Course Schedule

Spring 2018

APC 199/MAT 199 Math Alive Mathematics has profoundly changed our world, from the way we communicate with each other and listen to music, to banking and computers. This course is designed for those without college mathematics who want to understand the mathematical concepts behind important modern applications. The course consists of individual modules, each focusing on a particular application (e.g., digital music, sending secure emails, and using statistics to explain, or hide, facts). The emphasis is on ideas, not on sophisticated mathematical techniques, but there will be substantial problem-set requirements. Students will learn by doing simple examples. Instructor(s): Ian Michael Griffiths, Adam Wade Marcus
Schedule
C01 T Th 11:00 AM - 12:20 PM
APC 350/CEE 350/MAT 322 Introduction to Differential Equations This course will introduce the basic theory, models and techniques for ordinary and partial differential equations. Emphasis will be placed on the connection with other disciplines of science and engineering. We will try to strike a balance between the theoretical (e.g. existence and uniqueness issues, qualitative properties) and the more practical issues such as analytical and numerical approximations. Instructor(s): Tristan J. Buckmaster
Schedule
L01 M W 01:30 PM - 02:50 PM
COS 433/MAT 473 Cryptography An introduction to the theory and practice of modern cryptography, with an emphasis on the fundamental ideas. Topics covered include private key and public key encryption schemes, digital signatures, pseudorandom generators and functions, chosen ciphertext security, and some advanced topics. Instructor(s): Mark Landry Zhandry
Schedule
L01 M W 01:30 PM - 02:50 PM
MAE 305/MAT 391/EGR 305/CBE 305 Mathematics in Engineering I A treatment of the theory and applications of ordinary differential equations with an introduction to partial differential equations. The objective is to provide the student with an ability to solve problems in this field. Instructor(s): Stanislav Yefimovic Shvartsman
Schedule
L01 M W F 11:00 AM - 11:50 AM
P01 T 02:30 PM - 03:20 PM
P02 T 03:30 PM - 04:20 PM
P03 T 07:30 PM - 08:20 PM
P04 W 01:30 PM - 02:20 PM
P05 W 07:30 PM - 08:20 PM
P06 Th 02:30 PM - 03:20 PM
P07 Th 03:30 PM - 04:20 PM
P08 Th 07:30 PM - 08:20 PM
MAE 306/MAT 392 Mathematics in Engineering II This course covers a range of fundamental mathematical techniques and methods that can be employed to solve problems in contemporary engineering and the applied sciences. Topics include algebraic equations, vectors and tensors, numerical integration, analytical and numerical solution of ordinary and partial differential equations, time-series data and the Fourier transform, and calculus of variations. The course synthesizes descriptive observations, mathematical theories, numerical methods, and engineering consequences. Instructor(s): Mikko Petteri Haataja
Schedule
L01 T Th 03:00 PM - 04:20 PM
P01 W 07:30 PM - 08:50 PM
MAT 103 Calculus I First semester of calculus. Topics include limits, continuity, the derivative, basic differentiation formulas and applications (curve-sketching, optimization, related rates), definite and indefinite integrals, the fundamental theorem of calculus. Instructor(s): Tatiana Katarzyna Howard, Jennifer Michelle Johnson
Schedule
C01 M W F 10:00 AM - 10:50 AM
C02 M W F 11:00 AM - 11:50 AM
C02A M W F 11:00 AM - 11:50 AM
C03 M W F 12:30 PM - 01:20 PM
MAT 104 Calculus II Continuation of MAT103. Topics include techniques of integration, arclength, area, volume, convergence of series and improper integrals, L'Hopital's rule, power series and Taylor's theorem, introduction to differential equations and complex numbers. Instructor(s): Jonathan Hanselman, Chun-Hung Liu, Stephen Edward McKeown, Yakov Mordechai Shlapentokh-Rothman
Schedule
C01 M W F 09:00 AM - 09:50 AM
C02 M W F 10:00 AM - 10:50 AM
C03 M W F 11:00 AM - 11:50 AM
C03A M W F 11:00 AM - 11:50 AM
C04 M W F 12:30 PM - 01:20 PM
C04A M W F 12:30 PM - 01:20 PM
MAT 175 Mathematics for Economics/Life Sciences Survey of topics from multivariable calculus as preparation for future course work in economics or life sciences. Topics include basic techniques of integration, average value, vectors, partial derivatives, gradient, optimization of multivariable functions, and constrained optimization with Lagrange multipliers. Instructor(s): Greg Gauthier, Jennifer Michelle Johnson, Yueh-Ju Lin
Schedule
C01 M W F 10:00 AM - 10:50 AM
C02 M W F 11:00 AM - 11:50 AM
C03 M W F 12:30 PM - 01:20 PM
MAT 201 Multivariable Calculus Vectors in the plane and in space, vector functions and motion, surfaces, coordinate systems, functions of two or three variables and their derivatives, maxima and minima and applications, double and triple integrals, vector fields and Stokes's theorem. Instructor(s): Mihaela I. Ignatova, Daniel J. Ketover, Rafael Montezuma Pinheiro Cabral, Fabio Giuseppe Pusateri
Schedule
C01 M W F 09:00 AM - 09:50 AM
C02 M W F 10:00 AM - 10:50 AM
C03 M W F 11:00 AM - 11:50 AM
C03A M W F 11:00 AM - 11:50 AM
C04 M W F 12:30 PM - 01:20 PM
MAT 202 Linear Algebra with Applications Companion course to MAT201. Matrices, linear transformations, linear independence and dimension, bases and coordinates, determinants, orthogonal projection, least squares, eigenvectors and their applications to quadratic forms and dynamical systems. Instructor(s): Francesc Castella, Ziyang Gao, Francesco Lin, Mark Weaver McConnell, Ana Menezes, Oanh Thi Hoang Nguyen, Joe Allen Waldron, Guangbo Xu
Schedule
C01 M W F 09:00 AM - 09:50 AM
C01A M W F 09:00 AM - 09:50 AM
C02 M W F 10:00 AM - 10:50 AM
C03 M W F 11:00 AM - 11:50 AM
C04 M W F 12:30 PM - 01:20 PM
MAT 204 Advanced Linear Algebra with Applications Companion course to MAT203. Linear systems of equations, linear independence and dimension, linear transforms, determinants, (real and complex) eigenvectors and eigenvalues, orthogonality, spectral theorem, singular value decomposition, Jordan forms, other topics as time permits. More abstract than MAT202 but more concrete than MAT217. Recommended for prospective physics majors and others with a strong interest in applied mathematics. Prerequisite: MAT104 or MAT215 or equivalent. Instructor(s): Nir Sharon, Christine Jiayou Taylor
Schedule
L01 M W F 11:00 AM - 11:50 AM
L02 M W F 12:30 PM - 01:20 PM
P01 Th 07:30 PM - 08:20 PM
MAT 215 Honors Analysis (Single Variable) An introduction to the mathematicsal discipline of analysis, to prepare for higher-level course work in the department. Topics include rigorous epsilon-delta treatment of limits, convergence, and uniform convergence of sequences and series. Continuity, uniform continuity, and differentiability of functions. The Heine-Borel Theorem. The Rieman integral, conditions for integrability of functions and term by term differentiation and integration of series of functions, Taylor's Theorem. Instructor(s): Evita Nestoridi
Schedule
C01 T Th 11:00 AM - 12:20 PM
MAT 217 Honors Linear Algebra A rigorous course in linear algebra with an emphasis on proof rather than applications. Topics include vector spaces, linear transformations, inner product spaces, determinants, eigenvalues, the Cayley-Hamilton theorem, Jordan form, the spectral theorem for normal transformations, bilinear and quadratic forms. Instructor(s): Mark Weaver McConnell, Yunqing Tang
Schedule
C01 T Th 11:00 AM - 12:20 PM
C02 T Th 01:30 PM - 02:50 PM
MAT 218 Accelerated Honors Analysis II Continuation of the rigorous introduction to analysis in MAT216 Instructor(s): Robert Clifford Gunning, Vlad Cristian Vicol
Schedule
C01 T Th 01:30 PM - 02:50 PM
C02 T Th 03:00 PM - 04:20 PM
MAT 323/APC 323 Topics in Mathematical Modeling: Mathematical Neuroscience Draws problems from the sciences & engineering for which mathematical models have been developed and analyzed to describe, understand and predict natural and man-made phenomena. Emphasizes model building strategies, analytical and computational methods, and how scientific problems motivate new mathematics.
Schedule
C01 T Th 01:30 PM - 02:50 PM
MAT 325 Analysis I: Fourier Series and Partial Differential Equations Basic facts about Fourier Series, Fourier Transformations, and applications to the classical partial differential equations will be covered. Also Finite Fourier Series, Dirichlet Characters, and applications to properties of primes. Instructor(s): Alexandru D. Ionescu
Schedule
L01 T Th 01:30 PM - 02:50 PM
P01 F 01:30 PM - 02:20 PM
MAT 330 Complex Analysis with Applications The theory of functions of one complex variable, covering analyticity, contour integration, residues, power series expansions, and conformal mapping. The goal in the course is to give adequate treatment of the basic theory and also demonstrate the use of complex analysis as a tool for solving problems. Instructor(s): Michael Aizenman
Schedule
C01 M W F 11:00 AM - 11:50 AM
MAT 346 Algebra II Local Fields and the Galois theory of Local Fields. Instructor(s): Nicholas Michael Katz
Schedule
L01 T Th 03:00 PM - 04:20 PM
MAT 355 Introduction to Differential Geometry Introduction to geometry of surfaces. Surfaces in Euclidean space, second fundamental form, minimal surfaces, geodescis, Gauss curvature, Gauss-Bonnet formula. Then differential forms and the higher-dimensional Gauss-Bonnet, as time permits. Instructor(s): Fernando Codá Marques
Schedule
C01 M W 11:00 AM - 12:20 PM
MAT 375/COS 342 Introduction to Graph Theory The fundamental theorems and algorithms of graph theory. Topics include: connectivity, matchings, graph coloring, planarity, the four-color theorem, extremal problems, network flows, and related algorithms. Instructor(s): Maria Chudnovsky
Schedule
C01 T Th 11:00 AM - 12:20 PM
MAT 378 Theory of Games Games in extensive form, pure and behavioral strategies; normal form, mixed strategies, equilibrium points; coalitions, characteristic-function form, imputations, solution concepts; related topics and applications. Instructor(s): Jonathan Michael Fickenscher
Schedule
C01 M W F 10:00 AM - 10:50 AM
MAT 385 Probability Theory Sequence of independent trials, applications to number theory and analysis, Monte Carlo method. Markov chains, ergodic theorem for Markov chains. Entropy and McMillan theorem. Random walks, recurrence and non-recurrence; connection with the linear difference equations. Strong laws of large numbers, random series and products. Weak convergence of probability measures, weak Helly theorems, Fourier transforms of distributions. Limit theorems of probability theory. Instructor(s): Yakov G. Sinai
Schedule
C01 M W 01:30 PM - 02:50 PM
MAT 447 Commutative Algebra This course will cover the standard material in a first course on commutative algebra. Topics include: ideals in and modules over commutative rings, localization, primary decomposition, integral dependence, Noetherian rings and chain conditions, discrete valuation rings and Dedekind domains, completion; and dimension theory. Instructor(s): Hansheng Diao
Schedule
L01 M W 01:30 PM - 02:50 PM
P99 01:00 AM - 01:00 AM
MAT 486 Random Processes Wiener measure. Stochastic differential equations. Markov diffusion processes. Linear theory of stationary processes. Ergodicity, mixing, central limit theorem for stationary processes. If time permits, the theory of products of random matrices and PDE with random coefficients will be discussed. Instructor(s): Yakov G. Sinai
Schedule
C01 M W 01:30 PM - 02:50 PM
ORF 309/EGR 309/MAT 380 Probability and Stochastic Systems An introduction to probability and its applications. Topics include: basic principles of probability; Lifetimes and reliability, Poisson processes; random walks; Brownian motion; branching processes; Markov chains Instructor(s): Miklos Z. Racz
Schedule
L01 M W F 11:00 AM - 11:50 AM
P01 M 07:30 PM - 08:20 PM
P02 T 07:30 PM - 08:20 PM
P03 M 03:30 PM - 04:20 PM
P04 T 03:30 PM - 04:20 PM