Undergraduate course catalog
- MATH 0910 [4 hours]
ELEMENTARY ALGEBRA I
This course covers a review of operations with whole numbers, fractions, decimals, ratios and percents. Also covered are integer operations, variables, algebraic expressions, graphs and solving linear equations. Problem solving techniques are emphasized.
No credit toward graduation. Grades do not apply to student’s GPA.
- MATH 0950 [4 hours]
ELEMENTARY ALGEBRA II
This course introduces the student to functions, solving systems of linear equations, graphing, polynomials, rational and quadratic functions, rational numbers and mathematics modeling. Problem solving techniques are emphasized.
No credit toward graduation. Grades do not apply to student’s GPA.
Prerequisite: MATH 0910 or placement
- MATH 0970 [3 hours]
GEOMETRY CONCEPTS
This course covers lines, angles, similarity and congruence of polygons, areas of polygons, volumes of solids and constructions.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 0950 or placement
- MATH 0980 [4 hours]
INTERMEDIATE ALGEBRA
Review of algebra, linear and quadratic equations, graphs, exponents and radicals, exponential and log functions, simultaneous equations.
No credit toward graduation. Course is not applicable toward the undergraduate major in mathematics.
Prerequisite: Satisfactory placement test score, satisfactory ACT score or MATH 0950
- MATH 0990 [1 - 4 hours]
INDEPENDENT STUDY
Course for students needing to complete only a portion of a developmental math class (MATH 0900 - 0980).
- MATH 1010 [3 hours]
APPLIED BUSINESS MATHEMATICS
Mathematics used in solving business problems related to simple and compound interest, annuities, payroll, taxes, promissory notes, consumer credit, insurance, markup and markdown, mortgage loans, discounting, financial statement ratios and break-even analysis.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 0900 or placement
- MATH 1180 [3 hours]
MATHEMATICS FOR LIBERAL ARTS
A general liberal arts course for nonscience students designed to acquaint students with the nature of mathematics and applications such as probability, statistics, functions and graphs.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: College entrance requirements (algebra I, algebra II and geometry) and satisfactory placement test or MATH 0980.
Math core course
- MATH 1210 [3 hours]
MATHEMATICS FOR EDUCATION MAJORS I
Principles of elementary number theory, base systems, development of the rational numbers and problem solving techniques.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: Satisfactory placement test score or MATH 0980
Math core course
- MATH 1220 [3 hours]
MATHEMATICS FOR EDUCATION MAJORS II
Development of the real numbers, probability, statistics, informal geometry, geometric figures and measurements.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 1210
Math core course
- MATH 1260 [3 hours]
CALCULUS FOR BUSINESS WITH APPLICATIONS I
Equations and their graphs, linear systems, vectors and matrices, introduction to linear optimization, exponentials and logs, elementary probability, limits, functions, introductions to differential calculus.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: Satisfactory placement test score or satisfactory ACT score or MATH 0980
Math core course
- MATH 1270 [3 hours]
CALCULUS FOR BUSINESS WITH APPLICATIONS II
Continuation of differential calculus and integral calculus with business applications.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 1260
Math core course
- MATH 1320 [3 hours]
COLLEGE ALGEBRA
Number system; elementary theory of equations and inequalities; functions and relations; exponentials and logarithms; systems of equations and topics in analytic geometry.
Course is not applicable toward the undergraduate mathematics major requirements. No credit given for students who have credit for MATH 1340.
Prerequisite: Satisfactory placement test score or satisfactory ACT score or MATH 0980
Math core course
- MATH 1330 [3 hours]
TRIGONOMETRY
Definitions and graphs of trigonometric functions and their inverses, solving trigonometric equations, applications and topics in analytic geometry.
Course is not applicable toward the undergraduate mathematics major requirements. No credit givenfor students who have credit for MATH 1340.
Prerequisite: Satisfactory placement test or satisfactory ACT score or MATH 0980
Math core course
- MATH 1340 [4 hours]
COLLEGE ALGEBRA AND TRIGONOMETRY
Functions and graphs, exponential and logarithmic functions, trigonometric functions and applications, systems of equations and topics in analytic geometry. No credit for students who have credit for MATH 1320 or 1330.
Prerequisite: Three years of high school math and a course in trigonometry and either satisfactory placement test score or satisfactory ACT score or MATH 0980.
Math core course
- MATH 1750 [4 hours]
CALCULUS FOR THE LIFE SCIENCES WITH APPLICATIONS I
Definitions of trigonometric functions, solving trigonometric equations, functions, limits and derivatives, exponential and logarithmic functions, and applications.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: Satisfactory placement test score or satisfactory ACT score or MATH 1320
Math core course
- MATH 1760 [3 hours]
CALCULUS FOR THE LIFE SCIENCES WITH APPLICATIONS II
Indefinite and definite integrals, probability, functions of several variables, least squares, differential equations.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 1750, 1850 or 1920
Math core course
- MATH 1780 [1 hour]
INTRODUCTION TO MAPLE
Brief review of the computer algebra system Maple; graphing; simplifying algebraic expressions; finding solutions of equations symbolically, graphically and numerically; various typical problems from precalculus and beginning calculus.
Prerequisite: MATH 1340 or 1320 and 1330 or four years of high school math and passing score on the placement exams
- MATH 1830 [4 hours]
CALCULUS I FOR MATHEMATICIANS, SCIENTISTS AND EDUCATORS
Limits of sequences and functions, derivatives, Mean Value Theorem, curve sketching, definite and indefinite integral, Fundamental Theorem of Calculus. Of interest to students requiring a conceptual understanding of calculus. Not for major credit.
Prerequisite: MATH 1340 or 1320 and 1330 or placement test scores
Math core course
- MATH 1840 [4 hours]
CALCULUS II FOR MATHEMATICIANS, SCIENTISTS AND EDUCATORS
Techniques of integration, polar coordinates and calculus or plane curves, infinite series and Taylor series. Of interest to students requiring a conceptual understanding of calculus.
Prerequisite: MATH 1830, 1850 or 1920
Math core course
- MATH 1850 [4 hours]
SINGLE VARIABLE CALCULUS I
Limits, differentiation, Fundamental Theorem of Calculus, Mean Value Theorem, curve sketching, maxima/minima, definite and indefinite integrals, applications.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 1340 or 1320 and 1330 or a satisfactory placement test score
Math core course
- MATH 1860 [4 hours]
SINGLE VARIABLE CALCULUS II
Inverse functions, techniques and applications of integration, polar coordinates, sequences and series.
Prerequisite: MATH 1830, 1850 or 1920
Math core course
- MATH 1880 [4 hours]
SINGLE VARIABLE CALCULUS II USING MAPLE
Inverse functions, techniques and applications of integration, polar coordinates, sequences and series. Maple is used to visualize concepts and to analyze, solve and interpret problems graphically, symbolically and numerically.
Prerequisite: MATH 1830, 1850 or 1920 Corequisite: MATH 1780
- MATH 1890 [3 hours]
ELEMENTARY LINEAR ALGEBRA
Matrix algebra, systems of linear equations, determinants, vector spaces, linear transformations, eigenvalues and eigenvectors, and applications.
Prerequisite: MATH 1840, 1860 or 1930
Math core course
- MATH 1920 [4 hours]
HONORS CALCULUS I and II
Theory and applications of derivatives and integrals of a function of one variable.
Prerequisite: Satisfactory ACT score and satisfactory trigonometry placement score
Math core course
- MATH 1930 [4 hours]
HONORS CALCULUS II
Theory and applications of derivatives and integrals of a function of one variable.
Prerequisite: MATH 1920
Math core course
- MATH 1980 [1 - 4 hours]
TOPICS IN MATHEMATICS
Selected topics in mathematics.
Prerequisite: Varies with topic
- MATH 2280 [3 hours]
INTRODUCTION TO COMPUTING
An overview of the role of microcomputers and information systems. Provides training in word processing, presentation graphics, and spreadsheets or problem solving. Courseis not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 1180 or equivalent
- MATH 2450 [4 hours]
CALCULUS FOR ENGINEERING TECHNOLOGY I
Differential calculus of algebraic and trigonometric functions, including limits, curve sketching, motion, maxima/minima, related rates, integral calculus of algebraic functions.
Prerequisite: Satisfactory placement test, or MATH 1320 and 1330, or MATH 1340
- MATH 2460 [4 hours]
CALCULUS FOR ENGINEERING TECHNOLOGY II
Transcendental functions, methods of integration, applications of the integral, polar coordinates, vectors and vector operation, lines and panes, parametric equations.
Prerequisite: MATH 2450, 1850 or 1920, passing the Prerequisite Skills Test
- MATH 2600 [3 hours]
INTRODUCTION TO STATISTICS
An introduction to descriptive and inferential statistical methods including point and interval estimation, hypothesis testing and regression. No credit allowed if taken after MATH 3610 or 4680; credit not allowed for both MATH 2600 and 2630.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 0980, 1180 or equivalent
Math core course
- MATH 2620 [3 hours]
DISCRETE PROBABILITY
Sample spaces, events, counting techniques, probability distributions and their applications. No credit if taken after 4680.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 0980, 1180 or equivalent
- MATH 2630 [3 hours]
STATISTICS FOR BUSINESS AND ECONOMICS
An introduction to descriptive and inferential statistical methods, including numerical and graphical data description, basic probability concepts and distributions, point and interval estimation and hypothesis testing. Credit not allowed for both MATH 2600 and 2630.
Course is not applicable toward the undergraduate mathematics major requirements.
Prerequisite: MATH 1270
- MATH 2850 [4 hours]
ELEMENTARY MULTIVARIABLE CALCULUS
Geometry of functions of several variables, partial differentiation, multiple integrals, vector algebra and calculus (including Theorems of Green, Gauss and Stokes), and applications.
Prerequisite: MATH 1840, 1860 or 1930
- MATH 2880 [4 hours]
ELEMENTARY MULTIVARIABLE CALCULUS USING MAPLE
Geometry of functions of several variables, partial differentiation, multiple integrals, vector algebra, and calculus (including Theorems of Green, Gauss and Stokes) and applications. Maple is used to solve problems graphically, symbolically and numerically.
Prerequisite: MATH 1840, 1860, 1880 or 1930 Corequisite: MATH 1780
- MATH 2890 [3 hours]
NUMERICAL METHODS AND LINEAR ALGEBRA
Topics include: matrices, characteristic roots, solution of linear and nonlinear equations, curve fitting, integration, differentiation and numerical solution of ordinary differential equations. MATLAB is introduced and used to analyze problems.
Prerequisite: MATH 1830, 1850 or 1920 Corequisite: MATH 1840, 1860 or 1930
- MATH 2950 [4 hours]
HONORS CALCULUS III
Theory and applications of the calculus of functions of two or more variables. The fundamental theorems of vector calculus.
Prerequisite: MATH 1930 or permission of instructor
- MATH 3000 [3 hours]
SYMBOLIC LOGIC
A study of propositional and predicate logic, the symbolic techniques used to evaluate deductive arguments. Topics may include computability, set theory, Bayesianism and other formal systems with mathematical or philosophical relevance.
Prerequisite: MATH 1180 or PHIL 1100
- MATH 3190 [3 hours]
INTRODUCTION TO MATHEMATICAL ANALYSIS
This course is intended to introduce students to higher mathematics. The techniques of proving theorems, including proofs by induction, will be emphasized. The course will include elementary set theory and equivalence relations and a discussion of the real number system. Proofs of some basic theorems from algebra, calculus or number theory will be studied.
Prerequisite: MATH 1840, 1860 or 1930
- MATH 3200 [3 hours]
NUMBER THEORY
Divisibility, congruences, diophantine equations, numerical functions, quadratic reciprocity.
Prerequisite: MATH 3190
- MATH 3320 [3 hours]
INTRODUCTION TO ABSTRACT ALGEBRA
Sets and mappings, integers, groups, rings and applications.
Prerequisite: MATH 3190
- MATH 3440 [3 hours]
FUNDAMENTALS OF MODERN GEOMETRY I
Primarily for students in secondary education. Euclidean geometry from a modern viewpoint, constructions and transformations.
Prerequisite: MATH 1840, 1860 or 1930
- MATH 3450 [3 hours]
FUNDAMENTALS OF MODERN GEOMETRY II
Primarily for students in secondary education. Euclidean geometry from a modern viewpoint, constructions and transformations.
Prerequisite: MATH 3440
- MATH 3510 [3 hours]
HISTORY OF MATHEMATICS
Contributions to the development of mathematics by various groups and individuals from the earliest history to the present, with special emphasis on the elementary branches – arithmetic, algebra, geometry and calculus.
Prerequisite: MATH 1840, 1860 or 1930
- MATH 3610 [3 hours]
STATISTICAL METHODS I
Basic probability, sampling, descriptive statistics, statistical inference, regression, correlation, analysis of variance, goodness of fit, model formulation and testing.
Prerequisite: MATH 1840, 1860, 1930 or 3190, or permission of instructor
- MATH 3620 [3 hours]
STATISTICAL METHODS II
Multiple regression, analysis of covariance, standard experimental designs, contingency tables, nonparametric methods and methods for sample surveys.
Prerequisite: MATH 3610
- MATH 3820 [3 hours]
HONORS ELEMENTARY DIFFERENTIAL EQUATIONS
Theory, applications and systems of ordinary differential equations.
Prerequisite: MATH 2950 or permission of instructor
- MATH 3860 [3 hours]
ELEMENTARY DIFFERENTIAL EQUATIONS
An introduction to the analysis and solution of ordinary differential equations with emphasis on the fundamental techniques for solving linear differential equations.
Prerequisite: MATH 2850
- MATH 3880 [3 hours]
ELEMENTARY DIFFERENTIAL EQUATIONS USING MAPLE
An introduction to the analysis and solution of ordinary differential equations with emphasis on the fundamental techniques for solving linear equations. Maple is used to solve problems graphically, symbolically and numerically.
Prerequisite: MATH 2850 or 2880 Corequisite: MATH 1780
- MATH 3920 [1 - 3 hours]
JUNIOR READINGS
Selected subjects in mathematics of special interest to students and the professor.
Prerequisite: Permission of department
- MATH 4290 [3 hours]
INTRODUCTION TO SET THEORY
Sets, relations, functions, axiom of choice, Zorn’s lemma, well-ordering theorem, cardinal and ordinal numbers, and construction of the real numbers.
Prerequisite: MATH 3190
- MATH 4300 [3 hours]
LINEAR ALGEBRA I
Theory of vector spaces and linear transformations, including such topics as matrices, determinants, inner products, eigenvalues and eigenvectors, and rational and Jordan canonical forms.
Prerequisite: MATH 3190
- MATH 4310 [3 hours]
LINEAR ALGEBRA II
Hermitian and normal operators, multilinear forms, spectral theorem and other topics.
Prerequisite: MATH 4300
- MATH 4330 [3 hours]
ABSTRACT ALGEBRA I
Arithmetic of the integers, unique factorization and modular arithmetic; group theory including normal subgroups, factor groups, cyclic groups, permutations, homomorphisms, the isomorphism theorems, abelian groups and p-groups.
Prerequisite: MATH 3190
- MATH 4340 [3 hours]
ABSTRACT ALGEBRA II
Ring theory including integral domains, field of quotients, homomorphisms, ideals, Euclidean domains, polynomial rings, vector spaces, roots of polynomials and field extensions.
Prerequisite: MATH 4330
- MATH 4350 [3 hours]
APPLIED LINEAR ALGEBRA
Matrices, systems of equations, vector spaces, linear transformations, determinants, eigenvalues and eigenvectors, generalized inverses, rank, numerical methods and applications to various areas of science.
Prerequisite: MATH 1890
- MATH 4380 [3 hours]
DISCRETE STRUCTURES AND ANALYSIS OF ALGORITHMS
Discrete mathematical structures for applications in computer science such as graph theory, combinatorics, and groups theory, asymptotics, recurrence relations and analysis of algorithms.
Prerequisite: MATH 3320 or 4330
- MATH 4390 [3 hours]
THEORY OF COMPUTATION
Theory of automata and formal languages, computability by Turing machines and recursive functions, uncomputability, NP-Hard and NP-Complete problems.
Prerequisite: MATH 4380
- MATH 4450 [3 hours]
INTRODUCTION TO TOPOLOGY I
Metric spaces, topological spaces, continuous maps, bases and subbases, closure and interior operators, products, subspaces, sums, quotients, separation axioms, compactness and local compactness.
Prerequisite: MATH 3190
- MATH 4460 [3 hours]
INTRODUCTION TO TOPOLOGY II
Connectedness and local connectedness, convergence, metrization, function spaces. The fundamental groups and its properties, covering spaces, classical applications, e.g. Jordan Curve Theorem, Fundamental Theorem of Algebra, Brouwer’s Fixed Point Theorem.
Prerequisite: MATH 4450, 3320 or 4330
- MATH 4540 [3 hours]
CLASSICAL DIFFERENTIAL GEOMETRY I
Smooth curves in Euclidean space including the Frenet formulae. Immersed surfaces with the Gauss map, principal curvatures and the fundamental forms. Special surfaces including ruled surfaces and minimal surfaces. Intrinsic Geometry including the Gauss Theorem Egregium.
Prerequisite: MATH 3860
- MATH 4550 [3 hours]
CLASSICAL DIFFERENTIAL GEOMETRY II
Tensors, vector fields, and the Cartan approach to surface theory, Bonnet’s Theorem and the construction of surfaces via solutions of the Gauss Equation. Geodesics parallel transport, and Jacobi Fields. Theorems of a global nature such as Hilbert’s Theorem or the Theorem of Hopf-Rinow.
Prerequisite: MATH 4540
- MATH 4600 [3 hours]
APPLICATIONS OF STATISTICS I
Real data applications of statistical methods. Emphasis is placed on exploratory data analysis and the use of computing facilities to analyze data and produce statistical reports. Statistical packages used include MINITAB, SAS, and/or S-PLUS; programming is performed in C or Fortran.
Prerequisite: Permission of instructor
- MATH 4610 [3 hours]
APPLICATIONS OF STATISTICS II
Continuation of Applications of Statistics I.
Prerequisite: MATH 4600
- MATH 4620 [3 hours]
THEORY OF INTEREST
This course covers the measurement of interest, certain annuities, yield rates, amortization and sinking funds, bonds and other securities and application of interest theory.
Prerequisite: Permission of instructor
- MATH 4630 [3 hours]
THEORY AND METHODS OF SAMPLE SURVEYS
The mathematical basis to estimation in various sampling contexts, including probability proportional to size sampling, stratified sampling, two-stage cluster sampling and double sampling.
Prerequisite: MATH 4680 or permission of instructor Corequisite: MATH 4690
- MATH 4640 [3 hours]
STATISTICAL COMPUTING
Error analysis of statistical algorithms. Numerical linear algebra for linear models. Approximation methods for distribution function probabilities and quantiles. Uniform and non-uniform random number generation. Introduction to simulation methods.
Prerequisite: Permission of instructor
- MATH 4660 [3 hours]
APPLIED PROBABILITY
The basic probability models of applied mathematics and physics, including random walks, Markov chains, branching processes, renewal processes, random graphs and queuing.
Prerequisite: MATH 4680 and 4300 or 4350
- MATH 4680 [3 hours]
INTRODUCTION TO THEORY OF PROBABILITY
Probability spaces, random variables, probability distributions, moments and moment generating functions, limit theorems, transformations and sampling distributions.
Prerequisite: MATH 3190 or permission of instructor, and MATH 4350
- MATH 4690 [3 hours]
INTRODUCTION TO MATHEMATICAL STATISTICS
Sampling distributions, point and interval estimation, hypothesis testing, regression and analysis of variance.
Prerequisite: MATH 4680
- MATH 4710 [3 hours]
METHODS OF NUMERICAL ANALYSIS I
Floating point arithmetic; polynomial interpolation; numerical solution of nonlinear equations; Newton’s method. Likely topics include: numerical differentiation and integration; solving systems of linear equations; Gaussian elimination; LU decomposition; Gauss-Seidel method.
Prerequisite: MATH 3860 and a computer programming course or permission of instructor
- MATH 4720 [3 hours]
METHODS OF NUMERICAL ANALYSIS II
Likely topics include: Computation of eigenvalues and eigenvectors; solving systems of nonlinear equations; least squares approximations; rational approximations; cubic splines; fast Fourier transforms; numerical solutions to initial value problems; ordinary and partial differential equations.
Prerequisite: MATH 4710
- MATH 4740 [3 hours]
ADVANCED APPLIED MATHEMATICS I
Series and numerical solutions to ordinary differential equations, special functions, orthogonal functions, Sturm-Liouville problems, self-adjointness, vector analysis.
Prerequisite: MATH 3860
- MATH 4750 [3 hours]
ADVANCED APPLIED MATHEMATICS II
Continuation of vector analysis, introduction to complex analysis, partial differential equations, Fourier series and integrals.
Prerequisite: MATH 4740
- MATH 4760 [3 hours]
ACTUARIAL MATHEMATICS I
Survival distributions and life tables, life insurance, life annuities, benefit premiums and reserves and multiple life functions are some topics covered in this course.
Prerequisite: MATH 4680
- MATH 4770 [3 hours]
ACTUARIAL MATHEMATICS II
Continuation of Actuarial Mathematics I. Multiple decrement models, collective risk models and applications of risk theory.
Prerequisite: MATH 4760
- MATH 4780 [3 hours]
ADVANCED CALCULUS
Extrema for functions of one or more variables, Lagrange multipliers, indeterminate forms, inverse and implicit function theorems, uniform convergences, power series, transformations, Jacobians, multiple integrals.
Prerequisite: MATH 2850
- MATH 4790 [3 hours]
APPLIED OPTIMIZATION
An introduction to finite-dimensional combined optimization as it relates to business and economics. Linear and non-linear programming.
Prerequisite: MATH 3860 and 1890
- MATH 4800 [3 hours]
ORDINARY DIFFERENTIAL EQUATIONS
Modern theory of differential equations; transforms and matrix methods; existence theorems and series solutions; and other selected topics.
Prerequisite: MATH 3860
- MATH 4810 [3 hours]
PARTIAL DIFFERENTIAL EQUATIONS
First and second order equations; numerical methods; separation of variables; solutions of heat and wave equations using eigenfunction techniques; and other selected topics.
Prerequisite: MATH 3860 and permission of instructor
- MATH 4820 [3 hours]
INTRODUCTION TO REAL ANALYSIS I
A rigorous treatment of the Calculus in one and several variables. Topics to include: the real number system; sequences and series; elementary metric space theory including compactness, connectedness and completeness; the Riemann Integral.
Prerequisite: MATH 3190
- MATH 4830 [3 hours]
INTRODUCTION TO REAL ANALYSIS II
Differentiable functions on Rn; the Implicit and Inverse Function Theorems; sequences and series of continuous functions; Stone-Weierstrass Theorem; Arzela-Ascoli Theorem; introduction to measure theory; Lebesgue integration; the Lebesque Dominated Convergence Theorem.
Prerequisite: MATH 4820
- MATH 4850 [3 hours]
OPERATIONAL MATHEMATICS
Theory of Laplace, Fourier and other transforms; use of complex variable theory for inversions; applications.
Prerequisite: MATH 4880 or equivalent
- MATH 4860 [3 hours]
CALCULUS OF VARIATIONS AND OPTIMAL CONTROL I
Conditions for an extrema (Euler’s equations, Erdman corner conditions, conditions of Legendre, Jacobi, and Weierstrass, fields of extremals, Hilbert’s invariant integral); Raleigh-Ritz method; isoperimetric problems; Lagrange, Mayer-Bolza problems. Recommended: MATH 4820.
Prerequisite: MATH 1890
- MATH 4870 [3 hours]
CALCULUS OF VARIATIONS AND OPTIMAL CONTROL II
Pontryagin’s maximum principle; necessary and sufficient conditions for optimal control, controllability, time optimal control, existence of optimal controls, relationship to the calculus of variations.
Prerequisite: MATH 4860
- MATH 4880 [3 hours]
COMPLEX VARIABLES
Analytic functions; Cauchy’s theorem; Taylor and Laurent series; residues; contour integrals; conformal mappings, analytic continuation and applications.
Prerequisite: MATH 3860
- MATH 4900 [1 - 3 hours]
SENIOR SEMINAR
Seminar on a topic not usually covered in a course. Library research and paper to be expected.
Prerequisite: Permission of department
- MATH 4920 [1 - 3 hours]
SENIOR READINGS
Selected subjects in mathematics of special interest to students and the professor. (by arrangement with professor and student).
Prerequisite: Permission of instructor
- MATH 4960 [1 - 3 hours]
ACTUARIAL SCIENCE PROBLEM SEMINAR
The primary activity will be student solution and presentation of problems of a type given on actuarial exams.
Prerequisite: Permission of actuarial adviser