Bachelors (BS) in Mathematics

Overview

The math major offers a 43- to 44-semester-hour course of study. Students are required to obtain a minimum grade of C- in all courses taken for the major.

Program Objectives

Graduates with a BS in mathematics will:

  • Demonstrate computational competency including appropriate uses of technology
  • Understand and appreciate applications of mathematics
  • Be prepared for graduate study in mathematics
  • Apply mathematical theory, concepts and methods of inquiry to advanced topics
  • Understand the development of a mathematical system
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Major Requirements

Complete the following:

A foundational course for the study of computer science and information systems. The course covers an overview of programming methodology and gives the student an ability to write computer programs using standard style and structure. Programming projects are completed in one or more high-level languages. Prerequisite: high school algebra or equivalent. Additional course fee required.
The class is a study of limits limits of functions, applications of derivatives, and an introduction to integration. Prerequisite: MATH 190 Precalculus Mathematics or equivalent.
A study of differential and integral calculus for functions of one variable. Additional topics include polar coordinates, infinite series, and parametric equations. Prerequisite: MATH 201 Calculus I.
This course is intended to facilitate a smooth transition from lower-level, computation-oriented math courses to upper-level, more theoretical courses. Topics include symbolic logic, methods of proof, and set theory. Prerequisite: MATH 201 Calculus I.
This course is an extension of MATH 201 and 202 Calculus I and II to functions of more than one variable. Topics include vectors, vector-valued functions, partial derivatives, and multiple integration. Prerequisite: MATH 202 Calculus II.
A seminar for junior and senior math majors to explore current topics selected by the instructor. Emphasis will be placed on significant student involvement in the classroom. Prerequisite: junior or senior status.

Choose 3 of the following sequences

Sequence 1

A study of the theory, methods of solution, and applications of ordinary differential equations and the techniques of linear algebra necessary to accomplish that study. Prerequisite: MATH 202 Calculus II.
A study of numerical solutions of mathematical problems, including nonlinear equations, systems of linear equations, polynomial approximations, root finding, integration, and differential equations. Computer programs are written to solve these problems. (Identical to CSIS 300.) Prerequisites: MATH 311 Differential Equations with Linear Algebra and either CSIS 201 Introduction to Computer Science I or ENGR 152 Engineering Principles II.

Sequence 2

A study of sample spaces, combinatorial methods, discrete and continuous distributions, moment-generating functions, and the central limit theorem. Prerequisites: MATH 290 Introduction to Proofs and MATH 301 Calculus III.
A study of statistical methods - including estimators, confidence intervals, tests of statistical hypotheses, and correlation analyses - from a theoretical point of view, including applications. Prerequisite: MATH 331 Probability.

Sequence 3

A study of matrices and their properties and application, linear transformations, and vector spaces. Prerequisites: MATH 310 Differential Equations with Linear Algebra.
A study of groups, rings, integral domains, fields,polynomial rings, and algebraic number systems. Prerequisites: MATH 411 Advanced Linear Algebra.

Sequence 4

An introduction to the fundamental concepts in real analysis including limits, continuity, sequences, series, differentiation, and integration. Prerequisites: MATH 290 Introduction to Proofs and MATH 301 Calculus III.
Class serves as a continued study of the fundamental concepts in real analysis including limits, continuity, sequences, series, differentiation, and integration. Prerequisite: MATH 421 Real Analysis I.
Any mathematics (MATH) coursework at 300-level or above, excluding MATH 330 Engineering Statistics.