Courses
Notes:
 Math 315: Stochastic Processes has been renumbered: Math 365
 For information about placement into Calculus or Statistics, please visit the Math/Stats Placement page.
 2015–2016 Courses:
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MATH 100: Explorations in Geometry
What is geometry? The word is derived from the Greek words "geo" meaning earth, and "metron" meaning measure. Thus, geometry is about measuring the earth, and in a wider sense, everything surrounding us. The geometry we typically study in school leaves off with the ancient Greeks, but geometry is central to both modern mathematics and physics. In this seminar, we will explore further aspects of geometry in the familiar dimensions two and three, and we will discover higher dimensions and the fractional dimensions in between. Moreover, we will investigate the role geometry plays in applications as diverse as topography, medical diagnostics, 3D printing, architecture, and art. 6 credit; Argument and Inquiry Seminar, Writing Requirement; offered Fall 2015 · A. Tanguay 
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 credit; Formal or Statistical Reasoning; offered Fall 2015 · D. 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 credit; Formal or Statistical Reasoning; not offered 2015–2016 
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 credit; Formal or Statistical Reasoning; offered Fall 2015, Winter 2016 · P. Shereen, R. Thompson 
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 or Psychology 200/201 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2015 · D. Watson 
MATH 121: Calculus II
Integration techniques, improper integrals, the calculus of the logarithmic, exponential and inverse trigonometric functions, applications, Taylor polynomials and infinite series. Prerequisites: Mathematics 101, 111 or placement via Calculus Placement Exam # 2 6 credit; Formal or Statistical Reasoning; offered Fall 2015, Winter 2016, Spring 2016 · B. Patrias, J. Hahn, P. Shereen, D. Haunsperger, G. Nelson, R. Thompson, S. Kennedy 
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 2016 · D. Watson 
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 credit; Formal or Statistical Reasoning; offered Fall 2015, Winter 2016, Spring 2016 · B. Patrias, A. Tanguay, R. Thompson, H. Wong, S. Patterson, G. Nelson 
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. Prerequisites: Not open to students who have already received credit for Math 115, Psychology 200/201 or Math 275. 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2015, Winter 2016, Spring 2016 · D. Watson, B. Dobrow, C. Kohnen, K. St. Clair 
MATH 232: Linear Algebra
Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues. Prerequisites: Mathematics 211 6 credit; Formal or Statistical Reasoning; offered Fall 2015, Winter 2016, Spring 2016 · P. Shereen, M. Krusemeyer, S. Patterson, E. Egge 
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 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2015, Winter 2016, Spring 2016 · D. Haunsperger, E. EggeExtended 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 problemssolving; 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 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. Prerequisites: Mathematics 236 and instructor permission 2 credit; Does not fulfill a curricular exploration requirement; not offered 2015–2016 
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: MATH 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2016, Spring 2016 · R. Thompson, A. Tanguay 
MATH 244: Geometries
Euclidean geometry from an advanced perspective; projective, hyperbolic, inversive, and/or other geometries. Recommended for prospective secondary school teachers. Prerequisites: Mathematics 236 6 credit; Formal or Statistical Reasoning; offered Fall 2015 · 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 statistical software to analyze reallife data. Prerequisites: Mathematics 215 (or equivalent) or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2015, Winter 2016, Spring 2016 · K. St. Clair, L. Chihara 
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 credit; Formal or Statistical Reasoning; not offered 2015–2016 
MATH 255: Survey Sampling
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. This course will also teach methods for graphing complex survey data and exploring relationships in complex survey data using regression and chisquare tests. Prerequisites: Mathematics 215 or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2015 · K. 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 211 6 credit; Formal or Statistical Reasoning; not offered 2015–2016 
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 211 6 credit; Formal or Statistical Reasoning; offered Fall 2015, Winter 2016 · L. Chihara, B. 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 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 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2016, Spring 2016 · D. Watson, B. Dobrow 
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 credit; S/CR/NC; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2015, Winter 2016, Spring 2016 · L. Chihara 
MATH 295: Seminar in the History of Mathematics
Close readings of various mathematical works dating from the classical Greek era through the nineteenth century; choices designed to illuminate the major developments of mathematics. Prerequisites: MATH 236 or instructor permission 6 credit; Humanistic Inquiry; offered Fall 2015 · S. Kennedy 
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. Prerequisite: Mathematics 236 or permission of the instructor. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2016 · G. Nelson 
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 2015, Winter 2016, Spring 2016 · L. Chihara, D. Haunsperger 
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 credit; Formal or Statistical Reasoning; not offered 2015–2016 
MATH 315: Topics in Probability and Statistics: Advanced Statistical Modeling
This course is a followup to Applied Regression Analysis: we will study Generalized Linear Models of which logistic and Poisson models are special cases. We will also cover methods for handling correlated data such as that found in longitudinal studies. We will work with case studies and use R extensively.
Prerequisites: Mathematics 245 and 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Spring 2016 · L. Chihara 
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 credit; Formal or Statistical Reasoning; offered Fall 2015, Spring 2016 · G. Nelson, S. Patterson 
MATH 331: Real Analysis II
Further topics in analysis such as measure theory, Lebesgue integration or Banach and Hilbert spaces. Prerequisites: MATH 321 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2016 · G. 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 credit; Formal or Statistical Reasoning; offered Winter 2016 · M. Krusemeyer 
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 credit; Formal or Statistical Reasoning; not offered 2015–2016 
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, SturmLiouville theory, and Fourier transforms. Prerequisites: Mathematics 241 6 credit; Formal or Statistical Reasoning; offered Spring 2016 · A. TanguayExtended departmental description for MATH 341
Math 341 has two major themes.Â One is the development of a method of solution of certain partial differential equations.Â The other is a careful examination of some of the surprising consequences of that method.
The partial differential equations considered are the heat equation, Laplaceâ€™s equation, the wave equation and SchrÃ¶dingerâ€™s equation.Â Examination of the method (called Fourierâ€™s method) leads to expressing a given function as an infinite series (a Fourier series) of sines and cosines. Â
Topics include Fourier series and integrals, innerproduct spaces, orthogonality, selfadjoint operators, and SturmLiouville theory. 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. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2016 · 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. Prerequisites: Mathematics 236 or permission of the instructor. 6 credit; Formal or Statistical Reasoning; not offered 2015–2016 
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 credit; Does not fulfill a curricular exploration requirement; not offered 2015–2016 
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 credit; Formal or Statistical Reasoning; offered Spring 2016 · M. 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 321 or instructor permission 6 credit; Formal or Statistical Reasoning; not offered 2015–2016 
MATH 361: Complex Analysis
The theoretical foundations for the calculus of functions of a complex variable. Not open to students who have taken Mathematics 351 Functions of a Complex Variable. Prerequisites: Mathematics 321 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2016 · S. Kennedy 
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 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; not offered 2015–2016 
MATH 395: Topics in Combinatorics
Selected topics beyond the material of Math 333. Topics may include Stirling numbers, perfect graphs, exponential generating functions, advanced generating functionology, hypergeometric series, enumeration of plane partitions, combinatorial qanalogues, the hook length formula, and the transfermatrix method. Prerequisites: MATH 333, an equivalent Budapest Semesters in MATH course, or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2016 · E. Egge 
MATH 395: Topics in Stochastic Processes and Probability
Selected topics in stochastic processes and/or probability beyond the level of Math 265/365. Topics may include: Branching processes in public health applications, rates of convergence of Markov chains, perfect sampling algorithms, Markov chain Monte Carlo, card shuffling, queueing theory, and stochastic calculus. Prerequisites: Mathematics 236, 265 and instructor permission 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2015 · B. Dobrow 
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 credit; S/NC; offered Fall 2015, Winter 2016, Spring 2016 · K. St. Clair, D. Watson, R. Thompson, A. Tanguay, P. Shereen, B. Dobrow, D. Haunsperger, E. Egge, L. Chihara