300

MATH-30000 Differential Equations

This course focuses on ordinary differential equations. It includes variable separable equations, equations with homogeneous coefficients, exact equations, first order linear equations, applications, homogeneous linear equations with constant coefficients, undetermined coefficients, variation of parameters, power series solutions, linear systems of equations and Laplace transforms.

3

Prerequisites

MATH 25000

MATH-30500 Linear Algebra

The study of matrices and matrix algebra, systems of linear equations, matrix inverse and elementary matrices, properties of determinants, vector spaces, especially Rn vectors, linear independence, basis sets, inner products and orthogonality.

3

Prerequisites

MATH 20100 or MATH 24000

MATH-30600 Advanced Linear Algebra

This course begins with the Gram-Schmidt process. Other topics of study are Eigenvalues and Eigenvectors, change of basis, linear transformations, diagonalization, symmetrical and similar matrices. Applications of these concepts include quadratic forms and linear programming.
3

Prerequisites

MATH 30500

MATH-30700 Applied Linear Algebra

The study of matrices and matrix algebra, systems of linear equations, determinants, and vector spaces with a focus on applications. Topics include LU-decomposition, inner products, orthogonality, the Gram-Schmidt process, and eigenvalue problems. Applications include differential equations, Markov processes, and problems from computer science.
3

Prerequisites

MATH 20100 or MATH 24000

MATH-31000 Discrete Mathematics

An introduction to discrete structures, this course covers such topics as sets, functions, relations, basic logic, proof techniques, the basics of counting and probability, algorithms, graphs and trees.

4

Prerequisites

MATH 12000 or successful completion of three years of high school Mathematics including Trigonometry

MATH-31100 Mathematical Techniques for the Sciences

This course prepares science students to organize, analyze, visualize, and interpret their data using mathematical techniques. Students learn to use a variety of computer applications to model systems and process measurement data specific to their discipline. They also learn the mathematics that powers these applications.

4

Prerequisites

Senior status and MATH 20100, MATH 21100 or MATH 24000

MATH-31400 Applied Probability and Statistics

Random variables, conditional probability and independence, mathematical expectation, discrete and continuous distributions, introduction to estimation theory and hypothesis testing. This course is required for the mathematics major. Offered every semester.
3

Prerequisites

MATH 20100 or MATH 24000

MATH-31500 Probability and Theory

The course covers the basic principles of probability and statistics, with applications. Topics include descriptive statistics, the axioms of probability, counting techniques, conditional probability, independence, discrete and continuous random variables, expected value, variation, normal, binomial and Poisson distributions, probability density functions, joint distributions, and point estimation. This course is an elective that completes the statistics sequence. Offered every Fall.

3

Prerequisites

MATH 20100 and MATH 32500

MATH-31600 Probability and Statistics 2

A continuation of MATH 31500. This course covers confidence intervals for mean, proportion, and standard deviation, hypothesis testing, inferences based on two samples, analysis of paired data, analysis of variance, and linear regression and correlation

3

Prerequisites

MATH 31500

MATH-32000 Theories of Geometry

The study of Euclid’s geometry, its strengths and weaknesses, famous and advanced theorems and its impact on the development of geometry. This latter includes axiomatic systems and proofs, the parallel axiom and the analysis of constructions and transformation geometry.

3

Prerequisites

MATH 20100

MATH-32500 Foundations of Advanced Mathematics

This course provides a gateway into the more abstract and theoretical expectations of upper-level mathematics courses. The course includes a brief introduction of set theory, symbolic logic, complex numbers, and relations especially as they apply to proof. The course also introduces methods of mathematical proof such as direct proof, indirect proof, proof by contradiction, and proof by induction.
3

Prerequisites

MATH 20100

MATH-32700 Introduction to Number Theory

Number theory is the study of the integers. Topics include divisibility, primes, congruences, number theoretic functions, quadratic residues, and primitive roots, with additional topics selected from among Diophantine equations, Pythagorean triples, Fermat's Last Theorem, sums of squares, continued fractions, cryptography, primality testing, and Pell's equation.
3

Prerequisites

MATH 20000 or MATH 24000

MATH-33000 History of Mathematics 1

The history of Mathematics from the Babylonian period to the early 17th century. The mathematical emphasis is on famous theorems of each era. Biographical information on mathematicians and historical analysis of each era are included.

3

Prerequisites

MATH 20100

MATH-33100 History of Mathematics 2

The history of mathematics beginning with the 17th century to modern time. The mathematical emphasis is on famous theorems of each era. Biographical information on mathematicians and historical analysis of each era are included.
3

Prerequisites

MATH 20100

MATH-35000 Numerical Analysis

Students examine floating point arithmetic, polynomial interpolation, numerical methods of integration, numerical solution of non-linear equations and numerical linear algebra.

3

Prerequisites

MATH 20100 or MATH 24000 and CPSC 21000 or CPSC 31500

MATH-36000 Real Analysis 1

This course provides a formal presentation of the real number system and Euclidean vector spaces (inner products, norms and distance functions), compactness and connectedness, continuity, differentiation, and integration.

3

Prerequisites

Grade of C- or higher in MATH 25000 and MATH 32500

MATH-36100 Real Analysis 2

A continuation of MATH 36000, this course studies uniform convergence, sequences and series of functions, differential and integral calculus for functions of several variables, the Implicit Function Theorem and the Inverse Function Theorem.

3

Prerequisites

MATH 36000