diverse fields. Topics vary with instructor and may also include sampling methods, regression analysis, and computer applications~~.

**MATH 201 – Introduction to Discrete Mathematics (3 credits)**

Designed to prepare prospective mathematics majors for advanced study in the field by introducing them to a higher level of mathematical abstraction. Topics include sets and logic, functions and relations, methods of mathematical proof including mathematical induction, and elementary counting techniques. (Prospective mathematics majors should take this course during their freshman year.)

**MATH 204 – Mathematical Concepts and Methods (4 credits)**

**Prerequisite: EDUC 203. **Mathematical concepts and methods of teaching for the elementary school. Topics include number systems and their properties, problem solving, and topics in number theory. Course intended for students certifying to teach grades PreK-6. Significant field experience required. (3 lecture credits, 1 practicum credit).

**MATH 205 – Selected Topics in Mathematics (1-3 credits)**

**Prerequisite: Course dependent.** Opportunity for additional study of lower-level topics in

mathematics.

**MATH 207 – History of Mathematics (3 credits)**

The history of mathematics begins with the early numbering systems and mathematics of the Egyptians and the Babylonians. The course then turns to the Greeks and their emphasis on logical deduction and geometry. The Arabs develop algebra in the Middle Ages, and calculus is created during the Age of Reason. The development of individual branches of mathematics then is studied (probability, number theory, non-Euclidean geometry, set theory, and topology). The course ends with the Computer Age and implications for the future.

**MATH 223 – Calculus III (3 credits)**

**MATH 223 – Calculus III (3 credits)**

**Prerequisite: MATH 122. **Includes analytic geometry, parametric equations, polar

~~ coordinates, improper integrals, L’Hôpital’s rule, sequences, and infinite series.~~

**MATH 224 – Multivariable Calculus (4 credits)**

**Prerequisite: MATH 122. **Topics include parametric equations, vectors, polar, cylindrical, and spherical coordinates, vector-valued functions, functions of several variables, partial derivatives, multiple integrals, and vector calculus.

**MATH 280 – Statistical Methods (3 credits)**

**MATH 280 – Statistical Methods (3 credits)**

**Prerequisite: MATH 200 . **Second course in statistical methods. Includes one-way and

~~ higher ANOVA, multiple regression, categorical data analysis, and nonparametric methods with~~

~~ examples from diverse fields. Topics vary with instructor and may also include time series and~~

~~ survival analysis.~~

**MATH 300 – Linear Algebra (3 credits)**

**Prerequisite: MATH 122 and either MATH 201 or CPSC 125A.** An introduction

to linear algebra. Usually includes matrix algebra, systems of equations, vector spaces,

inner product spaces, linear transformations, and eigenspaces.

**MATH 312 – Differential Equations (3 credits)**

**Prerequisite: MATH 122. **Ordinary differential equations, which may include Laplace transformations, linear differential equations, applications, approximations, and linear systems of equations.

**MATH 321 – Number Theory (3 credits)**

**Prerequisite: MATH 201 or CPSC 125A.** An elementary, theoretical study of the properties of

the integers.

**MATH 325 – Discrete Mathematics (3 credits)**

**Prerequisite: MATH 201 or CPSC 125A. **Includes topics such as discrete probability, graph theory, recurrence relations, topics from number theory, semigroups, formal languages and grammars, finite automata, Turing machines, and coding theory.

**MATH 330 – Foundations of Advanced Mathematics (3 credits)**

**Prerequisite: MATH 122 and MATH 201. **Introduction to mathematical reasoning and rigor. Includes topics such as basic logic, set theory, mathematical induction, relations, functions, sequences, cardinality, elementary number theory, and axiomatic construction of the real numbers. Emphasis placed on reading mathematics, understanding mathematical

concepts, and writing proofs.

**MATH 351, 352 – Numerical Analysis I, II (3 credits, 3 credits)**

**Prerequisite: MATH 300 or MATH 312. **MATH 351 introduces the theory and applications of the basic computational techniques of numerical approximation. Topics include an introduction to computer programming and algorithms, root finding, interpolation, polynomial approximation, numerical differentiation and integration, and numerical linear algebra. MATH 352 expands on the basic approximation techniques to include scientific computing. Topics include methods of simulation, initial value problems and boundary value problems for ordinary/partial differential equations, and applications in science and engineering. Only in sequence.

**MATH 361 – Topics in Mathematics (3 credits)**

**Prerequisite: Course dependent. **Opportunity for additional study of mathematical topics.

**MATH 372 – Modern Geometry (3 credits)**

**Prerequisite: MATH 300. **Axiomatic development of various geometries including

modern Euclidean and non-Euclidean geometry, finite geometries, hyperbolic

geometry, and elliptic geometry. Topics could also include convexity, transformational

geometry, projective geometry, and constructability.

**MATH 381, 382 – Probability and Statistical Inference (3 credits, 3 credits)**

**MATH 381, 382 – Probability and Statistical Inference (3 credits, 3 credits)**

**Prerequisite: MATH 122. **An introduction to probability theory and calculus-based

~~ statistics including probability distributions of discrete and continuous random variables,~~

~~ functions of random variables, methods of estimation, and statistical inference. Only in~~

~~ sequence.~~

**MATH 411 – Chaotic Dynamical Systems (3 credits)**

**Prerequisite: MATH 122. **Chaotic dynamical systems including iteration, graphical

analysis, periodic points, bifurcations, the transition to chaos, fractals, Julia sets and the

Mandelbrot set.

**MATH 412 – Complex Variables (3 credits)**

**Corequisite: MATH 471. **Analytic functions, Cauchy-Riemann conditions, integration, power series, calculus of residues, conformal mappings and applications.

**MATH 421 – Applied Partial Differential Equations (3 credits)**

**Prerequisites: MATH 224 and 312.** This course introduces three main types of partial differential equations (PDEs): parabolic, elliptic, and hyperbolic as well as mathematical and computational tools for solving PDEs. It balances mathematical rigor, computational techniques, and real-world applications. Topics include heat equation, method of separation of variables, Laplace’s equation, Fourier series, wave equation, finite difference/element methods, and high-dimensional PDEs.

**MATH 431, 432 – Abstract Algebra I, II (3 credits, 3 credits)**

**Prerequisite: MATH 300 and at least one other 300- or 400-level mathematics course. **Mathematical systems, including groups, rings, fields, and vector spaces. Only in sequence.

**MATH 441 – Topology (3 credits)**

**Prerequisite: MATH 300 and at least one other 300- or 400-level mathematics course. **Includes topics from point-set topology such as continuity, connectedness, compactness, and product and quotient constructions.

**MATH 461 – Topics in Mathematics (3 credits)**

**Prerequisite: Course dependent. **Topics such as partial differential equations, optimization,

Fourier series, ring theory, cryptology, algebraic number theory, coding theory, and modeling.

May be taken up to three times for credit.

**MATH 471, 472 – Real Analysis I, II (3 credits, 3 credits)**

**Prerequisite: MATH 300 and at least one other 300- or 400-level mathematics course. **A rigorous, real analysis approach to the theory of calculus. Only in sequence.

**MATH 481 – Theory of Interest (3 credits)**

**Prerequisite: MATH 122. **This course introduces the mathematical concepts underlying the theory of interest. Topics include measurement of interest (including accumulated and present value factors), annuities, yield rates, amortization schedules and sinking funds, bonds and related securities, derivative instruments, and hedging and investment strategies.

**MATH 491, 492 – Directed Study I, II (1-3 credits, 1-3 credits)**

**Prerequisite: Departmental permission. **Individual study beyond the scope of normal course offerings, done under the direction of a faculty member. May lead to graduation with Honors in Mathematics.

**MATH 499 – Internship (credits variable)**

Supervised off-campus experience, developed in consultation with the department. Does not count in the major program or minors.

## Statistics Courses

**STAT 180 – Introduction to Statistics (3 credits)**

First course in statistical methods. Includes descriptive and inferential techniques and probability, with examples from diverse fields. Topics vary with instructor and may also include sampling methods, regression analysis, and computer applications.

**STAT 205 – Selected Topics in Statistics (1-3 credits)**

**Prerequisite: Course dependent.** Opportunity for additional study of lower-level topics in statistics.

**STAT 280 – Statistical Methods (3 credits)**

**Prerequisite: STAT 180 . **Second course in statistical methods. Includes one-way and higher ANOVA, multiple regression, categorical data analysis, and nonparametric methods with examples from diverse fields. Topics vary with instructor and may also include time series and survival analysis.

**STAT 320 – Applied Regression Analysis (3 credits)**

**Prerequisite: STAT 180. **Topics include simple linear regression, multiple linear regression, categorical predictors, model building principles, residual analysis, multicollinearity and other regression problems, robust regression, nonlinear regression, logistic regression, time series and generalized linear models.

**STAT 361 – Topics in Statistics (3 credits)**

**Prerequisite: Course dependent. **Opportunity for additional study of statistical topics.

**STAT 381, 382 – Probability and Statistical Inference (3 credits, 3 credits)**

**Prerequisite: MATH 122. **An introduction to probability theory and calculus-based

statistics including probability distributions of discrete and continuous random variables,

functions of random variables, methods of estimation, and statistical inference. Only in

sequence.

**STAT 461 – Topics in Statistics (3 credits)**

**Prerequisite: Course dependent. **Topics such as time series analysis, computational statistics, design of experiments, probability theory, stochastic processes, and queuing theory. May be taken up to three times for credit.

**STAT 491, 492 – Directed Study I, II (1-3 credits, 1-3 credits)**

**Prerequisite: Departmental permission. **Individual study beyond the scope of normal course offerings, done under the direction of a faculty member. May lead to graduation with Honors in Mathematics.

**STAT 499 – Internship (credits variable)**

Supervised off-campus experience, developed in consultation with the department. Does not count in the major program or minors.