Mathematics is an art, a pure science, a language, and an analytical tool for the natural and social sciences, a means of exploring philosophical questions, and a beautiful edifice that is a tribute to human creativity. The mathematic curriculum is designed to provide essential skills for students in a variety of disciplines and to provide mathematics majors with a deep understanding of mathematics as it has evolved over the past two thousand years and how it is practiced today.
There are two tracks in the major: Mathematics and Mathematics/Statistics (a double major is not allowed in the two tracks). Students choose from the same integrative exercise choices.
Requirements for the Mathematics Track
The course requirements are Mathematics 101 or 111, 121, 211, 232, 236 and six advanced courses from among: Mathematics courses numbered above 236 and Computer Science 252, 254. Potential majors with especially strong preparation may petition the department for exemption from the Mathematics 232 and/or 236 requirement(s). Mathematics majors are encouraged to take Computer Science 111.
At least three of the following five areas of mathematics must be represented by the six advanced courses.
Algebra: Mathematics 312, 332, 342, 352
Analysis: Mathematics 251, 321, 331, 351
Applied Mathematics: Mathematics 241, 245, 265, 275, 315, 341
Discrete Structures: Mathematics 333, Computer Science 252, 254
Geometry and Topology: Mathematics 244, 344, 354
In addition, each senior major must complete an integrative exercise which consists of a group or original research project. Majors are required to participate in the mathematical life of the department by attending colloquia, comps presentations, and other activities.
There are many patterns of courses for the major depending upon a student's mathematical interests and career goals. A guide for majors, which supplies information about suitable patterns of courses, is available on the Mathematics department web site. Those planning to attend graduate school should consider acquiring a reading knowledge of at least one of the following languages: French, German or Russian.
In order to meet State of Minnesota certification requirements, prospective secondary school teachers must take Mathematics 265, 275, 244 (recommended) or 344, and 349. A computer science course is also strongly recommended.
Requirements for the Mathematics/Statistics Track
Mathematics 101 or 111, 121, 211, 232, 236, 245, 265, 275, 315, plus two mathematics electives above 236, at least one of which must be taken outside of the Applied Mathematics area. In addition, each senior major must complete an integrative exercise which consists of a group or original research project. Majors are required to participate in the mathematical life of the department by attending colloquia, comps presentations, and other activities. CS 111 (Introduction to Computer Science) is also recommended. Students on this track are strongly encouraged to engage in some data analysis learning experience outside the classroom such as an internship involving data analysis, a research experience with a statistician, either on or off campus, or a comps project that is explicitly statistical in nature. Students interested in graduate school in statistics are advised to take Mathematics 321 (Real Analysis I).
Major under Combined Plan in Engineering (see Engineering in index):
In addition to completing requirements for the mathematics major listed above including Mathematics 241 and 341, the student should take the following courses required for admission to engineering schools: Two terms of 100-level Physics, Chemistry 123, 230, and Computer Science 111.
Mathematics Skills Center:
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 cr., MS; FSR, FallD. Haunsperger
MATH 106. Introduction to Mathematics This course is designed to provide an understanding of fundamental concepts, and examples of 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 cr., MS; FSR, WinterS. Kennedy
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. Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101. 6 cr., MS; FSR, Fall,WinterStaff
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. 6 cr., MS; FSR, QRE, Fall,SpringB. Shea, K. St. Clair
MATH 121. Calculus II Integration techniques, improper integrals, the calculus of the logarithmic, exponential and inverse trigonometric functions, applications, Taylor polynomials and infinite series. Prerequisite: Mathematics 101, 111 or placement via Calculus Placement Exam #2. 6 cr., MS; FSR, Fall,Winter,SpringStaff
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 cr., S/CR/NC, MS; NE, WinterStaff
MATH 211. Introduction to Multivariable Calculus Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem. Prerequisite: Mathematics 121 or placement via Calculus Placement Exam #3. 6 cr., MS; FSR, Fall,Winter,SpringStaff
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 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 cr., MS; FSR, QRE, Fall,Winter,SpringStaff
MATH 232. Linear Algebra Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues; connections with multivariable calculus. Prerequisite: Mathematics 211. 6 cr., MS; FSR, Fall,Winter,SpringStaff
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, graph theory, and basic combinatorics. Prerequisite: Mathematics 232 or consent of the instructor. 6 cr., MS; FSR, Fall,Winter,SpringE. Egge, J. Goldfeather, D. Haunsperger
MATH 241. Ordinary Differential Equations An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis. Prerequisites: Mathematics 232 or permission of the instructor. 6 cr., MS; FSR, Winter,SpringM. 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 cr., MS; FSR, Offered in alternate years. Not offered in 2012-2013.
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 statistical software to analyze real-life data. Prerequisites: Mathematics 215 (or equivalent) or 275. 6 cr., MS; FSR, QRE, Winter,SpringL. Chihara, K. St. Clair
MATH 251. Chaotic Dynamics An exploration of the behavior of non-linear dynamical systems. Topics include one-and two-dimensional dynamics, Sarkovskii's Theorem, chaos, symbolic dynamics, and the Hénon Map. Prerequisite: Mathematics 236 or consent of the instructor. 6 cr., MS; FSR, Offered in alternate years. WinterS. Patterson
MATH 265. Probability Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions. Prerequisite: Mathematics 211. 6 cr., MS; FSR, FallR. Dobrow, L. Chihara
MATH 275. Introduction to Statistical Inference Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets. Prerequisite: Mathematics 265. 6 cr., MS; FSR, QRE, WinterK. St. Clair
MATH 295. History of Mathematics Close readings of various mathematical works dating from the seventeenth through nineteenth centuries; choices designed to illuminate the major developments of modern mathematics. Prerequisite: Mathematics 236. 6 cr., MS; FSR, SpringS. Kennedy
MATH 297. Assessment and Communication of External Mathematical Activity An independent study course intended for students who have completed an external activity related to the mathematics major (for example, an internship or an externship) to communicate (both in written and oral forms) and assess their mathematical learning from that activity. Prerequisite: Permission of Department Chair and homework in advance of the external mathematical activity. 1 cr., S/CR/NC, ND; NE, FallStaff
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 cr., MS; FSR, Offered in alternate years. SpringR. Jones
MATH 315. Topics in Probability and Statistics: Stochastic Processes Introduction to the main discrete and continuous time stochastic processes. Topics include Markov chains, Poisson process, continuous time Markov chains, Brownian motion. Use of R and/or Mathematica. Prerequisite: Mathematics 232 and 265. Mathematics 232 may be waived with consent of instructor. 6 cr., MS; FSR, QRE, Offered in alternate years. SpringR. Dobrow
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 cr., MS; FSR, FallG. 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 cr., MS; FSR, Offered in alternate years. WinterG. Nelson
MATH 332. Advanced Linear Algebra Selected topics beyond the material of Mathematics 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 cr., MS; FSR, Offered in alternate years. Not offered in 2012-2013.
MATH 333. Combinatorial Theory The study of structures involving finite sets. Counting techniques, including generating functions, recurrence relations, and the inclusion-exclusion principle; existence criteria, including Ramsey's theorem and the pigeonhole principle. Some combinatorial identities and bijective proofs. Other topics may include graph and/or network theory, Hall's ("marriage") theorem, partitions, and hypergeometric series. Prerequisite: Mathematics 236 or permission of instructor. 6 cr., MS; FSR, Offered in alternate years. FallE. Egge
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, Fourier transforms, and uniqueness of solutions. Prerequisite: Mathematics 241. 6 cr., MS; FSR, SpringG. Nelson
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 cr., MS; FSR, WinterM. Krusemeyer
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. Prerequisite: Mathematics 236 or consent of the instructor. 6 cr., MS; FSR, Offered in alternate years. FallS. Patterson
MATH 349. Methods of Teaching Mathematics 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: Junior or senior standing and permission of the instructor. 6 cr., ND; NE, Offered in alternate years. SpringD. Haunsperger
MATH 351. Functions of a Complex Variable Algebra and geometry of complex numbers, analytic functions, complex integration, series, residues, applications. Prerequisite: Mathematics 211. 6 cr., MS; FSR, Offered in alternate years. SpringS. Kennedy
MATH 352. Topics in Abstract Algebra An intensive study of one or more of the types of algebraic systems studied in Mathematics 342. Prerequisite: Mathematics 342. 6 cr., FSR, Springvaries; Mark Krusemeyer this spring
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 cr., MS; FSR, Offered in alternate years. Not offered in 2012-2013.
MATH 395. Topics in Probability Selected topics in Probability beyond the level of Math 265. Topics may include: characteristic functions and limit theorems, convergence, poisson process, coupling, martingales, poisson approximation, bounding probabilities. Prerequisite: Mathematics 236, 265 and permission of instructor. 6 cr., S/CR/NC, MS; FSR, QRE, WinterR. Dobrow
MATH 400. Integrative Exercise A supervised small-group research project for senior mathematics majors. 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. 6 cr., S/NC, ND, Fall,Winter,SpringStaff