Mathematics
Mathematics has always held a central position in the liberal arts, and over time, it has also come to play an important role in more and more aspects of our lives. Mathematical analysis and modeling are involved in many areas far beyond the traditional association of mathematics with the physical sciences and engineering. This fact is reflected in the diversity of the students who study at least some mathematics during their time at Washington University — students who recognize the importance of quantitative skills in a world that is becoming more and more technological.
Students major in mathematics for many reasons. Some are planning academic careers in mathematics that involve teaching or research. Others plan to work as actuaries or at other jobs in industry or government. Some plan careers in secondary education. Many majors do not intend to become "mathematicians" at all but simply realize that quantitative training is a valuable asset in many kinds of careers; often, work in mathematics is meant to complement their study in other areas. Other majors view mathematics as an interesting concentration in their liberal arts education, even though they plan to enter professional fields such as medicine or law.
The Mathematics program gives majors and minors a broad introduction to the subject. To fit students' varying academic interests and professional goals, the department offers majors in Mathematics, Applied Mathematics, and Mathematical Sciences, along with two joint majors in Mathematics and Computer Science and in Mathematics and Economics. Majors are encouraged to complete additional work (perhaps even a minor or a second major) in other related areas.
Contact Info
Phone: | 314-935-6301 |
Email: | mathadvising@wustl.edu |
Website: | http://math.wustl.edu |
Chair
John Shareshian
Professor
PhD, Rutgers University
Algebraic and topological combinatorics
Director of Graduate Studies
Gregory Knese
Professor
PhD, Washington University
Complex function theory; operators; harmonic analysis
Director of Undergraduate Studies
Ari Stern
Professor
PhD, California Institute of Technology
Geometric numerical analysis; computational mathematics
Associate Director of Undergraduate Studies
Blake Thornton
Teaching Professor
PhD, University of Utah
Geometric topology
Department Faculty
Roya Beheshti Zavareh
Professor
PhD, Massachusetts Institute of Technology
Algebraic geometry
Alan Chang
Assistant Professor
PhD, University of Chicago
Geometric measure theory; harmonic analysis
Quo-Shin Chi
Professor
PhD, Stanford University
Differential geometry
Lawrence Conlon
Emeriti Professor
PhD, Harvard University
Differential topology
Aliakbar Daemi
Assistant Professor
PhD, Harvard University
Gauge theory; low-dimensional topology; symplectic geometry
Laura Escobar Vega
Associate Professor
PhD, Cornell University
Combinatorics; algebraic geometry
Renato Feres
Professor
PhD, California Institute of Technology
Differential geometry; dynamical systems
Steven Frankel
Associate Professor
PhD, University of Cambridge
Geometric topology; dynamics
Ron Freiwald
Emeriti Professor
PhD, University of Rochester
General topology
Andrew Walton Green
William Chauvenet Postdoctoral Lecturer
PhD, Clemson University
Harmonic analysis; partial differential equations
Gary R. Jensen
Emeriti Professor
PhD, University of California, Berkeley
Differential geometry
Silas Johnson
Senior Lecturer
PhD, University of Wisconsin–Madison
Algebraic number theory; arithmetic statistics
Matt Kerr
Professor
PhD, Princeton University
Algebraic geometry; Hodge theory
Steven G. Krantz
Professor
PhD, Princeton University
Several complex variables; geometric analysis
N. Mohan Kumar
Emeriti Professor
PhD, Bombay University
Algebraic geometry; commutative algebra
Wanlin Li
Assistant Professor
PhD, University of Wisconsin–Madison
Number theory; arithmetic geometry
Henri Martikainen
Associate Professor
PhD, University of Helsinki, Finland
Harmonic analysis; geometric measure theory
John E. McCarth
Spencer T. Olin Professor of Mathematics
PhD, University of California, Berkeley
Analysis; operator theory; one and several complex variables
Minh Nguyen
Postdoctoral Lecturer
PhD, University of Arkansas
Gauge theory; low dimensional topology
Charles Ouyang
Assistant Professor
PhD, Rice University
(Higher) Teichmuller theory; Riemann surfaces; harmonic maps and minimal surfaces
Martha Precup
Associate Professor
PhD, University of Notre Dame
Applications of Lie theory to algebraic geometry and the related combinatorics
Donsub Rim
Assistant Professor
PhD, University of Washington
Applied mathematics
Rachel Roberts
Elinor Anheuser Professor of Mathematics
PhD, Cornell University
Low-dimensional topology
Richard Rochberg
Emeriti Professor
PhD, Harvard University
Complex analysis; interpolation theory
Angel Roman
Postdoctoral Lecturer
PhD, Pennsylvania State University
Representation theory; operator algebras
Jesus Sanchez
Postdoctoral Lecturer
PhD, Pennsylvania State University
Noncommutative index theory; cyclic cohomology; spin Riemannian geometry; high-dimensional gauge theory
Karl Schaefer
Lecturer
PhD, University of Chicago
Algebraic number theory
Jack Shapiro
Emeriti Professor
PhD, City University of New York
Algebraic K-theory
Edward Spitznagel
Emeriti Professor
PhD, University of Chicago
Statistics; statistical computation; application of statistics to medicine
Yanli Song
Associate Professor
PhD, Pennsylvania State University
Noncommutative geometry; symplectic geometry; representation theory
Xiang Tang
Professor
PhD, University of California, Berkeley
Symplectic geometry; noncommutative geometry; mathematical physics
Joel Villatoro
Postdoctoral Lecturer
PhD, University of Illinois at Urbana-Champaign
Differential geometry; Poisson geometry; singular spaces
Brett Wick
Professor
PhD, Brown University
Complex analysis; harmonic analysis; operator theory; several complex variables
Mladen Victor Wickerhauser
Professor
PhD, Yale University
Harmonic analysis; wavelets; numerical algorithms for data compression
Edward N. Wilson
Emeriti Professor
PhD, Washington University
Harmonic analysis; differential geometry
David Wright
Emeriti Professor
PhD, Columbia University
Affine algebraic geometry; polynomial automorphisms
Jay Yang
Postdoctoral Lecturer
PhD, University of Wisconsin–Madison
Commutative algebra; algebraic geometry
Visit online course listings to view semester offerings for L24 Math.
L24 Math 100 Foundations for Calculus
A limited enrollment class for students planning to take calculus but who need additional precalculus preparation. The course aims to build both the technical skills and the conceptual understanding needed to succeed in calculus. Course emphasizes links between the graphical, numeric, and algebraic viewpoints. A variety of approaches are used to present the material. Prerequisites: 2 years of high school algebra and a course in geometry (or the equivalent).
Credit 3 units. A&S IQ: NSM
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L24 Math 109 Mathematics and Music
An elementary introduction to the connections between mathematics and musical sound. Review of integers, ratios, prime numbers, functions, rationality, exponents, logarithms, trigonometry. Review of scales, clefs, key signatures, intervals, time signatures. Frequency and pitch. The connection between intervals and logarithms. Tuning and temperament, just intonation. Scales and modular arithmetic. The mathematics of harmony; the sound of the low prime numbers and their roles in harmony. Harmonics, partials and overtones. Numerical integration and basic Fourier analysis. The nature of complex tones. Analysis of instrument sounds. Human vowels and formants. Prerequisites: 2 years of high school algebra, and trigonometry.
Credit 3 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 131 Calculus I
Derivatives of algebraic, trigonometric, and transcendental functions, techniques of differentiation, Mean Value Theorem, applications of the derivative. The definite integral and Fundamental Theorem of Calculus. Areas. Simpler integration techniques. Prerequisites: high school algebra and precalculus, including trigonometry.
Credit 3 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 131E Calculus I Extended
Math 131E covers the same content as Math 131 but includes the additional review of precalculus concepts integrated throughout the semester. It is aimed at students whose precalculus skills are not yet fully developed. By the end of this course, students should be ready to enroll in Math 132.
Credit 4 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 132 Calculus II
Continuation of Math 131. A brief review of the definite integral and Fundamental Theorem of Calculus. Techniques of integration, applications of the integral, sequences and series, Taylor polynomials and series, and some material on differential equations. Prerequisite: Math 131 or a B or better in a one-year high school calculus course, or permission of the department.
Credit 3 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 203 Honors Mathematics I
This is the first half of a one-year calculus sequence for first year student with a strong interest in mathematics with an emphasis on rigor and proofs. The course begins at the beginning but assumes the students have already studied the material from a more "mechanical" view. Students who complete both semesters will have complete the material Calc III and other topics that may let them move through the upper level math curriculum more quickly. Sets, functions, real numbers, and methods of proof. The Riemann-Darboux integral, limits and continuity, differentiation, and the fundamental theorems of calculus. Sequences and series of real numbers and of functions. Vector spaces and linear maps. Prerequisite: Score of 5 on the A.P Calculus Exam, BC version, or the equivalent.
Credit 4 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 204 Honors Mathematics II
Matrices, linear systems, and determinants. Eigenvalues and eigenvectors, diagonalization, and the spectral theorem. Scalar and vector fields, differential and integral calculus of several variables, and the fundamental theorems of Green, Gauss, and Stokes. Restricted to first year students who have completed Math 203 in the fall semester. Math 204 can replace Math 233 in major/minor requirements.
Credit 4 units. A&S IQ: NSM, AN Art: NSM
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L24 Math 217 Differential Equations
Introduction to ordinary differential equations: first-order equations, linear equations, systems of equations, series solutions, Laplace transform methods, numerical solutions. Prerequisite: Math 233 (or Math 233 concurrently).
Credit 3 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 220 Finite Mathematics
Topics from discrete mathematics will be explored with an emphasis on problem-solving and methods of proofs. Modules on counting; combinatorial tools; binomial coefficients and Pascal's triangle; Fibonacci numbers; combinatorial probability; integers, divisors and primes; and graphs will be covered as well as additional topics as time permits. Addressed mainly to college freshmen and sophomores; it would also be suitable to advanced high school students with an interest in mathematics. Prerequisites: A good understanding of high school mathematics.
Credit 3 units. A&S IQ: NSM, AN Art: NSM
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L24 Math 233 Calculus III
Multivariable calculus. Topics include differential and integral calculus of functions of two or three variables: vectors and curves in space, partial derivatives, multiple integrals, line integrals, vector calculus at least through Green's Theorem. Prereq: Math 132, or a score of 4-5 on the Advanced Placement Calculus Exam (BC version).
Credit 3 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 308 Mathematics for the Physical Sciences
Continuation of Math 233 emphasizing topics of interest in the physical sciences. Topics in multivariable and vector calculus (div, grad, curl); line, surface integrals and connections to electromagnetism; Fourier series and integrals; boundary value problems (diffusion and wave equations); additional topics if time permits. Students may not receive credit toward a math major or minor for both Math 308 and Math 318. Prerequisite: Math 233 and 217, or permission of instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM BU: SCI
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L24 Math 309 Matrix Algebra
An introductory course in linear algebra that focuses on Euclidean n-space, matrices and related computations. Topics include: systems of linear equations, row reduction, matrix operations, determinants, linear independence, dimension, rank, change of basis, diagonalization, eigenvalues, eigenvectors, orthogonality, symmetric matrices, least square approximation, quadratic forms. Introduction to abstract vector spaces. Prerequisite: Math 132.
Credit 3 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 310 Foundations for Higher Mathematics
Introduction to the rigorous techniques used in more advanced mathematics. Topics include propositional logic, use of quantifiers, set theory, methods of proof and disproof (counterexamples), foundations of mathematics. Use of these tools in the construction of number systems, and in other areas such as elementary number theory, combinatorial arguments, and elementary proofs in analysis. Prerequisite: Math 233.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 310W Foundations For Higher Mathematics With Writing
Introduction to the rigorous techniques used in more advanced mathematics. Topics include basic logic, set theory, methods of proof and counterexamples, foundations of mathematics, construction of number systems, counting methods, combinatorial arguments and elementary analysis. At least 3 papers will be required, which with at least one revision. Prerequisite: Math 233.
Credit 3 units. A&S IQ: NSM, WI Art: NSM
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L24 Math 312 Differential Equations and Dynamical Systems
Qualitative theory of ordinary differential equations. Picard's existence and uniqueness theorem, the phase plane, Poincare-Bendixon theory, stationary points, attractors and repellors, graphical methods. Physical applications, including chaos, are indicated. Prerequisite: Math 217.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 318 Introduction to Calculus of Several Variables
Selected topics for functions of several variables involving some matrix algebra and presented at a level of rigor intermediate between that of Calculus III and higher level analysis courses. Students may not receive credit toward a mathematics major or minor for both Math 308 and 318. Prerequisites: Math 233 and Math 309. Math 310 is recommended but not required.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 331 Algebraic Systems
Polynomials, binomial expansions, factoring, rings (integers and polynomials), unique factorization, and other topics relevant to the high school curriculum. Designed for future secondary school teachers and other students looking for a course in algebra at a less abstract level than Math 430. Prerequisite: Math 310 or permission of instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 350 Topics in Applied Mathematics
Topics change with each offering of the course. Past topics have included "Mathematics and Multimedia," "The Mathematics and Chemistry of Reaction-Diffusion Systems", "Mathematical Biology," and "Simulation Analysis of Random Processes" and "Intrrduction to Monte Carlo Methods." Prerequisites will vary, but always include at least Math 233, Math 309 and basic programming skills in some language.
Credit 3 units. A&S IQ: NSM Art: NSM
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L24 Math 370 Introduction to Combinatorics
Basics of enumeration (combinations, permutations and enumeration of functions between finite sets), generating functions; the inclusion-exclusion principle, partition theory and introductory graph theory. As time permits, additional topics may include Ramsey's Theorem, probabilistic methods in combinatorics and algebraic methods in combinatorics. Prerequisites: Math 132, 309 and 310, or permission of the instructor.
Credit 3 units. A&S IQ: NSM, AN Arch: NSM Art: NSM
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L24 Math 371 Graph Theory
Introduction to graph theory including the basic definitions and theorems and some more advanced topics which drive much current research in graph theory: Ramsey's Theorem, random graph theory and, if time permits, Szemeredi's regularity lemma. Graphs will be studied as abstract objects; however graph theory is also of interest to applied mathematicians because graphs are natural models for networks (social, electric,...). Prerequisite: Math 310 or a roughly equivalent course, or permission of instructor. Students should know what a proof is and how to produce one. Some informal understanding of probability will be helpful, but students need not have taken a probability course.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 407 An Introduction to Differential Geometry
A study of properties of curves and surfaces in 3-dimensional Euclidean space. The course is essentially a modern recounting of a seminal paper of Gauss. Prerequisites: Math 233, Math 309, Math 310.
Credit 3 units. A&S IQ: NSM
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L24 Math 410 Introduction to Fourier Series and Integrals
The basic theory of Fourier series and Fourier integrals including different types of convergence. Applications to certain differential equations. Prerequisites: Math 4111 or permission of instructor.
Credit 3 units. A&S IQ: NSM
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L24 Math 4111 Introduction to Analysis
The real number system and the least upper bound property; metric spaces (completeness, compactness, and connectedness); continuous functions (in R^n; on compact spaces; on connected spaces); C(X) (pointwise and uniform convergence; Weierstrass approximation theorem); differentiation (mean value theorem; Taylor's theorem); the contraction mapping theorem; the inverse and implicit function theorems. Prerequisite: Math 310 or permission of instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 4121 Introduction to Lebesgue Integration
Riemann integration; measurable functions; measures; Lebesgue measure; the Lebesgue integral; integrable functions; L^p spaces; modes of convergence; decomposition of measures; product measures. Prerequisite: Math 4111 or permission of the instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 415 Partial Differential Equations
Introduction to the theory of PDE's with applications to selected classical problems in physics and engineering. Linear and quasilinear first order equations, derivation of some of the classical PDE's of physics, and standard solution techniques for boundary and initial value problems. Preliminary topics such as orthogonal functions, Fourier series, and variational methods introduced as needed. Prerequisites: Math 217 or 312, Math 309, and Math 310, or permission of instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 416 Complex Variables
Analytic functions, elementary functions and their properties, line integrals, the Cauchy integral formula, power series, residues, poles, conformal mapping and applications. Prereq: Math 310 and (Math 318 or Math 4111), or permission of instructor.
Credit 3 units. A&S IQ: NSM Art: NSM
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L24 Math 4171 Topology I
An introduction to the most important ideas of topology. Course includes necessary ideas from set theory, topological spaces, subspaces, products and quotients, compactness and connectedness. Some time is also devoted to the particular case of metric spaces (including topics such as separability, completeness, completions, the Baire Caregory Theorem, and equivalents of compactness in metric spaces). Prerequisite: Math 4111 or permission of instructor.
Credit 3 units. A&S IQ: NSM Art: NSM
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L24 Math 4181 Topology II
A continuation of Math 4171 featuring more advanced topics in topology. The content may with each offering. Prerequisite: Math 4171, or permission of instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 429 Linear Algebra
This course is an introduction to the linear algebra of finite-dimensional vector spaces. It includes systems of equations, matrices, determinants, inner product spaces, and spectral theory. Prerequisite: Math 310 or permission of instructor. Math 309 is not an explicit prerequisite, but students should already be familiar with such basic topics from matrix theory as matrix operations, linear systems, row reduction, and Gaussian elimination. (Material on these topics in early chapters of the text will be covered very quickly.)
Credit 3 units. A&S IQ: NSM Art: NSM
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L24 Math 430 Modern Algebra
Introduction to groups, rings, and fields. Includes permutation groups, group and ring homomorphisms, field extensions, connections with linear algebra. Prerequisite: Math 310, Math 429 or permission of the instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 4351 Number Theory and Cryptography
The course will cover many of the basics of elementary number theory, providing a base from which to approach modern algebra, algebraic number theory and analytic number theory. It will also introduce one of the most important real-world applications of mathematics, namely the use of number theory and algebraic geometry in public key cryptography. Topics from number theory involve divisibility (Euclidean algorithm, primes, Fundamental Theorem of Arithmetic), congruences (modular arithmetic, Chinese Remainder Theorem, primality testing and factorization). Topics from cryptography will include RSA encryption, Diffie-Hellman key exchange and elliptic curve cryptography. Topics about algebraic numbers may be include if time permits. Prerequisites: Math 233, 309 and 310 (or permission of instructor)
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 436 Algebraic Geometry
Introduction to affine and projective algebraic varieties, the Zariski topology, regular and rational mappings, simple and singular points, divisors and differential forms, genus, the Riemann-Roch theorem. Prerequisites: Math 310, 429, and 430, or permission of the instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 444 The Mathematics of Quantum Theory
An introduction to the mathematical foundations of quantum theory aimed at advanced undergraduate/beginning graduate students in Mathematics and Engineering, although students from other disciplines are equally welcome to attend. Topics include: the mathematical postulates of quantum theory and simple physical systems, spectral theory of self-adjoint operators, rudiments of Lie groups, Lie algebras and unitary group representations, elements of quantum probability and quantum information theory. Prerequisites: Linear algebra at the level of Math 429 or equivalent, multivariate calculus at the level of Math 318, and basic probability theory at the undergraduate level such as Math 493 or instructor's permission.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 449 Numerical Applied Mathematics
Computer arithmetic, error propagation, condition number and stability; mathematical modeling, approximation and convergence; roots of functions; calculus of finite differences; implicit and explicit methods for initial value and boundary value problems; numerical integration; numerical solution of linear systems, matrix equations, and eigensystems; Fourier transforms; optimization. Various software packages may be introduced and used. Prerequisites: Math 217 or 312, Math 309, Math 310 and CSE 131 (or other computer background with permission of the instructor).
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 450 Topics in Applied Mathematics
Topic may vary with each offering of the course. Prerequisite: CSE 131 and, Math 449, or permission of the instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 456 Topics in Financial Mathematics
An introduction to the principles and methods of financial mathematics, with a focus on discrete-time stochastic models. Topics include no-arbitrage pricing of financial derivatives, risk-neutral probability measures, the Cox-Ross-Rubenstein and Black-Scholes-Merton options pricing models, and implied volatility. Prerequisites: Math 233, Math 3200, Math 310 or permission of instructor.
Credit 3 units. A&S IQ: NSM Arch: NSM Art: NSM
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L24 Math 493C Probability
Mathematical theory and application of probability at the advanced undergraduate level; a calculus based introduction to probability theory. Topics include the computational basics of probability theory, combinatorial methods, conditional probability including Bayes' theorem, random variables and distributions, expectations and moments, the classical distributions, and the central limit theorem. permission of the instructor. Prerequisites: Math/SDS 3200 and Math 233.
Same as L87 SDS 493
Credit 3 units. A&S IQ: NSM Art: NSM
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L24 Math 495C Stochastic Processes
Content varies with each offering of the course. Past offerings have included such topics as random walks, Markov chains, Gaussian processes, empirical processes, Markov jump processes, and a short introduction to martingales, Brownian motion and stochastic integrals. Prerequisites: Math 309; Math/SDS 493 or Math/SDS 3211.
Same as L87 SDS 495
Credit 3 units. A&S IQ: NSM Art: NSM
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