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Course Information

Note: For information about advanced placement, please visit the advanced placement page maintained by the Dean's office.

  • MATH 101: Calculus with Problem Solving

    An introduction to the central ideas of calculus with review and practice of those skills needed for the continued study of calculus. Problem solving strategies will be emphasized. (Meets Monday through Friday). Not open to students who have received credit for Math 111. 6; Mathematics and Natural Sciences; offered Fall 2007 -- D. Haunsperger
  • MATH 106: Introduction to Mathematics

    This course is designed to provide students with an understanding of fundamental concepts and applications of mathematics. It attempts to provide insights into the nature of mathematics and its relation to other branches of knowledge, and helps students develop skill in mathematical reasoning. No prerequisites. 6; Mathematics and Natural Sciences; offered Spring 2008 -- D. Haunsperger
  • MATH 111: Introduction to Calculus

    An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus. Prerequisite is one of the following: Math SAT 630 or greater, ACT 28 or greater, or placement via the Calculus Placement Exam 1 or see Mathematics Web page. Not open to students who have received credit for Mathematics 101. 6; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008, Spring 2008 -- Staff
  • MATH 115: Statistics: Concepts and Applications

    Introduction to statistical concepts with emphasis on understanding and interpretation of statistical information, especially in the context of media reports and scholarly articles. Examples taken from a wide-range of areas such as public policy, health and medicine, and the social and natural sciences. Computationally less intensive than Math 215. Students will learn how to use statistical software. Topics include: Uncertainty and variability, statistical graphs, types of studies, correlation and linear regression, two-way tables, and inference. Not open to students who have already received credit for Math 211, Math 215 or Psychology 200/201 (124). 6; Mathematics and Natural Sciences; offered Fall 2007, Spring 2008 -- L. Chihara, R. Dobrow
  • MATH 131: Inverses and Integration

    The calculus of exponential, logarithmic, and inverse trigonometric functions. Techniques of integration, applications. Prerequisite: Math 101 or 111, or placement via Calculus Placement Exam #2a. 3; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008, Spring 2008 -- Staff
  • MATH 141: Mathematical Modeling

    Design, construction, and analysis of mathematical models in the natural sciences. Mathematical topics may include differential equations, probability, and matrix algebra. Prerequisite: Math 131 or placement via Calculus Placement Exam #3a. 3; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008, Spring 2008 -- Staff
  • MATH 151: Sequences and Series

    Sequences and series of constants and functions, convergence, power series, Taylor's theorem. 3; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008 -- Staff
  • MATH 206: A Tour of Mathematics

    A series of eight lectures intended for students considering a Mathematics major. The emphasis will be on presenting various striking ideas, concepts and results in modern mathematics, rather than on developing extensive knowledge or techniques in any particular subject area. 1; S/CR/NC; Mathematics and Natural Sciences; offered Winter 2008 -- Staff
  • MATH 211: Multivariable Calculus

    Introduction to multivariable calculus: vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem. Prerequisite: Mathematics 131 or placement via Calculus Placement Exam #3a. 6; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008, Spring 2008 -- Staff
  • MATH 215: Introduction to Statistics

    Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, sampling distributions, estimation, hypothesis testing, and two-way tables. Not open to students who have already received credit for Math 115 or Math 275. Students who have received MS credit for Psychology 200/201 (124-126) cannot receive MS credit for Math 215. Students who have taken Math 211 are encouraged to consider the more advanced Math 265-275 probability-statistics sequence. 6; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008, Spring 2008 -- Staff
  • MATH 216: Seminar: History of Mathematics

    This seminar will focus on selected episodes in the history of mathematics from the seventeenth century to the present. Each participant will give at least one public presentation, which will be followed by discussion. Some weekly preparatory reading, often on the life and work of a prominent mathematician, will be required. Prerequisite: Mathematics 211 or concurrent registration with Mathematics 211 or consent of the instructor. 2; Mathematics and Natural Sciences; not offered 2007-2008
  • MATH 232: Linear Algebra

    Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues; connections with multivariable calculus. Prerequisite: Mathematics 211. 6; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008, Spring 2008 -- R. Dobrow, E. Egge, G. Nelson
  • MATH 236: Mathematical Structures

    Basic concepts and techniques used throughout mathematics. Topics include logic, mathematical induction and other methods of proof, problem solving, sets, cardinality, equivalence relations, functions and relations, and the axiom of choice. Other topics may include: algebraic structures such as groups and rings and basic combinatorics. Prerequisite: Mathematics 232 or consent of the instructor. Students may not receive credit for both Computer Science 202 and Mathematics 236. 6; Mathematics and Natural Sciences; offered Fall 2007, Winter 2008, Spring 2008 -- G. Nelson, D. Haunsperger
    Extended departmental description for MATH 236

    This course is intended to introduce students to certain features of the mathematical enterprise including: (1) basic structures in mathematics; (2) the nature of formal arguments that establish the validity of theorems; (3) strategies for problems-solving; and (4) analogies that exist among various mathematical concepts. Amidst all of this mathematical formality, you will discover some remarkable facts. In particular, you will learn that when Buzz Lightyear said "To infinity and beyond!", he was being mathematically precise.

    Math 236 is the last course in the math sequence that is required of all math majors, and is the first course that suggests what being a math major (as opposed to a math user) is all about. If you are undecided about majoring in math, taking this course before you make the decision might prove helpful.

  • MATH 241: Ordinary Differential Equations

    An introduction to the theory and methods of solution of ordinary differential equations. Prerequisites: Mathematics 232 or consent of the instructor. 6; Mathematics and Natural Sciences; offered Winter 2008 -- M. Krusemeyer
  • MATH 244: Geometries

    Euclidean geometry from an advanced perspective; projective, hyperbolic, inversive, and/or other geometries. In addition to foundations, various topics such as transformation and convexity will be treated. Recommended for prospective secondary school teachers. Prerequisite: Mathematics 236. 6; Mathematics and Natural Sciences; offered Winter 2008 -- D. Haunsperger
  • MATH 245: Applied Regression Analysis

    A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of software to analyze real-life data. Prerequisites: Mathematics 215 (or equivalent) or 275. 6; Mathematics and Natural Sciences; offered Winter 2008 -- K. St. Clair
  • MATH 251: Chaotic Dynamics

    An exploration of the behavior of non-linear dynamical systems. Topics include one-dimensional dynamics, Feigenbaum's universality, Sarkovskii's Theorem, chaos, symbolic dynamics, fractals, structural stability, Smale's horseshoe map, strange attractors and bifurcation theory. Some point-set topology will be developed as needed. Prerequisite: Mathematics 236 or consent of the instructor. 6; Mathematics and Natural Sciences; not offered 2007-2008
  • MATH 265: Probability

    Introduction to probability and its applications. Topics include: combinatorial analysis used in computing probabilities, random variables, independence, joint and conditional distributions, expectation, law of large numbers and properties of the most common probability distributions. Prerequisite: Mathematics 211. 6; Mathematics and Natural Sciences; offered Fall 2007 -- R. Dobrow
  • MATH 275: Mathematical Statistics

    Introduction to mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: confidence intervals, hypothesis testing, parameter estimation, maximum likelihood, goodness of fit tests and regressions. A statistical software package will be used to analyze data sets. Prerequisite: Mathematics 265. 6; Mathematics and Natural Sciences; offered Winter 2008 -- L. Chihara
  • MATH 285: Topics: Sample Survey Design and Analysis

      A development of the statistical theory and methods used to design and analyze sample surveys. Topics include: questionnaire design; sampling designs: simple random sampling, stratified random sampling, one- and two-stage cluster sampling, double-sampling for stratification; ratio and regression estimation; domain (subpopulation) estimation; unequal probability sampling; adjusting for nonresponse. Extensive use of software to analyze real-life data. Prerequisites: Math 215 (or equivalent) or 275   6; Mathematics and Natural Sciences; offered Spring 2008 -- K. St. Clair
    Extended departmental description for MATH 285

    This course will cover the statistical theory and methods used to design and analyze sample surveys. We'll briefly discuss questionnaire design, then move on to basic sampling designs: simple random sampling, stratified random sampling, one- and two-stage cluster sampling, and double-sampling for stratification. We will discuss why complicated sampling designs are used in practice and you will have a chance to implement one of these designs (anything but a SRS) in a group project.

  • MATH 295: Seminar in Set Theory

    Introduction to set-theoretic foundations of mathematics. The axiom system of Zermelo-Fraenkel, cardinal and ordinal numbers, and the Axiom of Choice. As time permits, additional topics may include construction of the real numbers, transfinite induction, or consistency/independence proofs. Prereq: Mathematics 236 or consent of the instructor. Will satisfy the Discrete Structures distribution within the Math major. 6; Mathematics and Natural Sciences; offered Spring 2008 -- G. Nelson
  • MATH 312: Elementary Theory of Numbers

    Properties of the integers. Topics include the Euclidean algorithm, classical unsolved problems in number theory, prime factorization, Diophantine equations, congruences, divisibility, Euler's phi function and other multiplicative functions, primitive roots, and quadratic reciprocity. Other topics may include integers as sums of squares, continued fractions, distribution of primes, integers in extension fields, p-adic numbers. Prerequisite: Mathematics 236 or consent of the instructor. 6; Mathematics and Natural Sciences; not offered 2007-2008
  • MATH 321: Real Analysis I

    A systematic study of concepts basic to calculus, such as topology of the real numbers, limits, differentiation, integration, convergence of sequences, and series of functions. Prerequisite: Mathematics 236 or consent of the instructor. 6; Mathematics and Natural Sciences; offered Fall 2007 -- G. Nelson
  • MATH 331: Real Analysis II

    Further topics in analysis such as measure theory, Lebesgue integration or Banach and Hilbert spaces. Prerequisite: Mathematics 321 or consent of the instructor. 6; Mathematics and Natural Sciences; not offered 2007-2008
  • MATH 332: Advanced Linear Algebra

    Selected topics beyond the material of Math 232. Topics may include the Cayley-Hamilton theorem, the spectral theorem, factorizations, canonical forms, determinant functions, estimation of eigenvalues, inner product spaces, dual vector spaces, unitary and Hermitian matrices, operators, infinite-dimensional spaces, and various applications. Prerequisite: Mathematics 236 or consent of the instructor. 6; Mathematics and Natural Sciences; offered Fall 2007 -- M. Krusemeyer
  • MATH 333: Combinatorial Theory

    Deciding on the existence of, finding, and/or counting arrangements, functions, and other desired structures involving finite sets. Some graph and network theory. Counting techniques include the inclusion-exclusion principle, generating functions, and recurrence relations. Existence criteria include the pigeonhole principle, Ramsey's theorem, and Hall's ("marriage") theorem. Prerequisite: Mathematics 236 or consent of the instructor. 6; Mathematics and Natural Sciences; not offered 2007-2008
  • MATH 341: Fourier Series and Boundary Value Problems

    Fourier series and their applications to boundary value problems in partial differential equations. Topics include separation of variables, orthogonal sets of functions, representations of functions in series of orthogonal functions, Sturm-Liouville Theory, Fourier Integrates and Fourier transforms. Prerequisite: Mathematics 241. 6; Mathematics and Natural Sciences; offered Spring 2008 -- S. Patterson
    Extended departmental description for MATH 341

    Partial Differential Equations (PDEs) is the culmination of the calculus sequence in that we get to solve equations in 3-space plus time. Typical equations are those that arise in physics, such as those involving diffusion of heat, vibrating waves, and fields, and also from other areas such as economics. We're interested in establishing the solutions theoretically as well as practically using such methods as separation of variables, Fourier series, Fourier transforms and Green's functions. Consideration of equations in cylindrical and spherical coordinate systems will give rise to special functions such as Legendre polynomials and Bessel functions.

  • MATH 342: Abstract Algebra I

    Introduction to algebraic structures, including groups, rings, and fields. Homomorphisms and quotient structures, polynomials, unique factorization. Other topics may include applications such as Burnside's counting theorem, symmetry groups, polynomial equations, or geometric constructions. Prerequisite: Mathematics 236 or consent of the instructor. 6; Mathematics and Natural Sciences; offered Winter 2008 -- E. Egge
  • MATH 344: Differential Geometry

    Local and global theory of curves, Frenet formulas. Local theory of surfaces, normal curvature, geodesics, Gaussian and mean curvatures, Theorema Egregium. Riemannian geometry. Prerequisite: Mathematics 236 or consent of the instructor. 6; Mathematics and Natural Sciences; not offered 2007-2008
  • MATH 349: Methods of Teaching Mathematics

    Cross-listed with EDUC 350. Methods of teaching mathematics in grades 7-12. Issues in contemporary mathematics education. Regular visits to school classrooms and teaching a class are required. Prerequisite: Senior standing and permission of the instructor. 6; Does not fulfill a distribution requirement; not offered 2007-2008
  • MATH 351: Functions of a Complex Variable

    Algebra and geometry of complex numbers, analytic functions, complex integration, series, residues, applications. Prerequisite: Mathematics 211. 6; Mathematics and Natural Sciences; offered Spring 2008 -- S. Kennedy
    Extended departmental description for MATH 351

    What happens to calculus when you replace the real variable x by the complex variable z = x + iy and the real-valued function y = f(x) by the complex-valued function w = f(z)? For starters, the statement "f is differentiable" becomes more powerful while the idea of integration becomes more flexible---you can now integrate along various paths in the complex plane. Of course this subject is inherently beautiful. But, perhaps surprisingly, a lot of this material can be applied to "real" mathematical and physical problems in which no complex number occurs. For instance, we will see how to compute some important improper integrals of functions such as cos(x^2) that don't have an antiderivative in closed form.

    This course has connections with many other upper-level math courses. Those who have taken other courses should enjoy discovering some of those connections. However, Math 211 is really the only prerequisite!

  • MATH 352: Abstract Algebra II

    An intensive study of one or more of the types of algebraic systems studied in Mathematics 342. Prerequisite: Mathematics 342 or consent of the instructor. 6; Mathematics and Natural Sciences; offered Spring 2008 -- M. Krusemeyer
    Extended departmental description for MATH 352

    So you liked Abstract Algebra I? Then it might well get even better, because you now have the tools to study one or more selected areas in some depth. The choice of topics is not quite fixed yet - there won't be a textbook, and your specific requests or interests might influence what gets done - but the current plan is to spend about five weeks each on the representation theory of finite groups and on Galois theory. Representation theory, which involves describing the structure of groups by using their homomorphisms to matrix groups, is used in classifying and predicting elementary particles (which we won't do) and in chemistry, as well as in mathematics. Galois theory establishes unexpected deep connections between fields and groups - more precisely, between field extensions and groups of automorphisms - and is used widely elsewhere in mathematics, especially within algebra. Both topics have quite beautiful results, but you can't state the results before you really get into the material! However, if you're not sure whether to take the course, feel free to stop by and talk; I might be able to give you some of the flavor of the material by showing an example or two.

  • MATH 354: Topology

    An introduction to the topology of surfaces. We will cover basic point-set, geometric and algebraic topology. Topics include continuity, connectedness and compactness; triangulations and classification of surfaces; topological invariants (Euler characteristic); homology. Prerequisite: Mathematics 236. 6; Mathematics and Natural Sciences; offered Winter 2008 -- J. Davis
    Extended departmental description for MATH 354

    You're traveling through space, you get tired of driving, so you stop off at a road-side planet named Diner. You order some breakfast: coffee and a doughnut. The waitralien comes by and hands you a chocolate-covered coffee cup with a sopping wet doughnut soaked with coffee. Turns out the Dinerians, in addition to only being able to see in black and white, lack the ability to perceive or measure exact distance (or length)--but they do have a very good sense of relative distance. (As in, "You're getting warmer... warmer...nope, you're getting colder now...") Put another way, they're endowed with a keen sense of topological structure, so they can't tell the difference between cups and doughnuts, which are identical from the point of view of topology. What other things can the Dinerians see? If you want to find out you'll have to take the course.

  • MATH 395: Topics in Combinatorics: The Alternating Sign Matrix Conjectures

    Study of alternating sign matrices, plane partitions, and related generating functions, with a focus on recent results such as the MacMahon conjecture and the Macdonald conjecture. Related topics such as partitions, determinants, lattice paths, symmetric functions, hypergeometric series, and statistical mechanics will be developed as needed. 6; Mathematics and Natural Sciences; offered Spring 2008 -- E. Egge
    Extended departmental description for MATH 395

    In the early 1980s, mathematicians William Mills, David Robbins, and Howard Rumsey were studying an old method of computing determinants called ``Dodgson Condensation'', which is named after Charles L. Dodgson (aka Lewis Carroll), who had studied it nearly a century before. Mills, Robbins, and Rumsey soon realized that to understand Dodgson condensation, they needed to understand a new collection of objects, called alternating sign matrices, which generalize permutation matrices. They conjectured a remarkable formula for the number of n by n alternating sign matrices, which they were unable to prove. This conjecture soon became known as the alternating sign matrix conjecture, and it is one of the conjectures about which David Robbins wrote in the early 90s, ``These conjectures are of such compelling simplicity that it is hard to understand how any mathematician can bear the pain of living without understanding why they are true.'' While they were trying to prove the alternating sign matrix conjecture, Mills, Robbins, and Rumsey discovered deep connections between alternating sign matrices and plane partitions (which can be thought of as stacks of blocks in a corner), which allowed them to prove a longstanding conjecture about certain symmetric plane partitions. The story of these two conjectures, along with twelve other related conjectures, is told by David Bressoud in his book Proofs and Confirmations. We'll use this book as our text, as we learn about these conjectures and their proofs.

  • MATH 400: Integrative Exercise

    A mathematical talk on an assigned topic, presented by the registered senior mathematics major. Required of all senior majors. Prerequisite: Mathematics 236 and successful completion of three courses from among: Mathematics courses numbered above 236, Computer Science 252, Computer Science 254. 3; S/NC; Does not fulfill a distribution requirement; offered Fall 2007, Winter 2008, Spring 2008 -- Staff