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
Of the six advanced courses, at most two may be from outside the Carleton Department of Mathematics.
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.
Mathematics 101 or 111, 121, 211, 232, 236, 245, 265, 275, 315, plus two mathematics courses above 236; (one of which may be Computer Science 324), at least one of these two courses must be taken outside of the Applied Mathematics area. Each version of Mathematics 315 may be taken once. 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:
This Center offers extra assistance to students in lower-level mathematics courses and other courses requiring basic mathematical skills.
MATH 100. Combinatorial Games
Combinatorial games are 2-player games in which players take turns making moves, there are no hidden elements, and there is no element of chance. Famous combinatorial games include Chess, Checkers, Go, Dots and Boxes, Hex, Hackenbush, and Nim. In this seminar we will study a variety of combinatorial games, as well as their connections with alternative number systems and mathematical methods of transmitting information over a noisy channel. No particular mathematical background is assumed, but we will spend some time learning to write mathematical arguments about games. 6 cr., WR; AI, WR1, FallE. Egge
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). Prerequisite: Not open to students who have received credit for Math 111. 6 cr., FSR, FallT. Occhipinti
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., FSR, Not offered in 2014-2015.
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: 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., 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. Prerequisite: Not open to students who have already received credit for Mathematics 211, Mathematics 215 or Psychology 200/201. 6 cr., FSR, QRE, Fall,SpringStaff
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., 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, 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., 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, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Prerequisite: Not open to students who have already received credit for Math 115, Psychology 200/201 or Math 275. Students who have taken Math 211 are encouraged to consider the more advanced Math 265-275 probability-statistics sequence. 6 cr., FSR, QRE, Fall,Winter,SpringStaff
MATH 232. Linear Algebra
Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues. Prerequisite: Mathematics 211. 6 cr., FSR, Fall,Winter,SpringE. Egge, J. Goldfeather, R. Jones, S. Kennedy
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., FSR, Fall,Winter,SpringJ. Goldfeather, T. Occhipinti, H. Wong
MATH 237. Designing a Curriculum for Math GED
We will help local communities respond to the latest changes in GED requirements by observing how GED mathematics is currently taught and preparing new curricular materials to teach it in the future. Prerequisite: Mathematics 236 and permission of the instructor. 2 cr., S/CR/NC, NE, Not offered in 2014-2015.
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. Prerequisite: Mathematics 232 or permission of the instructor. 6 cr., FSR, Winter,SpringS. Kennedy, 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 cr., FSR, Offered in alternate years. Not offered in 2014-2015.
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. Prerequisite: Mathematics 215 (or equivalent) or 275. 6 cr., 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 permission of the instructor. 6 cr., FSR, Offered in alternate years. WinterS. Patterson
MATH 261. Functions of a Complex Variable
Algebra and geometry of complex numbers, analytic functions, complex integration, series, residues, applications. Not open to students who have already received credits for Mathematics 361. Prerequisite: Mathematics 211. 6 cr., FSR, Offered in alternate years. SpringStaff
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., FSR, FallL. Chihara, R. Dobrow
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., FSR, QRE, WinterK. St. Clair
MATH 280. Statistical Consulting
Students will apply their statistical knowledge by analyzing data problems solicited from the Northfield community. Students will also learn basic consulting skills, including communication and ethics. Prerequisite: Mathematics 245 and permission of instructor. 2 cr., S/CR/NC, FSR, QRE, Fall,Winter,SpringL. Chihara
MATH 295. Differential Forms and Vector Calculus
Differential Forms provide a modern approach to a classical topic: Vector Calculus. They find applications in such diverse fields as geometry, algebra, engineering, electricity and magnetism, and general relativity. This course will rigorously develop differential forms then apply them to classical topics including divergence, gradient, and curl. A primary focus of the course will be the proof of the generalized Stokes' Theorem which is a general n-dimensional form of the familiar Fundamental Theorem of Calculus. Modern treatments of other topics from advanced calculus will be considered as time permits. Prerequisite: Mathematics 236 or consent of the instructor. 6 cr., FSR, SpringS. Patterson
MATH 295. Cryptography, Coding Theory, and Compression
This course will cover cryptosystems, error correcting codes, and compression methods, including RSA, Diffie-Hellman, Hamming codes, and Huffman coding. The course will also cover methods of breaking codes, including the quadratic sieve. The mathematics behind these methods will be emphasized, including linear algebra, number theory, and probability. The course will include light programming in the freely available software package SAGE, but no knowledge of programming is required. Prerequisite: Mathematics 232 and (Mathematics 236 or Computer Science 202). 6 cr., NE, SpringT. Occhipinti
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, NE, Fall,Winter,Spring
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., FSR, Offered in alternate years. FallR. 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., FSR, QRE, 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., 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., FSR, 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., FSR, Offered in alternate years. Not offered in 2014-2015.
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., FSR, Offered in alternate years. SpringM. Krusemeyer
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, and Fourier transforms. Prerequisite: Mathematics 241. 6 cr., FSR, SpringA. Tanguay
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 permission of the instructor. 6 cr., FSR, WinterE. 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. Prerequisite: Mathematics 236 or permission of the instructor. 6 cr., 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., NE, SpringD. Haunsperger
MATH 351. Functions of a Complex Variable
Cauchy-Riemann equations, analytic functions, complex integration, series, residues, applications. Prerequisite: Mathematics 211. 6 cr., FSR, Not offered in 2014-2015.
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, SpringE. Egge
MATH 354. Topology
An introduction to the study of topological spaces. We develop concepts from point-set and algebraic topology in order to distinguish between different topological spaces up to homeomorphism. Topics include methods of construction of topological spaces; continuity, connectedness, compactness, Hausdorff condition; fundamental group, homotopy of maps. Prerequisite: Mathematics 321 or permission of the instructor. 6 cr., FSR, Offered in alternate years. Not offered in 2014-2015.
MATH 365. 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. 6 cr., FSR, QRE, Offered in alternate years. SpringB. Dobrow
MATH 395. Senior Seminar in Knot Theory
Introduction to the mathematical theory of knots. Basic properties and methods of description. Techniques to distinguish knots, especially algebraic and combinatorial invariants. Applications to biology, chemistry, and physics. Prerequisite: Permission of instructor. 6 cr., NE, WinterH. Wong
MATH 400. Integrative Exercise
Either a supervised small-group research project or an individual, independent reading. 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, NE, FallStaff