First Year Seminars

177.  What is Mathematics and Why Won't It Go Away?                                               3 hours

         3NS, QPf, WR

 

This seminar will provide opportunities to engage in various activities (problem-solving, conjecture, and proof) and to explore the nature of mathematical thinking and discourse. Works of both non-fiction and fiction will be discussed and issues such as problem-solving vs.theory-building, the nature of mathematical truth and proof, aesthetic qualities in mathematics, mathematics and madness, cognition and mathematics will be considered. Intended for students without extensive background beyond high school mathematics. Enrollment Limit: 14

 

Introductory Courses

030.  Topics in Contemporary Mathematics                                  3 hours

         3NS, QPf

The interaction of mathematics with the social sciences is the central theme. Topics are drawn from: graph theory, game theory, linear programming, coding theory, exploratory data analysis, and combinatorics.  Applications are given to social choice, decision-making, management and ecological modeling. Prerequisite: A working knowledge of elementary algebra and geometry. Note: This course does not count toward a major in Mathematics. It is intended for students who have not satisfied the quantitative proficiency requirement. (Not open to any student who has received credit for a course in mathematics course numbered 131 or higher).Enrollment Limit: 30. 

 

090.  Environmental Mathematics                                                 3 hours

         3NS, QPf

This course focuses on the application of mathematics to problems concerning the environment.  Topics include simulation (models of population growth, predator-prey relationships, and epidemics); optimization (applications to groundwater hydrology, herbivore foraging, and transportation of hazardous wastes); and decision analysis (applications to management of endangered species and resolution of environmental disputes).

Note: This course does not count toward a major in mathematics.  It is intended for students who have not satisfied the quantitative proficiency requirement. (Not open to any student who has received credit for a course in mathematics course numbered 131 or higher).  Enrollment Limit: 20.

100.  Elementary Statistics                                                           4 hours

         4NS, QPf

An introduction to the statistical analysis of data. Topics include exploratory data analysis, probability, sampling, estimation, and hypothesis testing. Statistical software is introduced, but no prior computer experience is assumed. This course focuses on statistical ideas and downplays mathematical formulas. It is intended for students in the social sciences and humanities with minimal mathematical experience who have not satisfied the quantitative proficiency requirement. Note: MATH 100 does not count toward a mathematics or economics major and is not open to students who have completed a semester of calculus. Students may not receive credit for more than one of MATH 100, MATH 113, and MATH 114. Enrollment Limit: 36

 

113.  Statistical Methods for the Social and Behavioral Sciences 4 hours

         4NS, QPf

A standard introduction to statistics for students with a good background in mathematics. Topics covered include exploratory data analysis, descriptive statistics, probability, sampling, estimation, and statistical inference. A broad spectrum of examples is employed. Statistical software is introduced, but no prior computer experience is assumed. Prerequisite: An appropriate score on the Statistics Readiness Exam. Note: The statistical content of this course is largely the same as MATH 114; the applications are different. Students may not receive credit for more than one of MATH 100, MATH 113, and MATH 114. Consent of instructor required.  Enrollment Limit:  36.

114.  Statistical Methods for the Biological Sciences                  4 hours

         4NS, QPf

A standard introduction to statistics for students with a good background in mathematics. Topics covered include exploratory data analysis, descriptive statistics, probability, sampling, estimation, and statistical inference. Biological and medical examples are emphasized. Statistical software is introduced, but no prior computer experience is assumed. Prerequisite: An appropriate score on the Statistics Readiness Exam. Note: The statistical content of this course is largely the same as MATH 113; the applications are different. Students may not receive credit for more than one of MATH 100, MATH 113, and MATH 114. Consent of instructor required.  Enrollment Limit: 36.

131.  Calculus Ia: Limits, Continuity and Differentiation            3 hours

         4NS, QPh

A first course in the calculus of functions of one variable including supporting material from algebra and trigonometry. Topics include limits, continuous functions, solution of equations and inequalities, differentiation of real-valued functions of one variable, and the graphical analysis of functions. The two-course sequence MATH 131, MATH 132 is equivalent to the more intensive MATH 133. Prerequisite: An appropriate score on the Calculus Readiness Exam. Consent of instructor required. Enrollment Limit: 32

132.  Calculus Ib: Integration and Applications                           3 hours

         4NS, QPf

Continuation of MATH 131. Topics include integration of real-valued functions of one variable, basic properties of the trigonometric and exponential functions, the fundamental theorems of the calculus, and applications. Prerequisite: MATH 131 or an appropriate score on the Calculus Readiness Exam. Consent of instructor required. Enrollment Limit: 32

133.  Calculus I: Limits, Continuity, Differentiation,                  4 hours
         Integration, and Applications

         4NS, QPf

A standard first course in the calculus of functions of one variable. Topics include limits, continuous functions, differentiation and integration of real-valued functions of one variable, the fundamental theorems of calculus, and applications. This course is equivalent to the two-course sequence MATH 131, MATH 132. Prerequisite: An appropriate score on the Calculus Readiness Exam. Consent of instructor required. Enrollment Limit: 32.

134.  Calculus II: Special Functions, Integration Techniques,      4 hours
         and Power Series

         4NS, QPf

Continuation of the study of the calculus of functions of one variable. Topics include logarithmic, exponential and the inverse trigonometric functions, techniques of integration, polar coordinates, parametric equations, infinite series, and applications. The course sequences MATH 133, 134 and MATH 131, 132, 134 both provide a standard introduction to single-variable calculus. Prerequisite: MATH 132 or MATH 133. Enrollment Limit: 32.

                 

Intermediate Courses

220.  Discrete Mathematics                                                        3 hours

         3NS, QPf

An introduction to a wide variety of mathematical ideas and techniques that do not involve calculus. Topics such as graph theory, combinatorics, difference equations, elementary number theory, recursion, mathematical induction, and logic. Prerequisite: MATH 133. Enrollment Limit: 32.

231.  Multivariable Calculus                                                      3 hours

         3NS, QPf

An introduction to the calculus of several variables. Topics considered include vectors and solid analytic geometry, multidimensional differentiation and integration, and a selection of applications. Prerequisite: MATH 134. Enrollment Limit: 32. 

232.  Linear Algebra                                                                    3 hours

         3NS, QPf

An introduction to linear algebra. Topics considered include the algebra and geometry of Euclidean n-space, matrices, determinants, abstract vector spaces, linear transformations, and diagonalization. Prerequisite: MATH 134 or MATH 220. Enrollment Limit: 32.

234.  Differential Equations                                                        3 hours

         3NS, QPf

An introduction to analytic, qualitative and numerical methods for solving ordinary differential equations. Topics include general first order equations, linear first and second order equations, numerical methods (Euler, Runge-Kutta), systems of first order equations, phase plane analysis, and Laplace Transforms. There is emphasis throughout the course on geometric and qualitative interpretations of differential equations, as well as applications to the natural sciences. Prerequisite: MATH 231. Enrollment Limit: 32.

 

 

Advanced Courses

301.  Advanced Calculus                                                              3 hours

         3NS, QPf

A rigorous examination of the basic elements of analysis. The structure of the real number system, continuity, differentiability, uniform continuity, integrability of functions of a single variable, sequences, series, and uniform convergence are typical topics to be explored. Prerequisite: MATH 231. MATH 220 is also highly recommended.

317.  Number Theory                        3 hours

         3NS, QPf

This course is an introduction to number theory. Topics include primality, divisibility, modular arithmetic, finite fields, quadratic reciprocity, and elliptic curves. Emphasis will be placed both on theoretical questions and on algorithms for computation. . Prerequisite: MATH 220 & 232 or consent of the instructor.

 

327.  Group Theory                                                                      3 hours

         3NS, QPf

A first course in the modern algebraic structures and techniques fundamental to mathematics and useful in many areas of science and engineering. Topics include: groups, subgroups, quotient groups, isomorphism theorems, permutation groups, finite groups, and applications to combinatorics, geometry, symmetry, and crystallography. Prerequisite: MATH 232. MATH 220 is also highly recommended.

328.  Computational Algebra and Algebraic Geometry                       3 hours

         3NS, QPf

This course examines connections between the algebra and geometry of the set of solutions to a system of polynomial equations (called a variety) and the use of algorithms to effect concrete calculations. Topics studied include rings and ideals, , Grober bases, resultants and eliminatin theory, Hilbert's Nullstellensatz, the correspondence between polynomial ideals and algebraic varieties, and applications of the methods to other areas of mathematics. There will be opportunities for computer experimentation and student projects. Prerequisite: MATH 231 and MATH 232. Math 220 is also highly recommended.

331.  Optimization                                                                      3 hours

         3NS, QPf

An introduction to linear, integer, and nonlinear programming. Emphasis is placed on the theory of mathematical programming and the analysis of optimization algorithms. These are applied to significant problems in the fields of medicine, finance, public policy, transportation, and telecommunications. Prerequisites: MATH 231 and MATH 232.

335.  Probability                                                                         3 hours

         3NS, QPf

An introduction to the mathematical theory of probability and its applications. Topics include discrete and continuous sample spaces, combinatorial problems, random variables, probability densities, probability distributions, limit theorems, and stochastic processes. Prerequisite: MATH 231. MATH 220 is also strongly recommended.

336.  Mathematical Statistics                                           3 hours

         3NS, QPf

The theory of probability is applied to problems of statistics. Topics include sampling theory, point and interval estimation tests of statistical hypotheses, regression, and analysis of variance. Prerequisite: MATH 232, MATH 335.

353.  Topology                                            3 hours

         3NS, QPf

This course is an introduction to alebraic topology and is designed to explore the interplay between algebra and geometry, The focus of study will be the fundamental group of a topological space. Special attention will be paid to the case of two-dimensional surfaces. A;;lications to knot theory and the theory of covering spaces will be included as time allows. Prerequisite: MATH 327 or the consent of the instructor.

356.  Complex Analysis                                          3 hours

         3NS, QPf

An introduction to the theory of differentiable functions of a complex variable, including the Cauchy theorems, residues, series expansions, and conformal mapping. Prerequisite: MATH 301.

399.  Seminar: Measure and Integration                                                3 hours

         3NS, QPf

This course will prove some fundamental facts of life, heavily exploited throughout contemporary mathematics. Lengths of intervals extend to a measure on the real line, and any measure gives integrals with far nicer convergence properties than the familiar Riemann integrals.   Probabilities, for instance, are measures; an integral with respect to a probability is called an expectation. Prerequisite: Familiarity with limits and the calculus.