Courses

MATH B101 Calculus I

Fall 2025, Spring 2026

This is the first in a sequence of two courses that covers single-variable calculus. Topics include functions, limits, continuity, derivatives, differentiation formulas, applications of derivatives, integrals, and the fundamental theorem of calculus. Prerequisite: proficiency in high-school mathematics (including algebra, geometry, and trigonometry).

Quantitative Methods (QM)

Quantitative Readiness Required (QR)

Counts Toward: Biochemistry & Molecular Bio; Biochemistry Molecular Biology; Biochemistry Molecular Biology; Chemistry; Physics.

Back to top

MATH B101L Calculus I lab

Fall 2025, Spring 2026

This lab course will reinforce the concepts and skills that are needed to be successful in Calculus 1. Students must be enrolled in MATH B101 Calculus I to enroll in this course.

Course does not meet an Approach

Back to top

MATH B102 Calculus II

Fall 2025, Spring 2026

This is the second in a sequence of two courses that covers single-variable calculus. Topics include techniques of integration, applications of integration, infinite sequences and series, tests of convergence for series, and power series. Prerequisite: a merit grade in Math 101 (or an equivalent experience).

Quantitative Methods (QM)

Counts Toward: Biochemistry & Molecular Bio; Biochemistry Molecular Biology; Chemistry; Physics.

Back to top

MATH B104 Basic Probability and Statistics

Fall 2025, Spring 2026

This course introduces key concepts in descriptive and inferential statistics. Topics include summary statistics, graphical displays, correlation, regression, probability, the Law of Large Numbers, expected value, standard error, the Central Limit Theorem, hypothesis testing, sampling procedures, bias, and the use of statistical software.

Quantitative Methods (QM)

Quantitative Readiness Required (QR)

Counts Toward: Data Science; Neuroscience.

Back to top

MATH B195 Select Topics in Mathematics

Section 001 (Fall 2025): Math Modeling and Sustainability

Fall 2025

This is a topics course. Course content varies.

Current topic description: The course will provide students with an introduction to mathematical modeling: using math to analyze real world situation connected to sustainability. Examples will include energy use and carbon footprint in our everyday lives and the potential for renewable energy to meet our energy needs. We will use mathematics to explore the question "Is it worth it?" to invest in energy saving, but potential more expensive, technologies. Students will learn how to use technology (Mathematica and Excel) to help carry out their calculations.

Course does not meet an Approach

Quantitative Methods (QM)

Counts Toward: Data Science.

Back to top

MATH B201 Multivariable Calculus

Fall 2025, Spring 2026

This course extends calculus to functions of multiple variables. Topics include functions, limits, continuity, vectors, directional derivatives, optimization problems, multiple integrals, parametric curves, vector fields, line integrals, surface integrals, and the theorems of Gauss, Green and Stokes. Prerequisite: a merit grade in Math 102 (or an equivalent experience).

Quantitative Methods (QM)

Counts Toward: Biochemistry & Molecular Bio; Biochemistry Molecular Biology; Biochemistry Molecular Biology; Chemistry; Physics.

Back to top

MATH B203 Linear Algebra

Spring 2026

This course considers systems of linear equations, matrix algebra, determinants, vector spaces, subspaces, linear independence, bases, dimension, linear transformations, eigenvalues, eigenvectors, orthogonality, and applications of linear algebra. Prerequisite (or corequisite): Math 102.

Quantitative Methods (QM)

Counts Toward: Physics.

Back to top

MATH B205 Theory of Probability with Applications

Spring 2026

The course analyzes repeatable experiments in which short-term outcomes are uncertain, but long-run behavior is predictable. Topics include: random variables, discrete distributions, continuous densities, conditional probability, expected value, variance, the Law of Large Numbers, and the Central Limit Theorem. Prerequisite: Math 201.

Quantitative Methods (QM)

Counts Toward: Data Science.

Back to top

MATH B206 Transition to Higher Mathematics

Fall 2025, Spring 2026

This course focuses on mathematical writing and proof techniques. Topics include symbolic logic, set notation and quantifiers, proof by contradiction and induction, set notation and operations, relations and partitions, functions, and more. Prerequisite or Co-requisite: MATH B201 or MATH B203. Not open to students who have taken a 300 level Math course

Writing Intensive

Quantitative Methods (QM)

Back to top

MATH B208 Introduction to Modeling and Simulation

Fall 2025

Mathematical models are constructed to describe the complex world within and around us. Computational methods are employed to visualize and solve these models. In this course, we focus on developing mathematical models to describe real-world phenomena, while using computer simulations to examine prescribed and/or random behavior of various systems. The course includes an introduction to programming (in R or Matlab/Octave), and mathematical topics may include discrete dynamical systems, model fitting using least squares, elementary stochastic processes, and linear models (regression, optimization, linear programming). Applications to economics, biology, chemistry, and physics will be explored. Prior programming experience not required. Prerequisite: MATH B102 or the equivalent (merit score on the AP Calculus BC Exam or placement).

Course does not meet an Approach

Quantitative Methods (QM)

Quantitative Readiness Required (QR)

Counts Toward: Data Science.

Back to top

MATH B210 Differential Equations with Applications

Fall 2025

Ordinary differential equations, including general first-order equations, linear equations of higher order and systems of equations, via numerical, geometrical, and analytic methods. Applications to physics, biology, and economics. Co-requisite: MATH 201 or 203.

Quantitative Methods (QM)

Back to top

MATH B221 Introduction to Topology and Geometry

Not offered 2025-26

An introduction to the ideas of topology and geometry through the study of knots and surfaces in three-dimensional space. The course content may vary from year to year, but will generally include some historical perspectives and some discussion of connections with the natural and life sciences. Co-requisite: MATH 201 or 203.

Back to top

MATH B225 Introduction to Financial Mathematics

Not offered 2025-26

Topics to be covered include market conventions and instruments, Black-Scholes option-pricing model, and practical aspects of trading and hedging. All necessary definitions from probability theory (random variables, normal and lognormal distribution, etc.) will be explained. Prerequisite: MATH 102. ECON 105 is recommended.

Back to top

MATH B290 Elementary Number Theory

Not offered 2025-26

Properties of the integers, divisibility, primality and factorization, congruences, Chinese remainder theorem, multiplicative functions, quadratic residues and quadratic reciprocity, continued fractions, and applications to computer science and cryptography. Prerequisite: MATH 102.

Back to top

MATH B295 Select Topics in Mathematics

Section 001 (Fall 2024): Evolutionary Game Theory
Section 001 (Spring 2025): Evolutionary Game Theory
Section 002 (Spring 2025): Codes and Ciphers
Section 003 (Spring 2025): History of Math
Section 001 (Fall 2025): Combinatorics
Section 002 (Fall 2025): Statistical Methods and Their Applications
Section 001 (Spring 2026): Graph Theory
Section 002 (Spring 2026): Statistical Methods and Their Applications

Fall 2025, Spring 2026

This is a topics course. Course content varies. Not all topics are open to first year students.

Current topic description: In this course we consider a collection of techniques for enumerating a set of objects (saying how many there are) without listing all the possibilities (systematically counting them one by one). Combinatorial techniques are often applied to questions of probability in situations when all outcomes are equally likely. For example, in a game of poker, any combination of five cards is equally likely to be dealt from a well-shuffled deck. What is the probability that any particular set of five cards forms a "full house" (three of one rank and two of another)? To answer this question, we divide the number of full-house combinations by the total number of five-card combinations. To obtain these two numbers without listing all the possibilities, we use combinatorics. Although combinatorial problems can often be stated in the language of puzzles and games, the results have applications throughout mathematics, both pure and applied. Topics include: the pigeon-hole principle, mathematical induction, permutations and combinations, binomial identities, partitions, the principle of inclusion and exclusion, recurrence relations, generating functions, and possibly some graph theory.

Current topic description: A "graph" is a set of "vertices" (dots) connected (or not) by "edges" (line segments or arcs). What can be said about such an object? For example, if we allow at most one edge to join each pair of vertices, then what is the maximum number of edges in a graph with N vertices? What is the minimum number of edges necessary for a graph with N vertices to stay "connected" (in one piece)? How many "nonisomorphic" (essentially different) graphs have N vertices? What else might we like to know? In this course we ask questions, look for patterns, make conjectures, and try to prove (or find counterexamples for) our observations. We explore the pure mathematical terrain that is graph theory, and pause for a few practical applications along the way. Topics include: subgraphs, isomorphic graphs, degrees of vertices, trees, vertex coloring, edge coloring, Hamilton cycles, Eulerian circuits, spanning trees, matchings, scheduling, and planar graphs.

Current topic description: An introduction to statistical methods used to analyze data in the natural and social sciences. It covers descriptive statistics, the binomial and normal distributions, expected value and variance, confidence intervals and hypothesis testing, comparison of two samples, regression, and analysis of variance. A required computer lab, using R, is taught alongside this course.

Quantitative Methods (QM)

Back to top

MATH B301 Real Analysis I

Fall 2025, Spring 2026

A first course in real analysis, providing a rigorous development of single variable calculus, with a strong focus on proof writing. Topics covered: the real number system, elements of set theory and topology, limits, continuous functions, the intermediate and extreme value theorems, differentiable functions and the mean value theorem, uniform continuity, the Riemann integral, the fundamental theorem of calculus. Possible additional topics include analysis on metric spaces or dynamical systems. Prerequisite: MATH 201 and MATH B206 or permission of instructor.

Writing Attentive

Back to top

MATH B302 Real Analysis II

Spring 2026

A continuation of Real Analysis I: Infinite series, power series, sequences and series of functions, pointwise and uniform convergence, and additional topics selected from: Fourier series, calculus of variations, the Lebesgue integral, dynamical systems, and calculus in higher dimensions. Prerequisite: MATH 301.

Back to top

MATH B303 Abstract Algebra I

Fall 2025

A first course in abstract algebra, including an introduction to groups, rings and fields, and their homomorphisms. Topics covered: cyclic and dihedral groups, the symmetric and alternating groups, direct products and finitely generated abelian groups, cosets, Lagrange's Theorem, normal subgroups and quotient groups, isomorphism theorems, integral domains, polynomial rings, ideals, quotient rings, prime and maximal ideals. Possible additional topics include group actions and the Sylow Theorems, free abelian groups, free groups, PIDs and UFDs. Prerequisite: MATH 203 and MATH B206 or permission from instructor.

Writing Attentive

Back to top

MATH B304 Abstract Algebra II

Spring 2026

A continuation of Abstract Algebra I. Vector spaces and linear algebra, field extensions, algebraic and transcendental extensions, finite fields, fields of fractions, field automorphisms, the isomorphism extension theorem, splitting fields, separable and inseparable extensions, algebraic closures, and Galois theory. Also, if not covered in Abstract Algebra I: group actions and Sylow theorems, free abelian groups, free groups, PIDs and UFDs. Possible additional topic: finitely generated modules over a PID and canonical forms of matrices. Prerequisite: MATH 303.

Back to top

MATH B308 Applied Mathematics I

Not offered 2025-26

This course will provide a general introduction to methods and modeling in applied mathematics. A variety of mathematical tools will be used to develop and study a wide range of models, including deterministic, discrete, and stochastic methods. Additional emphasis will be placed on techniques for analyzing mathematical models, including phase plane methods, stability analysis, dimensional analysis, bifurcation theory, and computer simulations. Applications to biology, physics, chemistry, engineering, and the social sciences may be discussed. Prerequisite: MATH B203 and MATH B206 and MATH B210 or permission of instructor.

Back to top

MATH B310 Mathematics of Financial Derivatives

Not offered 2025-26

An introduction to the mathematics utilized in the pricing models of derivative instruments. Topics to be covered may include Arbitrage Theorem, pricing derivatives, Wiener and Poisson processes, martingales and martingale representations, Ito's Lemma, Black-Scholes partial differentiation equation, Girsanov Theorem and Feynman-Kac Formula. Prerequisite: MATH 201 and MATH B206 or permission of instructor.

Back to top

MATH B312 Topology

Not offered 2025-26

General topology (topological spaces, continuity, compactness, connectedness, quotient spaces), the fundamental group and covering spaces, introduction to geometric topology (classification of surfaces, manifolds). Typically offered yearly in alternation with Haverford. Co-requisite: MATH 301, MATH 303, or permission of instructor.

Back to top

MATH B322 Functions of Complex Variables

Not offered 2025-26

Analytic functions, Cauchy's theorem, Laurent series, calculus of residues, conformal mappings, Moebius transformations. Prerequisite: MATH 301 or permission of instructor.

Back to top

MATH B325 Advanced Topics in Applied Mathematics

Section 001 (Fall 2025): Evolutionary Dynamics

Fall 2025

This topics course will focus on one advanced area in applied mathematics. Topics may include numerical linear algebra, applied partial differential equations, optimal control, parameter estimation and model fitting. Prerequisite: Math B203 or Math B210 and Math 206 or Math B301, or permission of instructor

Current topic description: Evolutionary dynamics is the mathematical study of evolutionary processes permeating every corner of biology. In this course, we will cover topics related to cooperation, altruism, opinion dynamics, infectious diseases, cancer, and ecological processes. We will introduce and study the mathematical and computational techniques needed to tackle such problems, including differential equations, stochastic processes, and network analysis.

Quantitative Readiness Required (QR)

Back to top

MATH B398 Senior Conference

A seminar for seniors majoring in mathematics. Topics vary from year to year.

Back to top

MATH B399 Senior Conference

A seminar for seniors majoring in mathematics. Topics vary from year to year.

Back to top

MATH B400 Senior Thesis

Independent research for senior thesis in Math

Back to top

MATH B403 Supervised Work

Back to top

MATH B501 Graduate Real Analysis I

Fall 2025, Spring 2026

In this course we will study the theory of measure and integration. Topics will include Lebesgue measure, measurable functions, the Lebesgue integral, the Riemann-Stieltjes integral, complex measures, differentiation of measures, product measures, and L^p spaces.

Back to top

MATH B502 Graduate Real Analysis II

Spring 2026

This course is a continuation of Math 501.

Back to top

MATH B503 Graduate Algebra I

Not offered 2025-26

This is the first course in a two course sequence providing a standard introduction to algebra at the graduate level. Topics in the first semester will include categories, groups, rings, modules, and linear algebra.

Back to top

MATH B504 Graduate Algebra II

Not offered 2025-26

This course is a continuation of Math 503, the two courses providing a standard introduction to algebra at the graduate level. Topics in the second semester will include linear algebra, fields, Galois theory, and advanced group theory. Prerequisite: MATH B503.

Back to top

MATH B512 General Topology

Not offered 2025-26

This course covers the basic notions of point set topology, with an introduction to algebraic and geometric topology. Topics covered include topological spaces, continuity, compactness, connectedness, quotient spaces, the fundamental group and covering spaces, and the classification of surfaces.

Back to top

MATH B522 Complex Analysis

Not offered 2025-26

This course covers the basic notions of complex analysis. Topics covered include analytic functions, Cauchy's theorem, the calculus of residues, conformal mappings, Riemann mapping theorem and Picard's little theorem.

Back to top

MATH B525 Algebraic Topology

Not offered 2025-26

This course covers the basic notions of algebraic topology. Topics covered include homology theory, cohomology theory, duality on manifolds, and an introduction to homotopy theory.

Back to top

MATH B530 Differential Topology

Not offered 2025-26

This course covers the basic notions of differential topology. Topics covered include smooth manifolds, smooth maps, differential forms, and integration on manifolds.

Back to top

MATH B701 Supervised Work

Fall 2025, Spring 2026

Back to top

MATH B702 Research Seminar

Fall 2025, Spring 2026

Back to top

CHEM B221 Physical Chemistry I

Fall 2025

Introduction to quantum theory and spectroscopy. Atomic and molecular structure; molecular modeling; rotational, vibrational, electronic and magnetic resonance spectroscopy. Lecture three hours. Prerequisites: CHEM B104 and MATH B201.

Quantitative Methods (QM)

Counts Toward: Biochemistry & Molecular Bio; Biochemistry Molecular Biology; Biochemistry Molecular Biology; Mathematics.

Back to top

CMSC B231 Discrete Mathematics

Fall 2025, Spring 2026

An introduction to discrete mathematics with strong applications to computer science. Topics include propositional logic, proof techniques, recursion, set theory, counting, probability theory and graph theory. Prerequisites: CMSC B113 or B109 or H105 or H107

Quantitative Methods (QM)

Counts Toward: Mathematics.

Back to top

CMSC B311 Computational Geometry

Not offered 2025-26

A study of algorithms and mathematical theories that focus on solving geometric problems in computing, which arise naturally from a variety of disciplines such as Computer Graphics, Computer Aided Geometric Design, Computer Vision, Robotics and Visualization. The materials covered sit at the intersection of pure Mathematics and application-driven Computer Science and efforts will be made to accommodate Math majors and Computer Science majors of varying math/computational backgrounds. Topics include: graph theory, triangulation, convex hulls, geometric structures such as Voronoi diagrams and Delaunay triangulations, as well as curves and polyhedra surface topology. Prerequisite: CMSC B151 or CMSC H106 or CMSC H107, and CMSC B231, or CMSC H231 or MATH B231 or MATH H231, or permission of instructor.

Quantitative Readiness Required (QR)

Counts Toward: Mathematics.

Back to top

CMSC B340 Analysis of Algorithms

Fall 2025, Spring 2026

This course will cover qualitative and quantitative analysis of algorithms and their corresponding data structures from a precise mathematical point of view. Topics include: performance bounds, asymptotic and probabilistic analysis, worst case and average case behavior and correctness and complexity. Particular classes of algorithms will be studied in detail. This course fulfills the writing requirement in the major. Prerequisites: CMSC B151, or CMSC H106 or CMSC H107, and CMSC B231, or CMSC H231 or MATH B231 or MATH H231 or permission of instructor.

Writing Intensive

Quantitative Readiness Required (QR)

Counts Toward: Mathematics.

Back to top

ECON B304 Econometrics

Not offered 2025-26

The econometric theory presented in ECON 253 is further developed and its most important empirical applications are considered. Each student does an empirical research project using multiple regression and other statistical techniques. Prerequisites:ECON B253 or ECON H203 or ECON H204 and ECON B200 or ECON B202 and MATH B201 or permission of instructor.

Counts Toward: Data Science; Mathematics.

Back to top

PHYS B205 Mathematical Methods in the Sciences I

Not offered 2025-26

This course is the first of two half-semester sessions which presents topics in applied mathematics useful to students in physics, engineering, physical chemistry, geology, and computer science. This first session will cover infinite series, complex variables, Fourier series, integral transforms, special functions, and ordinary differential equations. Lecture three hours and additional recitation sessions as needed. Prerequisite: MATH B102.

Course does not meet an Approach

Counts Toward: Mathematics.

Back to top

PHYS B207 Mathematical Methods in the Sciences II

Not offered 2025-26

This course is the second of two half-semester sessions which presents topics in applied mathematics useful to students in physics, engineering, physical chemistry, geology, and computer science. This second session covers advanced ordinary differential equations, partial differential equations, special functions, series solutions, and boundary-value problems. Lecture three hours and additional recitation sessions as needed. Prerequisite: PHYS B205, MATH B201 and MATH B203

Course does not meet an Approach

Counts Toward: Mathematics.

Back to top

PHYS B306 Mathematical Methods in the Physical Sciences

Fall 2025

This course presents topics in applied mathematics useful to students, including physicists, engineers, physical chemists, geologists, and computer scientists studying the natural sciences. Topics are taken from Fourier series, integral transforms, advanced ordinary and partial differential equations, special functions, boundary-value problems, functions of complex variables, and numerical methods. Lecture three hours and additional recitation sessions as needed. Prerequisite: MATH 201 and 203.

Counts Toward: Mathematics.

Back to top