F1 Visa Holders who participate in an offcampus internship must take a course related to the internship to satisfy the curricular credit requirement. For mathematics or statistics majors, the course is Math 297. Please read the full description of the course: Math 297 Assessment and Communication of External Mathematical Activity.
For information about placement into Calculus or Statistics, please visit the Math/Stats Placement page.
 2018–2019 Courses:
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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). Prerequisites: Not open to students who have received credit for Math 111. 6 credits; Formal or Statistical Reasoning; offered Winter 2019 · Deanna 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. Prerequisites: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101. 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019 · Michael Cohen, Caroline TurnageButterbaugh 
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 widerange 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, twoway tables, and inference.
Prerequisites: Not open to students who have already received credit for Mathematics 211, Mathematics 215, Psychology 200/201, or Sociology/Anthropology 239 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; not offered 2018–2019 
MATH 120: Calculus 2
Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.
Prerequisites: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Kate Hake, Rafe Jones, Alex Barrios, Michael Cohen, Rob Thompson 
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 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Winter 2019 · Deanna Haunsperger 
MATH 210: Calculus 3
Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green’s theorem, sequences and series, power series, Taylor series.
Prerequisites: Math 120. Not open to students who have received credit for Math 211 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Michael Cohen, Kate Hake, Alex Barrios, Owen Biesel 
MATH 211: Introduction to Multivariable Calculus
Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green’s theorem. Prerequisites: Mathematics 121 or placement via Calculus Placement Exam #3 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019 · Gail Nelson, Owen Biesel 
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 twoway tables. Students who have received credit for Mathematics 115 may petition the department to seek approval to register for Mathematics 215. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265275 ProbabilityStatistics sequence.
Prerequisites: Not open to students who have already received credit for Math 115, Psychology 200/201, Sociology/Anthropology 239 or Math 275. 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Adam Loy, Laura Chihara, Katie St. Clair, Andy Poppick 
MATH 232: Linear Algebra
Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues. Prerequisites: Mathematics 120 or 211 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Eric Egge, Sam Patterson, Owen Biesel, Alex Barrios, Rafe Jones 
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. Prerequisites: Mathematics 232 and either Mathematics 210 or Mathematics 211 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Gail Nelson, Rafe Jones, Mark Krusemeyer 
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 instructor permission 6 credits; Formal or Statistical Reasoning; offered Winter 2019, Spring 2019 · Mark Krusemeyer, Michael Cohen 
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 reallife data. Prerequisites: Mathematics 215 (or equivalent) or 275 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Laura Chihara, Adam Loy 
MATH 251: Chaotic Dynamics
An exploration of the behavior of nonlinear dynamical systems. Topics include one and twodimensional dynamics, Sarkovskii’s Theorem, chaos, symbolic dynamics,and the Hénon Map.
Prerequisites: Mathematics 232 or instructor permission 6 credits; Formal or Statistical Reasoning; offered Fall 2018 · Sam Patterson 
MATH 255: Introduction to Sampling Techniques
Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like twophase and multistage designs. Inference and estimation techniques for most of these designs will be covered and the idea of sampling weights for a survey will be introduced. We may also cover topics like graphing complex survey data and exploring relationships in complex survey data using regression and chisquare tests.
Prerequisites: Mathematics 215 or 275 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Spring 2019 · Katie St. Clair 
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. Prerequisites: Mathematics 210 or 211 6 credits; Formal or Statistical Reasoning; offered Spring 2019 · Caroline TurnageButterbaugh 
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. Prerequisites: Mathematics 120 or 211 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019 · Laura Chihara, Josh Davis, Katie St. Clair 
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 reallife data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodnessoffit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets. Prerequisites: Mathematics 265 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2019, Spring 2019 · Laura Chihara, Andy Poppick 
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. Prerequisites: Mathematics 245 and instructor permission 2 credits; S/CR/NC; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick 
MATH 285: Introduction to Data Science
This course will cover the computational side of data analysis, including data acquisition, management and visualization tools. Topics may include: data scraping, clean up and manipulation, data visualization using packages such as ggplots, understanding and visualizing spatial and network data, and supervised and unsupervised classification methods. We will use the statistics software R in this course.
Prerequisites: Mathematics 215 or Mathematics 275 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2019 · Adam Loy 
MATH 295: Combinatorial Games
An introduction to the theory and practice of combinatorial games, which are twoplayer games in which players take turns, both players have complete information about the state of the game at all times, and there is no chance involved. Topics may include impartial games, a complete solution to nim, nim’s relationship with other impartial games, the correspondence between games and numbers, sums of games, birthdays of games, hot games, and thermographs of games. Specific games will be studied as examples of the general theory, possibly including hackenbush, domineering, amazons, chomp, the octal games, and variations of these games.
Prerequisites: Mathematics 236 or instructor consent 6 credits; Formal or Statistical Reasoning; offered Spring 2019 · Eric Egge 
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 ndimensional form of the familiar Fundamental Theorem of Calculus. Modern treatments of other topics from advanced calculus will be considered as time permits.
Prerequisites: Mathematics 236 or instructor permission 6 credits; Formal or Statistical Reasoning; not offered 2018–2019 
MATH 295: Numerical Analysis
Methods of mathematical approximation and applications to scientific computing. Topics include optimization, interpolation, numerical linear algebra, solution of differential equations, and Fourier methods. Both theory and implementation of numerical algorithms will be emphasized.
Prerequisites: Mathematics 232 6 credits; Formal or Statistical Reasoning; not offered 2018–2019 
MATH 295: Seminar in Set Theory
Introduction to settheoretic foundations of mathematics. The axiom system of ZermeloFraenkel, cardinal and ordinal numbers, and the Axiom of Choice. As time permits, additional topics may include construction of the real number, transfinite induction, or consistency/independence proofs.
Prerequisites: Mathematics 236 or instructor permission 6 credits; Formal or Statistical Reasoning; not offered 2018–2019 
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. Prerequisites: Permission of department chair and homework in advance of the external mathematical activity 1 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Fall 2018, Winter 2019, Spring 2019 · Eric Egge 
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, padic numbers. Prerequisites: Mathematics 236 or consent of the instructor. 6 credits; Formal or Statistical Reasoning; offered Spring 2019 · Caroline TurnageButterbaugh 
MATH 315: Topics Probability/Statistics: Bayesian Statistics
An introduction to statistical inference and modeling in the Bayesian paradigm. Topics include Bayes’ Theorem, common prior and posterior distributions, hierarchical models, Markov chain Monte Carlo methods (e.g., the MetropolisHastings algorithm and Gibbs sampler) and model adequacy and posterior predictive checks. The course uses R extensively for simulations.
Prerequisites: Mathematics 275 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018 · Adam Loy 
MATH 315: Topics Probability/Statistics: Time Series Analysis
Models and methods for characterizing dependence in data that are ordered in time. Emphasis on univariate, quantitative data observed over evenly spaced intervals. Topics include perspectives from both the time domain (e.g., autoregressive and moving average models, and their extensions) and the frequency domain (e.g., periodogram smoothing and parametric models for the spectral density).
Prerequisites: Mathematics 245 and 275. Exposure to matrix algebra may be helpful but is not required 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; not offered 2018–2019 
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. Prerequisites: Mathematics 236 or permission of the instructor 6 credits; Formal or Statistical Reasoning; offered Winter 2019 · Owen Biesel 
MATH 331: Real Analysis II
Further topics in analysis such as measure theory, Lebesgue integration or Banach and Hilbert spaces. Prerequisites: Mathematics 321 or instructor permission 6 credits; Formal or Statistical Reasoning; offered Spring 2019 · Gail Nelson 
MATH 332: Advanced Linear Algebra
Selected topics beyond the material of Mathematics 232. Topics may include the CayleyHamilton theorem, the spectral theorem, factorizations, canonical forms, determinant functions, estimation of eigenvalues, inner product spaces, dual vector spaces, unitary and Hermitian matrices, operators, infinitedimensional spaces, and various applications. Prerequisites: Mathematics 236 or instructor permission 6 credits; Formal or Statistical Reasoning; not offered 2018–2019 
MATH 333: Combinatorial Theory
The study of structures involving finite sets. Counting techniques, including generating functions, recurrence relations, and the inclusionexclusion 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. Prerequisites: Mathematics 236 or instructor permission 6 credits; Formal or Statistical Reasoning; offered Fall 2018 · Eric Egge 
MATH 341: Partial Differential Equations
An introduction to partial differential equations with emphasis on the heat equation, wave equation, and Laplace’s equation. Topics include the method of characteristics, separation of variables, Fourier series, Fourier transforms and existence/uniqueness of solutions.
Prerequisites: Mathematics 241 6 credits; Formal or Statistical Reasoning; offered Spring 2019 · Rob Thompson 
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. Prerequisites: Mathematics 236 or instructor permission 6 credits; Formal or Statistical Reasoning; offered Fall 2018, Spring 2019 · Rafe Jones, Owen Biesel 
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. Prerequisites: Mathematics 236 or permission of the instructor. 6 credits; Formal or Statistical Reasoning; offered Winter 2019 · Gail Nelson 
MATH 345: Advanced Statistical Modeling
Topics include linear mixed effects models for repeated measures, longitudinal or hierarchical data and generalized linear models (of which logistic and Poisson regression are special cases) including zeroinflated Poisson models. Depending on time, additional topics could include survival analysis, generalized additive models or models for spatial data.
Prerequisites: Mathematics 245 and Mathematics 275 or permission of instructor. Familiarity with matrix algebra helpful but not required 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; not offered 2018–2019 
MATH 349: Methods of Teaching Mathematics
Methods of teaching mathematics in grades 712. Issues in contemporary mathematics education. Regular visits to school classrooms and teaching a class are required. Prerequisites: Junior or senior standing and instructor permission 6 credits; Does not fulfill a curricular exploration requirement; offered Winter 2019 · Deanna Haunsperger 
MATH 352: Topics in Abstract Algebra
An intensive study of one or more of the types of algebraic systems studied in Mathematics 342. Prerequisites: Mathematics 342 6 credits; Formal or Statistical Reasoning; offered Winter 2019 · Mark Krusemeyer 
MATH 354: Topology
An introduction to the study of topological spaces. We develop concepts from pointset 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.
Prerequisites: Mathematics 236 or instructor permission 6 credits; Formal or Statistical Reasoning; not offered 2018–2019 
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. Prerequisites: Mathematics 232 and 265 6 credits; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; not offered 2018–2019 
MATH 395: Topics in the Theory of Elliptic Curves
Introduction to the geometry and arithmetic of elliptic curves, with selected advanced topics. Introductory topics include the geometry of cubics, the group law on an elliptic curve, points of finite order, the group of rational points, heights and the MordellWeil theorem. Students will have the opportunity to explore advanced topics such as: integral points on elliptic curves; elliptic curves over finite fields; elliptic curves and cryptography; and links between elliptic curves and Fermat’s Last Theorem.
Prerequisites: Mathematics 342, an equivalent Budapest or Moscow Semester in Mathematics course or instructor permission 6 credits; Formal or Statistical Reasoning; offered Winter 2019 · Rafe Jones 
MATH 400: Integrative Exercise
Either a supervised smallgroup research project or an individual, independent reading. Required of all senior majors. Prerequisites: Mathematics 236 and successful completion of three courses from among: Mathematics courses numbered above 236, Computer Science 252, Computer Science 254 3 credits; S/NC; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Gail Nelson, Laura Chihara, Adam Loy, Caroline TurnageButterbaugh, Eric Egge, Kate Hake, Michael Cohen, Owen Biesel