# Mathematics

## Courses

**MATH 111**

**- Basic College Mathematics**

**(3 Credits)**

Basic college algebra; linear and quadratic equations, inequalities, functions and graphs of functions, exponential and logarithm functions, systems of equations.

**Prerequisites:**placement through the Math Assessment of Prerequisites (MAP).

**MATH 111I**

**- Intensive Basic College Mathematics**

**(4 Credits)**

An intensive treatment of the topics covered in MATH 111.

**Prerequisites:**placement through the Math Assessment of Prerequisites (MAP).

**MATH 112**

**- Trigonometry**

**(2 Credits)**

**MATH 115**

**- Precalculus Mathematics**

**(4 Credits)**

Topics in algebra and trigonometry specifically needed for MATH 141, MATH 142, MATH 241. Subsets of the real line, absolute value; polynomial, rational, inverse, logarithmic, exponential functions; circular functions; analytic trigonometry.

**Prerequisites:**C or better in MATH 111or MATH 111I, or placement through the Math Assessment of Prerequisites (MAP).

**MATH 116**

**- Brief Precalculus Mathematics**

**(2 Credits)**

Essential algebra and trigonometry topics for Calculus, including working with equations that involve polynomials, rational functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions. Intended for students with prior experience in Precalculus, but not ready for MATH 141.

**MATH 122**

**- Calculus for Business Administration and Social Sciences**

**(3 Credits)**

Derivatives and integrals of elementary algebraic, exponential, and logarithmic functions. Maxima, minima, rate of change, motion, work, area under a curve, and volume.

**Carolina Core:**ARP

**MATH 141**

**- Calculus I**

**(4 Credits)**

Functions, limits, derivatives, introduction to integrals, the Fundamental Theorem of Calculus, applications of derivatives and integrals. Four classroom hours and one laboratory hour per week.

**Carolina Core:**ARP

**MATH 142**

**- Calculus II**

**(4 Credits)**

Methods of integration, sequences and series, approximations. Four classroom hours and one laboratory hour per week.

**Prerequisites:**C or better in MATH 141.

**Carolina Core:**ARP

**MATH 151**

**- Calculus Workshop I**

**(1 Credit)**

Small study group practice in applications of calculus. For elective credit only.

**Corequisite:**MATH 141.

**MATH 152**

**- Calculus Workshop II**

**(1 Credit)**

**MATH 170**

**- Finite Mathematics**

**(3 Credits)**

Elementary matrix theory; systems of linear equations; permutations and combinations; probability and Markov chains; linear programming and game theory.

**Carolina Core:**ARP

**MATH 172**

**- Mathematical Modeling for the Life Sciences**

**(3 Credits)**

Biological modeling with differential and difference equations; techniques of model modifications; analytic, numerical, and graphical solution methods; equilibria, stability, and long-term system behavior; geometric series; vectors, matrices, eigenvalues, and eigenvectors. Applications principally to population dynamics and compartment models.

**Carolina Core:**ARP

**MATH 174**

**- Discrete Mathematics for Computer Science**

**(3 Credits)**

Logic, number theory, sequences, series, recursion, mathematical induction, set theory, enumeration, functions, relations, graphs and trees. Connections to computers and to programming are emphasized when possible.

**Prerequisites:**C or better in MATH 112 or above, or placement through the Math Assessment of Prerequisites (MAP).

**Carolina Core:**ARP

**MATH 198**

**- Introduction to Careers and Research in the Mathematical Sciences**

**(1 Credit)**

An overview of different areas of mathematical research and career opportunities for mathematics majors. Pass/fail only.

**Prerequisites:**C or better in MATH 141.

**Graduation with Leadership Distinction:**GLD: Research

**MATH 221**

**- Basic Concepts of Elementary Mathematics I**

**(3 Credits)**

The meaning of number, fundamental operations of arithmetic, the structure of the real number system and its subsystems, elementary number theory. Open only to students in elementary or early childhood teacher certification.

**MATH 222**

**- Basic Concepts of Elementary Mathematics II**

**(3 Credits)**

Informal geometry and basic concepts of algebra. Open only to students in elementary or early childhood teacher certification.

**Prerequisites:**C or better in MATH 221.

**MATH 241**

**- Vector Calculus**

**(3 Credits)**

Vector algebra, geometry of three-dimensional space; lines, planes, and curves in space; polar, cylindrical, and spherical coordinate systems; partial differentiation, max-min theory; multiple and iterated integration, line integrals, and Green’s theorem in the plane.

**Prerequisites:**C or better in MATH 142.

**MATH 242**

**- Elementary Differential Equations**

**(3 Credits)**

Ordinary differential equations of first order, higher order linear equations, Laplace transform methods, series methods; numerical solution of differential equations. Applications to physical sciences and engineering.

**Prerequisites:**C or better in MATH 142.

**MATH 300**

**- Transition to Advanced Mathematics**

**(3 Credits)**

Rigor of mathematical thinking and proof writing via logic, sets, and functions. Intended to bridge the gap between lower-level (computational-based) and upper-level (proof-based) mathematics courses.

**Prerequisites:**C or better in MATH 142.

**MATH 328**

**- Mathematical Concepts for Data Analytics**

**(3 Credits)**

Conceptual overview of necessary mathematical concepts for data analytics. Essentials of linear algebra, multivariate calculus, and probability. Insights into the mathematics of regression, optimization, gradient descent, principal component analysis, clustering, classification, and graphs.

**MATH 344**

**- Applied Linear Algebra**

**(3 Credits)**

General solutions of systems of linear equations, vector spaces and subspaces, linear transformations, determinants, orthogonality, characteristic polynomials, eigenvalues and eigenvectors, singular value decomposition, and generalized inverse. MATH 344L is an optional laboratory course where additional applications will be discussed.

**Prerequisites:**C or better in MATH 142.

**MATH 344L**

**- Applied Linear Algebra Lab**

**(1 Credit)**

Computer based applications of linear algebra for science and engineering students. Topics include numerical analysis of matrices, direct and indirect methods for solving linear systems, and least squares method (regression). Typical applications include practical issues related to discrete Markov processes, image compression, and linear programming.

**MATH 374**

**- Discrete Structures**

**(3 Credits)**

**MATH 399**

**- Independent Study**

**(3-9 Credits)**

Contract approved by instructor, advisor, and department chair is required for undergraduate students.

**Graduation with Leadership Distinction:**GLD: Research

**MATH 401**

**- Conceptual History of Mathematics**

**(3 Credits)**

**MATH 490**

**- Mathematics Internship**

**(1-3 Credits)**

Academic counterpart to a professional work experience in which mathematics plays a central role. Introduction to the uses of problem formulation and problem solving in a working environment. Introduction to career possibilities for a student trained in mathematics. Restricted to MATH major with 3.0 or better GPA and completion of at least 60 credits.

**MATH 499**

**- Undergraduate Research**

**(1-3 Credits)**

Research on a specific mathematical subject area. The specific content of the research project must be outlined in a proposal that must be approved by the instructor and the Undergraduate Director. Intended for students pursuing the B.S. in Mathematics with Distinction. Pass-Fail grading only.

**Graduation with Leadership Distinction:**GLD: Research

**MATH 511**

**- Probability**

**(3 Credits)**

Probability and independence; discrete and continuous random variables; joint, marginal, and conditional densities, moment generating functions; laws of large numbers; binomial, Poisson, gamma, univariate, and bivariate normal distributions.

**Prerequisite or Corequisite:**C or better in MATH 241.

**Cross-listed course:**STAT 511

**MATH 514**

**- Financial Mathematics I**

**(3 Credits)**

Probability spaces. Random variables. Mean and variance. Geometric Brownian Motion and stock price dynamics. Interest rates and present value analysis. Pricing via arbitrage arguments. Options pricing and the Black-Scholes formula.

**Prerequisites:**C or better in MATH 241.

**Cross-listed course:**STAT 522

**MATH 515**

**- Financial Mathematics II**

**(3 Credits)**

Convex sets. Separating Hyperplane Theorem. Fundamental Theorem of Asset Pricing. Risk and expected return. Minimum variance portfolios. Capital Asset Pricing Model. Martingales and options pricing. Optimization models and dynamic programming.

**Cross-listed course:**STAT 523

**MATH 520**

**- Ordinary Differential Equations**

**(3 Credits)**

**MATH 521**

**- Boundary Value Problems and Partial Differential Equations**

**(3 Credits)**

Laplace transforms, two-point boundary value problems and Green’s functions, boundary value problems in partial differential equations, eigenfunction expansions and separation of variables, transform methods for solving PDE’s, Green’s functions for PDE’s, and the method of characteristics.

**MATH 522**

**- Wavelets**

**(3 Credits)**

**MATH 523**

**- Mathematical Modeling of Population Biology**

**(3 Credits)**

Applications of differential and difference equations and linear algebra modeling the dynamics of populations, with emphasis on stability and oscillation. Critical analysis of current publications with computer simulation of models.

**MATH 524**

**- Nonlinear Optimization**

**(3 Credits)**

Descent methods, conjugate direction methods, and Quasi-Newton algorithms for unconstrained optimization; globally convergent hybrid algorithm; primal, penalty, and barrier methods for constrained optimization. Computer implementation of algorithms.

**MATH 525**

**- Mathematical Game Theory**

**(3 Credits)**

**MATH 526**

**- Numerical Linear Algebra**

**(4 Credits)**

Matrix algebra, Gauss elimination, iterative methods; overdetermined systems and least squares; eigenvalues, eigenvectors; numerical software. Computer implementation. Credit may not be received for both MATH 526 and MATH 544. Three lectures and one laboratory hour per week.

**Prerequisites:**C or better in MATH 142.

**MATH 527**

**- Numerical Analysis**

**(3 Credits)**

Interpolation and approximation of functions; solution of algebraic equations; numerical differentiation and integration; numerical solutions of ordinary differential equations and boundary value problems; computer implementation of algorithms.

**Cross-listed course:**CSCE 561

**MATH 528**

**- Mathematical Foundation of Data Science and Machine Learning**

**(3 Credits)**

**MATH 529**

**- Introduction to Deep Neural Networks**

**(3 Credits)**

Review of relevant concepts of linear algebra, Fourier transform and convolution, Fast Fourier Transform (FFT), mean and variance, covariance matrices and joint probabilities, gradient descent and stochastic gradient descent, structure of deep neural networks and convolutional neural networks, applications to image processing.

**MATH 531**

**- Foundations of Geometry**

**(3 Credits)**

The study of geometry as a logical system based upon postulates and undefined terms. The fundamental concepts and relations of Euclidean geometry developed rigorously on the basis of a set of postulates. Some topics from non-Euclidean geometry.

**Prerequisites:**C or better in MATH 300.

**MATH 532**

**- Modern Geometry**

**(3 Credits)**

Projective geometry, theorem of Desargues, conics, transformation theory, affine geometry, Euclidean geometry, non-Euclidean geometries, and topology.

**Prerequisites:**C or better in MATH 300.

**MATH 533**

**- Elementary Geometric Topology**

**(3 Credits)**

**MATH 534**

**- Elements of General Topology**

**(3 Credits)**

**MATH 540**

**- Modern Applied Algebra**

**(3 Credits)**

Finite structures useful in applied areas. Binary relations, Boolean algebras, applications to optimization, and realization of finite state machines.

**Prerequisites:**MATH 300.

**MATH 541**

**- Algebraic Coding Theory**

**(3 Credits)**

**MATH 544**

**- Linear Algebra**

**(3 Credits)**

Vectors, vector spaces, and subspaces; geometry of finite dimensional Euclidean space; linear transformations; eigenvalues and eigenvectors; diagonalization. Throughout there will be an emphasis on theoretical concepts, logic, and methods. MATH 544L is an optional laboratory course where additional applications will be discussed.

**MATH 546**

**- Algebraic Structures I**

**(3 Credits)**

**MATH 547**

**- Algebraic Structures II**

**(3 Credits)**

Rings, ideals, polynomial rings, unique factorization domains; structure of finite groups; topics from: fields, field extensions, Euclidean constructions, modules over principal ideal domains (canonical forms).

**Prerequisites:**C or better in MATH 546.

**MATH 548**

**- Geometry, Algebra, and Algorithms**

**(3 Credits)**

**MATH 550**

**- Vector Analysis**

**(3 Credits)**

Vector fields, line and path integrals, orientation and parametrization of lines and surfaces, change of variables and Jacobians, oriented surface integrals, theorems of Green, Gauss, and Stokes; introduction to tensor analysis.

**Prerequisites:**C or better in MATH 241.

**MATH 551**

**- Introduction to Differential Geometry**

**(3 Credits)**

**MATH 552**

**- Applied Complex Variables**

**(3 Credits)**

Complex integration, calculus of residues, conformal mapping, Taylor and Laurent Series expansions, applications.

**Prerequisites:**C or better in MATH 241.

**MATH 554**

**- Analysis I**

**(3 Credits)**

Least upper bound axiom, the real numbers, compactness, sequences, continuity, uniform continuity, differentiation, Riemann integral and fundamental theorem of calculus.

**MATH 555**

**- Analysis II**

**(3 Credits)**

Riemann-Stieltjes integral, infinite series, sequences and series of functions, uniform convergence, Weierstrass approximation theorem, selected topics from Fourier series or Lebesgue integration.

**Prerequisites:**C or better in MATH 554.

**MATH 561**

**- Introduction to Mathematical Logic**

**(3 Credits)**

Syntax and semantics of formal languages; sentential logic, proofs in first order logic; Godel’s completeness theorem; compactness theorem and applications; cardinals and ordinals; the Lowenheim-Skolem-Tarski theorem; Beth’s definability theorem; effectively computable functions; Godel’s incompleteness theorem; undecidable theories.

**Prerequisites:**C or better in MATH 300.

**MATH 562**

**- Theory of Computation**

**(3 Credits)**

**MATH 570**

**- Discrete Optimization**

**(3 Credits)**

**MATH 572**

**- Mathematical Foundation of Network Science**

**(3 Credits)**

**MATH 574**

**- Discrete Mathematics I**

**(3 Credits)**

Mathematical models; mathematical reasoning; enumeration; induction and recursion; tree structures; networks and graphs; analysis of algorithms.

**Prerequisites:**C or better in MATH 300.

**MATH 575**

**- Discrete Mathematics II**

**(3 Credits)**

**MATH 576**

**- Combinatorial Game Theory**

**(3 Credits)**

**MATH 580**

**- Elementary Number Theory**

**(3 Credits)**

Divisibility, primes, congruences, quadratic residues, numerical functions. Diophantine equations.

**Prerequisites:**C or better in MATH 300.

**MATH 587**

**- Introduction to Cryptography**

**(3 Credits)**

Design of secret codes for secure communication, including encryption and integrity verification: ciphers, cryptographic hashing, and public key cryptosystems such as RSA. Mathematical principles underlying encryption. Code-breaking techniques. Cryptographic protocols.

**Cross-listed course:**CSCE 557

**MATH 590**

**- Undergraduate Seminar**

**(1-3 Credits)**

A review of literature in specific subject areas involving student presentations. Content varies and will be announced in the Master Schedule of Classes by title. For undergraduate credit only.

**MATH 599**

**- Topics in Mathematics**

**(1-3 Credits)**

Recent developments in pure and applied mathematics selected to meet current faculty and student interest.

**MATH 602**

**- An Inductive Approach to Geometry**

**(3 Credits)**

This course is designed for middle-level pre-service mathematics teachers. This course covers geometric reasoning, Euclidean geometry, congruence, area, volume, similarity, symmetry, vectors, and transformations. Dynamic software will be utilized to explore geometry concepts. This course cannot be used for credit toward a major in mathematics.

**MATH 603**

**- Inquiry Approach to Algebra**

**(3 Credits)**

This course introduces basic concepts in number theory and modern algebra that provide the foundation for middle level arithmetic and algebra. Topics include: algebraic reasoning, patterns, inductive reasoning, deductive reasoning, arithmetic and algebra of integers, algebraic systems, algebraic modeling, and axiomatic mathematics. This course cannot be used for credit towards a major in mathematics.

**MATH 650**

**- AP Calculus for Teachers**

**(3 Credits)**

A thorough study of the topics to be presented in AP calculus, including limits of functions, differentiation, integration, infinite series, and applications. Not intended for degree programs in mathematics.

**Prerequisites:**current secondary high school teacher certification in mathematics and a C or better in at least 6 hours of calculus.