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.
  • 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 2016 · 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 2016–2017
  • 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 2016, Winter 2017 · R. Thompson, P. Shereen
  • 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. 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 2016 · B. Dobrow
  • 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 2016, Winter 2017, Spring 2017 · E. Egge, R. Thompson, R. Jones, L. Sattler
  • 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 2017
  • 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 2016, Winter 2017, Spring 2017 · H. Wong, P. Shereen, S. Patterson, M. Krusemeyer, E. Egge
  • 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. 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 265-275 Probability-Statistics sequence.

    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 2016, Winter 2017, Spring 2017 · L. Chihara, K. St. Clair, A. Poppick
  • 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 2016, Winter 2017, Spring 2017 · M. Krusemeyer, B. Dobrow, S. Patterson, P. Shereen
  • 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 2016, Winter 2017, Spring 2017 · H. Wong, M. Krusemeyer, R. Jones, 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 ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis. Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2017, Spring 2017 · S. Patterson, R. Thompson
  • 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; not offered 2016–2017
  • 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 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2016, Winter 2017, Spring 2017 · K. St. Clair, L. Chihara
  • 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.

    Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2016 · S. Kennedy
  • MATH 255: Introduction to Sampling Techniques

    Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like two-phase 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 chi-square tests.

    Prerequisites: Mathematics 215 or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; not offered 2016–2017
  • 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; offered Spring 2017 · S. 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. Prerequisites: Mathematics 211 6 credit; Formal or Statistical Reasoning; offered Fall 2016, Winter 2017 · 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 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. Prerequisites: Mathematics 265 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2017, Spring 2017 · 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 2016, Winter 2017, Spring 2017 · K. St. Clair
  • MATH 295: Coding Theory

    This course is an introduction to error-correcting codes. The course will cover topics including linear codes, Hamming codes and cyclic codes. Additional topics may include low-density parity-check codes and perfect codes.

    Prerequisites: Mathematics 232 and 236 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · P. Shereen
  • MATH 295: Seminar in Low-dimensional Topology

    A combinatorial introduction to the study of manifolds in dimensions less than four, including selected topics in knot theory.   

    Prerequisites: Mathematics 236 6 credit; Formal or Statistical Reasoning; offered Fall 2016 · H. Wong
  • 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 2016, Winter 2017, Spring 2017
  • 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. Prerequisites: Mathematics 236 or consent of the instructor. 6 credit; Formal or Statistical Reasoning; offered Winter 2017 · M. Krusemeyer
  • MATH 315: Topics Probability/Statistics: Data Science

    This course will cover the computational side of data analysis, including data acquisition, management and visualization tools. Topics may include data scraping and manipulation, unstructured data, data visualization using packages such as ggplots, cross-validation, classification, and network analysis.

    Prerequisites: Mathematics 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2016 · K. St. Clair
  • 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 Winter 2017 · H. Wong
  • 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 credit; Formal or Statistical Reasoning; offered Spring 2017 · S. Kennedy
  • 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. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; not offered 2016–2017
  • 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. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · E. 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, Sturm-Liouville theory, and Fourier transforms. Prerequisites: Mathematics 241 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · R. Thompson
    Extended departmental description for MATH 341

    Math 341 has two major themes.  One is the development of a method of solution of certain partial differential equations.  The other is a careful examination of some of the surprising consequences of that method.

    The partial differential equations considered are the heat equation, Laplace’s equation, the wave equation and Schrödinger’s equation.  Examination of the method (called Fourier’s method) leads to expressing a given function as an infinite series (a Fourier series) of sines and cosines.  

    Topics include Fourier series and integrals, inner-product spaces, orthogonality, self-adjoint operators, and Sturm-Liouville 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 Fall 2016 · M. 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. Prerequisites: Mathematics 236 or permission of the instructor. 6 credit; Formal or Statistical Reasoning; offered Fall 2016 · R. Thompson
  • 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. Prerequisites: Junior or senior standing and instructor permission 6 credit; Does not fulfill a curricular exploration requirement; offered Spring 2017 · D. 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 credit; Formal or Statistical Reasoning; offered Winter 2017 · E. 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. Prerequisites: Mathematics 321 or instructor permission 6 credit; Formal or Statistical Reasoning; not offered 2016–2017
  • 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; not offered 2016–2017
  • 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; offered Spring 2017 · B. Dobrow
  • 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 Mordell-Weil theorem. Students will have the opportunity to explore through group projects advanced topics such as: integral points on elliptic curves; elliptic curves over finite fields; elliptic curves with complex multiplication; and Galois representations on torsion points.

    Prerequisites: Mathematics 342, an equivalent Budapest or Moscow Semester in Mathematics course or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · R. Jones
  • MATH 400: Integrative Exercise

    Either a supervised small-group 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 2016, Winter 2017, Spring 2017 · H. Wong, K. St. Clair, R. Jones, P. Shereen, S. Patterson, M. Krusemeyer, D. Haunsperger, L. Chihara