Elective Courses in Liberal Arts & Sciences
Data Science (Undergraduate)
4 credits – 14 Weeks
This module provides a rigorous introduction to topics in digital logic design. Introductory topics include: classification of digital systems, number systems and binary arithmetic, error detection and correction, and switching algebra. Combinational design analysis and synthesis topics include: logic function optimization, arithmetic units such as adders and subtractors, and control units such as decoders and multiplexers. In-depth discussions on memory elements such as various types of latches and flip-flops, finite state machine analysis and design, random access memories, FPGAs, and high-level hardware description language programming such as VHDL or Verilog. Timing hazards, both static and dynamic, programmable logic devices, PLA, PAL and FPGA will also be covered. Prerequisite: Intro to Programming or Intro to Computer Science or placement test or interaction lab. Fulfillment: Core Curriculum: Science Experimental Discovery in the Natural World Courses ; Major: CS Electives, CE Required, EE Required.
Computer Engineering (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Critical discussion of alternative philosophical views as to what mathematics is, such as Platonism, empiricism, constructivism, intuitionism, formalism, logicism, and various combinations thereof.
Philosophy (Undergraduate)
4 credits – 15 Weeks
PHIL-UA 98-000 (7559)01/21/2025 – 05/06/2025 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Walsh, James
PHIL-UA 98-000 (7561)01/21/2025 – 05/06/2025 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Qu, Jiarui
PHIL-UA 98-000 (7563)01/21/2025 – 05/06/2025 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Qu, Jiarui
Topics and prerequisites vary by semester
Data Science (Undergraduate)
4 credits – 14 Weeks
DS-UA 300-000 (22034)09/03/2024 – 12/12/2024 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at OnlineInstructed by Sah, Sidharth
DS-UA 300-000 (22053)09/03/2024 – 12/12/2024 Fri11:00 AM – 12:00 AM (Morning)at OnlineInstructed by Atalik, Arda
DS-UA 300-000 (22081)09/03/2024 – 12/12/2024 Fri3:00 PM – 4:00 PM (Late afternoon)at OnlineInstructed by Patil, Gautam
This course examines modern statistical methods as a basis for decision making in the face of uncertainty. Topics include probability theory, discrete and continuous distributions, hypothesis testing, estimation, and statistical quality control. With the aid of computers, these statistical methods are used to analyze data.
Statistics & Operations Research (Undergraduate)
4 credits – 15 Weeks
This course examines modern statistical methods as a basis for decision making in the face of uncertainty. Topics include probability theory, discrete and continuous distributions, hypothesis testing, estimation, and statistical quality control. With the aid of computers, these statistical methods are used to analyze data. Also presented are an introduction to statistical models and their application to decision making. Topics include the simple linear regression model, inference in regression analysis, sensitivity analysis, and multiple regression analysis.
Statistics & Operations Research (Undergraduate)
6 credits – 15 Weeks
STAT-UB 103-000 (2538)01/22/2024 – 05/06/2024 Mon,Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Giloni, Avi.
STAT-UB 103-000 (2539)01/22/2024 – 05/06/2024 Mon,Wed,Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Duan, Yaqi
STAT-UB 103-000 (2540)01/22/2024 – 05/06/2024 Mon,Wed,Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Chen, Elynn
STAT-UB 103-000 (2541)01/22/2024 – 05/06/2024 Tue,Thu,Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Kovtun, Vladimir
STAT-UB 103-000 (2542)01/22/2024 – 05/06/2024 Tue,Thu,Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Turetsky, Jason
STAT-UB 103-000 (2995)01/22/2024 – 05/06/2024 Tue,Thu,Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Turetsky, Jason
Covers the basic concepts of probability. Topics include the axiomatic definition of probability; combinatorial theorems; conditional probability and independent events; random variables and probability distributions; expectation of functions of random variables; special discrete and continuous distributions, including the chi-square, t, F, and bivariate normal distributions; law of large numbers; central limit theorem; and moment generating functions. The theory of statistical estimation is introduced with a discussion on maximum likelihood estimation.
Statistics & Operations Research (Undergraduate)
3 credits – 14 Weeks
STAT-UB 14-000 (20243)09/05/2023 – 12/15/2023 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Tenenbein, Aaron
Mathematics Education (Undergraduate)
4 credits – 15 Weeks
This course introduces object-oriented programming, recursion, and other important programming concepts to students who already have had some exposure to programming in the context of building applications using Python. Students will design and implement Python programs in a variety of applied areas.
Computer Science (Undergraduate)
4 credits – 15 Weeks
CSCI-UA 3-000 (9289)09/01/2022 – 12/14/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Arias Hernandez, Mauricio
An introduction to the fundamentals of computer programming. Students design, write, and debug computer programs. No prior knowledge of programming is assumed. Students will learn programming using Python, a general purpose, cross-platform programming language with a clear, readable syntax. Most class periods will be part lecture, part lab as you explore ideas and put them into practice. This course is suitable for students not intending in majoring in computer science as well as for students intending to major in computer science but having no programming experience. Students with previous programming experience should instead take Introduction to Computer Science. Prerequisite: Either placed into Calculus or at least a C in Pre-Calculus Fulfillment: Core Curriculum Requirement Algorithmic Thinking; EE Required Major Courses. Note: Students who have taken ICS in NY, Abu Dhabi, and Shanghai cannot take ICP.
Computer Science (Undergraduate)
4 credits – 14 Weeks
CSCI-SHU 11-000 (17503)02/07/2022 – 05/13/2022 Mon8:00 AM – 10:00 AM (Morning)at ShanghaiInstructed by Simon, Daniel
CSCI-SHU 11-000 (17504)02/07/2022 – 05/13/2022 Tue3:00 PM – 5:00 PM (Late afternoon)at ShanghaiInstructed by Simon, Daniel
CSCI-SHU 11-000 (23632)02/07/2022 – 05/13/2022 Wed8:00 AM – 10:00 AM (Morning)at ShanghaiInstructed by Simon, Daniel
CSCI-SHU 11-000 (23633)02/07/2022 – 05/13/2022 Wed8:00 AM – 10:00 AM (Morning)at ShanghaiInstructed by Liu, Yijian
CSCI-SHU 11-000 (23634)02/07/2022 – 05/13/2022 Thu3:00 PM – 5:00 PM (Late afternoon)at ShanghaiInstructed by Simon, Daniel
CSCI-SHU 11-000 (23767)02/07/2022 – 05/13/2022 Thu3:00 PM – 5:00 PM (Late afternoon)at ShanghaiInstructed by Liu, Yijian
CSCI-SHU 11-000 (26252)02/07/2022 – 05/13/2022 Tue9:00 PM – 10:00 PM (Evening)at ShanghaiInstructed by Spathis, Promethee
CSCI-SHU 11-000 (26253)02/07/2022 – 05/13/2022 Thu9:00 PM – 10:00 PM (Evening)at ShanghaiInstructed by Spathis, Promethee
Computer Science (Undergraduate)
4 credits – 15 Weeks
Topics include conservation laws, central force motion, Lagrange’s and Hamilton’s equations, non-inertial frames, inertia tensor, rigid body dynamics, coupled oscillators and particles, eigenvalues, eigenvectors and normal modes.
Physics (Undergraduate)
3 credits – 15 Weeks
PHYS-UA 120-000 (9318)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Moscatelli, Frank
PHYS-UA 120-000 (9319)01/24/2022 – 05/09/2022 Mon4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Loizeau, Nicolas
PHYS-UA 120-000 (9503)01/24/2022 – 05/09/2022 Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Loizeau, Nicolas
Metric spaces, topological spaces, compactness, connectedness. Covering spaces and homotopy groups.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 375-000 (9055)01/28/2019 – 05/13/2019 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by
Brief review of multivariate calculus: partial derivatives, chain rule, Riemann integral, change of variables, line integrals. Lagrange multipliers. Inverse and implicit function theorems and their applications. Introduction to calculus on manifolds: definition and examples of manifolds, tangent vectors and vector fields, differential forms, exterior derivative, line integrals and integration of forms. Gauss’ and Stokes’ theorems on manifolds.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 224-000 (8661)01/28/2019 – 05/13/2019 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by
MATH-UA 224-000 (8662)01/28/2019 – 05/13/2019 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by
First- and second-order equations. Series solutions. Laplace transforms. Introduction to partial differential equations and Fourier series.
Math (Undergraduate)
4 credits – 15 Weeks
Formulation and analysis of mathematical models. Mathematical tools include dimensional analysis, optimization, simulation, probability, and elementary differential equations. Applications to biology, economics, other areas of science. The necessary mathematical and scientific background is developed as needed. Students participate in formulating models as well as in analyzing them.
Math (Undergraduate)
4 credits – 15 Weeks
Many laws of physics are formulated as partial differential equations. This course discusses the simplest examples of such laws as embodied in the wave equation, the diffusion equation, and Laplace?s equation. Nonlinear conservation laws and the theory of shock waves. Applications to physics, chemistry, biology, and population dynamics. Prerequisite: prerequisite for MATH-UA 263
Math (Undergraduate)
4 credits – 14 Weeks
MATH-UA 9263-000 (10132)01/26/2023 – 05/05/2023 Mon,Wed9:00 AM – 10:00 AM (Morning)at NYU Paris (Global)Instructed by Lebovits, Joachim
MATH-UA 9263-000 (10310)01/26/2023 – 05/05/2023 Mon,Wed10:00 AM – 11:00 AM (Morning)at NYU Paris (Global)Instructed by Lebovits, Joachim
This honors section of Linear Algebra is a proof-based course intended for well-prepared students who have already developed some mathematical maturity and ease with abstraction. Its scope will include the usual Linear Algebra (MATH-UA 140) syllabus; however this class will be faster, more abstract and proof-based, covering additional topics. Topics covered are: Vector spaces, linear dependence, basis and dimension, matrices, determinants, solving linear equations, linear transformations, eigenvalues and eigenvectors, diagonalization, inner products, applications.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 148-000 (9196)01/24/2022 – 05/09/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Cao, Norman
MATH-UA 148-000 (10147)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Rilloraza, Paco
The scope of this honors class will include the usual MATH-UA 123 syllabus; however this class will move faster, covering additional topics and going deeper. Functions of several variables. Vectors in the plane and space. Partial derivatives with applications, especially Lagrange multipliers. Double and triple integrals. Spherical and cylindrical coordinates. Surface and line integrals. Divergence, gradient, and curl. Theorem of Gauss and Stokes.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 129-000 (9309)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 2:00 PM (Early afternoon)at Washington SquareInstructed by Serfaty, Sylvia
Prerequisites: a grade of C or better in Honors Analysis I (MATH-UA 328), or a grade of A in Analysis (MATH-UA 325) and permission of instructor. Continuation of Honors Analysis I (MATH-UA 328). Topics include: metric spaces, differentiation of functions of several real variables, the implicit and inverse function theorems, Riemann integral on R^n, Lebesgue measure on R^n, the Lebesgue integral.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 329-000 (8889)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Gunturk, C Sinan
MATH-UA 329-000 (8890)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Mui, Stephanie
Prerequisites: a grade of C or better in Honors Algebra I (MATH-UA 348), or a grade of A in Algebra (MATH-UA 343) and permission of instructor. Principal ideal domains, polynomial rings in several variables, unique factorization domains. Fields, finite extensions, constructions with ruler and compass, Galois theory, solvability by radicals.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 349-000 (8887)01/24/2022 – 05/09/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Goodman, Jonathan
MATH-UA 349-000 (8888)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Charyyev, Jumageldi
Prerequisite: A grade of C or higher in Calculus III (MATH-UA 123) or Math for Economics III (MATH-UA 213) (for economics majors). Recommended: Mathematical Physics (PHYS-UA 106). Fluid dynamics is the branch of physics that can describe the flow of blood in the human body, the flight of an insect, or the motions of weather systems. Key concepts include: the formalism of continuum mechanics; the conservation of mass, energy, and momentum in a fluid; the Euler and Navier-Stokes equations; and viscosity and vorticity. These concepts are applied to such classic problems in fluid dynamics as potential flow around a cylinder, the propagation of sound and gravity waves, and the onset of instability in shear flow.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 230-000 (8755)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Sreenivasan, Katepalli Raju
MATH-UA 230-000 (8802)at Washington SquareInstructed by
MATH-UA 230-000 (25084)01/24/2022 – 05/09/2022 Mon3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Dsa, Remston
This is an introduction to the rigorous treatment of the foundations of real analysis in one variable. It is based entirely on proofs. Students are expected to know what a mathematical proof is and are also expected to be able to read a proof before taking this class. Topics include: properties of the real number system, sequences, continuous functions, topology of the real line, compactness, derivatives, the Riemann integral, sequences of functions, uniform convergence, infinite series and Fourier series. Additional topics may include: Lebesgue measure and integral on the real line, metric spaces, and analysis on metric spaces.
Math (Undergraduate)
4 credits – 15 Weeks
Further topics in vector calculus. Vector spaces, matrix analysis. Linear and nonlinear programming with applications to game theory. This course will provide economics students who have taken MATH-UA 211 Mathematics for Economics I and MATH-UA 212 Mathematics for Economics II with the tools to take higher-level mathematics courses.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 213-000 (8764)01/24/2022 – 05/09/2022 Mon,Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Majmudar, Trushant S.
MATH-UA 213-000 (8765)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Kreiner, Aaron
MATH-UA 213-000 (8766)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Kreiner, Aaron
MATH-UA 213-000 (10146)at Washington SquareInstructed by
MATH-UA 213-000 (25303)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Normand, Raoul
MATH-UA 213-000 (25304)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Chen, Zhe
MATH-UA 213-000 (25305)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Chen, Zhe
Prerequisite: A grade of C or higher in Calculus I (MATH-UA 121) or Math for Economics II (MATH-UA 212) (for economics majors), and General Physics (PHYS-UA 11). Simulations of such phenomena as orbits (Kepler problem and N-body problem), epidemic and endemic disease (including evolution in response to the selective pressure of malaria), musical stringed instruments (piano, guitar, and violin), and traffic flow in a city (with lights, breakdowns, and gridlock). Simulations are based on mathematical models, numerical methods, and Matlab programming techniques taught in class. Emphasizes use of animation (and sound where appropriate) to present the results of simulations.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 144-000 (8767)01/24/2022 – 05/09/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Sprinkle, Brennan
MATH-UA 144-000 (8771)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Li, Guanchun
Introduction to abstract algebraic structures, including groups, rings, and fields. Sets and relations. Congruences and unique factorization of integers. Groups, permutation groups, homomorphisms and quotient groups. Rings and quotient rings, Euclidean rings, polynomial rings. Fields, finite extensions.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 343-000 (8402)01/24/2022 – 05/09/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Pigati, Alessandro
MATH-UA 343-000 (8403)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Cortes, Julian
MATH-UA 343-000 (8756)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Chiarelli, John
MATH-UA 343-000 (8757)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Cortes, Julian
The differential properties of curves and surfaces. Introduction to manifolds and Riemannian geometry.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 377-000 (9183)01/24/2022 – 05/09/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Yang, Deane
MATH-UA 377-000 (9184)01/24/2022 – 05/09/2022 Mon8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Han, Hancya
Complex numbers and complex functions. Differentiation and the Cauchy-Riemann equations. Cauchy?s theorem and the Cauchy integral formula. Singularities, residues, Taylor and Laurent series. Fractional linear transformations and conformal mapping. Analytic continuation.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 282-000 (8398)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Becker, Simon
MATH-UA 282-000 (8399)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Thoma, Eric
MATH-UA 282-000 (10621)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Thoma, Eric
This course is an introduction to rigorous analysis on the real line. Topics include: the real number system, sequences and series of numbers, functions of a real variable (continuity and differentiability), the Riemann integral, basic topological notions in a metric space, sequences and series of functions including Taylor and Fourier series.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 325-000 (8400)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by De Philippis, Guido
MATH-UA 325-000 (8401)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Peilen, Luke
MATH-UA 325-000 (10138)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Peilen, Luke
MATH-UA 325-000 (10139)01/24/2022 – 05/09/2022 Mon,Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Li, Weilin
MATH-UA 325-000 (10140)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Beekie, Raj
MATH-UA 325-000 (10141)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Beekie, Raj
MATH-UA 325-000 (10135)01/24/2022 – 05/09/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Cao, Yu
MATH-UA 325-000 (10136)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Hess-Childs, Elias
MATH-UA 325-000 (10137)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Hess-Childs, Elias
MATH-UA 325-000 (10627)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Li, Weilin
MATH-UA 325-000 (10628)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Semenov, Vadim
MATH-UA 325-000 (10629)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Semenov, Vadim
Introduces the student of biology or mathematics to the use of computers as tools for modeling physiological phenomena. The student constructs two computer models selected from the following list: circulation, gas exchange in the lung, control of cell volume, and the renal countercurrent mechanism. The student then uses the model to conduct simulated physiological experiments.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 256-000 (20798)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Peskin, Charles
MATH-UA 256-000 (20799)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Maxian, Ondrej
Topics include fixed points of one-dimensional maps; linear operators and linear approximations; stability and bifurcation; logistic maps. Cantor set, fractal sets, symbolic dynamics, conjugacy of maps. Dynamics in two dimensions. Introduction for students with little preparation to the recent discovery that, in certain regimes, fully deterministic mechanics can produce chaotic behavior.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 264-000 (8396)01/24/2022 – 05/09/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Ampatzoglou, Ioakeim
MATH-UA 264-000 (8397)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Li, Guanchun
Introduction to the mathematics of finance. Topics: linear programming with application to pricing. Interest rates and present value. Basic probability, random walks, central limit theorem, Brownian motion, log-normal model of stock prices. Black-Scholes theory of options. Dynamic programming with application to portfolio optimization.
Math (Undergraduate)
4 credits – 15 Weeks
In numerical analysis one explores how mathematical problems can be analyzed and solved with a computer. As such, numerical analysis has very broad applications in mathematics, physics, engineering, finance, and the life sciences. This course introduces the subject for mathematics majors. Theory and practical examples using Matlab are combined in the studying of topics ranging from simple root-finding procedures to differential equations and the finite element method.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 252-000 (8390)at Washington SquareInstructed by
MATH-UA 252-000 (8391)at Washington SquareInstructed by
MATH-UA 252-000 (9168)01/24/2022 – 05/09/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Stadler, Georg
MATH-UA 252-000 (9169)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Toler, Evan
MATH-UA 252-000 (9405)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Brooklyn CampusInstructed by Potter, Samuel
MATH-UA 252-000 (9406)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by Martinez Aguilar, Mariana
Techniques for counting and enumeration, including generating functions, the principle of inclusion and exclusion, and Polya counting. Graph theory. Modern algorithms and data structures for graph theoretic problems.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 240-000 (8386)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Bogomolov, Fedor
MATH-UA 240-000 (8387)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Kazi, Sujay
Divisibility and prime numbers. Linear and quadratic congruences. The classical number-theoretic functions. Continued fractions. Diophantine equations.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 248-000 (10470)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by Staccone, Matteo
MATH-UA 248-000 (10471)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by Feuer, Benjamin
Prerequisite: a grade of C or better in Calculus II (MATH-UA 122) or Math for Economics II (MATH-UA 212) (for economics majors) or equivalent. Not open to students who have taken Theory of Probability (MATH-UA 233) or Mathematical Statistics (MATH-UA 234). Combination of MATH-UA 233 and 234 at a more elementary level to acquaint students with both probability and statistics in a single term. In probability: mathematical treatment of chance; combinatorics; binomial, Poisson, and Gaussian distributions; law of large numbers and the normal distribution; application to coin-tossing; radioactive decay. In statistics: sampling; normal and other useful distributions; testing of hypotheses; confidence intervals; correlation and regression; applications to scientific, industrial, and financial data.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 235-000 (8384)01/24/2022 – 05/09/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Cerfon, Antoine
MATH-UA 235-000 (8385)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Vasantha, Rajashekar
MATH-UA 235-000 (10585)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Vasantha, Rajashekar
MATH-UA 235-000 (20795)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Falconet, Hugo
MATH-UA 235-000 (20796)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Li, Sixian
MATH-UA 235-000 (20797)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Li, Sixian
MATH-UA 235-000 (26181)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Doshi, Jash Tejaskumar
Introduction to the mathematical techniques of random phenomena occurring in the natural, physical, and social sciences. Axioms of mathematical probability, combinatorial analysis, binomial distribution, Poisson and normal approximation, random variables and probability distributions, generating functions, Markov chains, applications.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 233-000 (8695)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Tanzi, Matteo
MATH-UA 233-000 (8696)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Zhang, Linfeng
MATH-UA 233-000 (8885)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Leibovich, Matan
MATH-UA 233-000 (9078)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Wang, Liudeng
MATH-UA 233-000 (10636)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Dunlap, Alexander
MATH-UA 233-000 (10638)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Wang, Liudeng
MATH-UA 233-000 (19808)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 9:00 AM (Morning)at Brooklyn CampusInstructed by Stepp, Elizabeth
MATH-UA 233-000 (19809)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by Zhang, Linfeng
MATH-UA 233-000 (26180)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Doshi, Jash Tejaskumar
Prerequisite: a grade of C or better in Theory of Probability (MATH-UA 233) or equivalent. Not open to students who have taken Probability and Statistics (MATH-UA 235). Introduction to the mathematical foundations and techniques of modern statistical analysis used in the interpretation of data in quantitative sciences. Mathematical theory of sampling; normal populations and distributions; chi-square, t, and F distributions; hypothesis testing; estimation; confidence intervals; sequential analysis; correlation, regression, and analysis of variance. Applications to the sciences.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 234-000 (8382)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Nitzschner, Maximilian
MATH-UA 234-000 (8383)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Plotkin, Ted
MATH-UA 234-000 (9440)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Dies, Erik
MATH-UA 234-000 (9441)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Plotkin, Ted
Prerequisite: MATH-UA.0122 with a grade of C or better, departmental placement exam, or permission of the department. Functions of several variables. Vectors in the plane and space. Partial derivatives with applications. Double and triple integrals. Spherical and cylindrical coordinates. Surface and line integrals. Divergence, gradient, and curl. Theorem of Gauss and Stokes.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 123-000 (8378)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Normand, Raoul
MATH-UA 123-000 (9179)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 2:00 PM (Early afternoon)at Washington SquareInstructed by Ristroph, Leif
MATH-UA 123-000 (9180)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Liu, Shizhu
MATH-UA 123-000 (8379)01/24/2022 – 05/09/2022 Mon,Wed5:00 PM – 7:00 PM (Late afternoon)at Washington SquareInstructed by Liu, Shizhu
MATH-UA 123-000 (8380)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 2:00 PM (Early afternoon)at Washington SquareInstructed by Leingang, Matthew
MATH-UA 123-000 (24839)at Washington SquareInstructed by
Systems of linear equations. Gaussian elimination, matrices, determinants, and Cramer?s rule. Vectors, vector spaces, basis and dimension, linear transformations. Eigenvalues, eigenvectors, quadratic forms.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 140-000 (8381)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Hammoud, Naima
MATH-UA 140-000 (10125)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Qi, Sihan
MATH-UA 140-000 (10126)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Qi, Sihan
MATH-UA 140-000 (10127)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Li, Jiarui
MATH-UA 140-000 (10128)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Li, Jiarui
MATH-UA 140-000 (8986)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Sia, Charmaine
MATH-UA 140-000 (10129)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Li, Xuenan
MATH-UA 140-000 (10130)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Li, Xuenan
MATH-UA 140-000 (10131)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Kotwal, Adit
MATH-UA 140-000 (10132)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Kotwal, Adit
MATH-UA 140-000 (10120)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Liu, Shizhu
MATH-UA 140-000 (10121)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Yap, Ted
MATH-UA 140-000 (10122)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Yap, Ted
MATH-UA 140-000 (10123)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Stempel, Jordan
MATH-UA 140-000 (10124)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Frank, Natalie
MATH-UA 140-000 (9777)01/24/2022 – 05/09/2022 Mon,Wed9:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by Hammoud, Naima
MATH-UA 140-000 (10469)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Denis, Evan
MATH-UA 140-000 (10468)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Harrington, Jeremiah
Techniques of integration. Further applications. Plane analytic geometry. Polar coordinates and parametric equations. Infinite series, including power series.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 122-000 (8373)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 2:00 PM (Early afternoon)at Washington SquareInstructed by Sondjaja, Mutiara
MATH-UA 122-000 (8374)at Washington SquareInstructed by
MATH-UA 122-000 (8375)01/24/2022 – 05/09/2022 Mon,Wed10:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Shum, Fanny
MATH-UA 122-000 (8376)01/24/2022 – 05/09/2022 Tue,Thu10:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Sondjaja, Mutiara
MATH-UA 122-000 (8377)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Feklistova, Mariya
MATH-UA 122-000 (8677)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Feklistova, Mariya
MATH-UA 122-000 (10117)01/24/2022 – 05/09/2022 Tue,Thu5:00 PM – 7:00 PM (Late afternoon)at Washington SquareInstructed by Flek, Ruslan
MATH-UA 122-000 (10118)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 2:00 PM (Early afternoon)at Washington SquareInstructed by Shum, Fanny
MATH-UA 122-000 (24841)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Kalaycioglu, Selin
A first course in discrete mathematics. Sets, algorithms, and induction. Combinatorics. Graphs and trees. Combinatorial circuits. Logic and Boolean algebra.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 120-000 (8370)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Sia, Charmaine
MATH-UA 120-000 (8371)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Flek, Ruslan
MATH-UA 120-000 (8372)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Flek, Ruslan
MATH-UA 120-000 (8694)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Chikhany, Ralph
MATH-UA 120-000 (8807)at Washington SquareInstructed by
MATH-UA 120-000 (8985)01/24/2022 – 05/09/2022 Mon,Wed10:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Leingang, Matthew
MATH-UA 120-000 (9437)01/24/2022 – 05/09/2022 Tue,Thu10:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Sanfratello, Andrew
MATH-UA 120-000 (9476)01/24/2022 – 05/09/2022 Tue,Thu5:00 PM – 7:00 PM (Late afternoon)at Washington SquareInstructed by Sanfratello, Andrew
MATH-UA 120-000 (10639)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Chikhany, Ralph
MATH-UA 120-000 (24840)01/24/2022 – 05/09/2022 Mon,Wed10:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Oveys, Hesam
MATH-UA 120-000 (24904)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 5:00 PM (Late afternoon)at Washington SquareInstructed by Oveys, Hesam
MATH-UA 120-000 (26350)01/24/2022 – 05/09/2022 Mon,Wed10:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Clarkson, Corrin
MATH-UA 120-000 (26380)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 5:00 PM (Late afternoon)at Washington SquareInstructed by Clarkson, Corrin
Any one of the following: a score of 670 or higher on the mathematics portion of the SAT, a score of 650 or higher on the SAT Subject Test in Mathematics 1, a score of 650 or higher on the SAT Subject Test in Mathematics 2, an ACT mathematics score of 30 or higher, a score of 3 or higher on the AP Calculus AB exam, an AB subscore of 3 or higher on the AP Calculus BC exam, a score of 3 or higher on the AP Calculus BC exam, a grade of C or higher in Algebra and Calculus (MATH-UA 9), or a passing score on a departmental placement exam. Derivatives, antiderivatives, and integrals of functions of one variable. Applications include graphing, maximizing, and minimizing functions. Definite integrals and the fundamental theorem of calculus. Areas and volumes.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 121-000 (10098)at Washington SquareInstructed by Kalaycioglu, Selin
MATH-UA 121-000 (10099)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Saha, Shuvadeep
MATH-UA 121-000 (10100)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Saha, Shuvadeep
MATH-UA 121-000 (20793)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Patki, Sarvesh
MATH-UA 121-000 (20794)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Patki, Sarvesh
MATH-UA 121-000 (10102)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Foster, Joseph
MATH-UA 121-000 (10103)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by D’Agostino, Marina
MATH-UA 121-000 (10104)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by D’Agostino, Marina
MATH-UA 121-000 (10105)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Salha, Fatima
MATH-UA 121-000 (10106)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Salha, Fatima
MATH-UA 121-000 (10107)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Sia, Charmaine
MATH-UA 121-000 (10108)01/24/2022 – 05/09/2022 Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Vasantha, Rajashekar
MATH-UA 121-000 (10109)01/24/2022 – 05/09/2022 Tue8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Star, Zachary
MATH-UA 121-000 (10110)01/24/2022 – 05/09/2022 Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Vasantha, Rajashekar
MATH-UA 121-000 (10111)01/24/2022 – 05/09/2022 Tue2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Star, Zachary
MATH-UA 121-000 (10112)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Foster, Joseph
MATH-UA 121-000 (10113)01/24/2022 – 05/09/2022 Tue3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Cortes, Julian
MATH-UA 121-000 (10114)01/24/2022 – 05/09/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Cortes, Julian
MATH-UA 121-000 (10115)01/24/2022 – 05/09/2022 Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Gangan, Pradyuman
MATH-UA 121-000 (10116)01/24/2022 – 05/09/2022 Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Gangan, Pradyuman
Prerequisite: Three years of high school math or permission of the department. An intensive course in intermediate algebra and trigonometry. Topics include algebraic, exponential, logarithmic, and trigonometric functions and their graphs.
Math (Undergraduate)
4 credits – 15 Weeks
MATH-UA 9-000 (8365)01/24/2022 – 05/09/2022 Tue,Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Foster, Joseph
MATH-UA 9-000 (8366)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Zhou, Haosheng
MATH-UA 9-000 (8367)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Zhou, Haosheng
MATH-UA 9-000 (8368)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Sivakumar, Pranav Kamesh
MATH-UA 9-000 (8369)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Sivakumar, Pranav Kamesh
The course explores three-dimensional treatment of the kinematics of particles and rigid bodies using various coordinate systems, Newton’s laws, work, energy, impulse, momentum, conservative force fields, impact and rotation and plane motion of rigid bodies. | Prerequisite for Brooklyn Students: ME-UY 2213 | Prerequisite for Abu Dhabi Students: ENGR-UH 2011
Mechanical Engineering (Undergraduate)
3 credits – 14 Weeks
ME-UY 3223-000 (14918)09/05/2023 – 12/15/2023 Tue,Thu9:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by
ME-UY 3223-000 (15064)09/05/2023 – 12/15/2023 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Brooklyn CampusInstructed by
No prerequisite. PSYCH-UA 10 and 11 may be taken in either order. Bauer. Offered every semester. 4 points. Students gain familiarity with data description, variance and variability, significance tests, confidence bounds, and linear regression, among other topics. Students work on psychological data sets, learn approaches to statistical prediction, and learn to interpret results from randomized experiments.
Psychology (Undergraduate)
4 credits – 14 Weeks
Topics: descriptive statistics; introduction to probability; sampling; statistical inferences concerning means, standard deviations, and proportions; analysis of variance; linear regressions; and correlation. Laboratory periods cover sample problems drawn primarily from economics. Meets three times a week, plus a lab session.
Economics (Undergraduate)
4 credits – 15 Weeks
ECON-UA 18-000 (8009)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Roeper, Timothy · Gao, Jieyi · Sonthalia, Harsh
ECON-UA 18-000 (8010)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Sonthalia, Harsh
ECON-UA 18-000 (10244)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Sonthalia, Harsh
ECON-UA 18-000 (8011)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Gao, Jieyi
ECON-UA 18-000 (8012)01/24/2022 – 05/09/2022 Fri4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Gao, Jieyi
ECON-UA 18-000 (8013)01/24/2022 – 05/09/2022 Tue,Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by shachmurove, Yochanan · Shrivastava, Isha · Lodha, Rakshit
ECON-UA 18-000 (8014)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Shrivastava, Isha
ECON-UA 18-000 (8015)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Shrivastava, Isha
ECON-UA 18-000 (8016)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Lodha, Rakshit
ECON-UA 18-000 (8017)01/24/2022 – 05/09/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Fan, Xiaochen · Lu, Yucheng · Crema, Angela
ECON-UA 18-000 (8018)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Crema, Angela
ECON-UA 18-000 (8019)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Lu, Yucheng
ECON-UA 18-000 (8020)01/24/2022 – 05/09/2022 Fri4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Lu, Yucheng
Can machines think? Do patterns in online searches predict the spread of the flu? Did Shakespeare really write that sonnet? Scientists use patterns in language to answer these questions, using the same concepts that underlie search engines, automatic translators, speech recognition, spell-checkers, and auto-correction tools. Focuses on the technological and linguistic ideas behind these applications and offers hands-on experience and insight into how they work. No programming experience required.
Linguistics (Undergraduate)
4 credits – 15 Weeks
Prerequisite: Three years of high school mathematics or equivalent. No prior computer experience assumed. Students with any programming experience should consult with the computer science department before registering. Students who have taken or are taking CSCI-UA 101 will not receive credit for this course. Note: This course is not intended for computer science majors, although it is a prerequisite for students with no previous programming experience who want to continue in CSCI-UA 101. Offered every semester. 4 points. An introduction to the fundamentals of computer programming, which is the foundation of Computer Science. Students design, write and debug computer programs. No knowledge of programming is assumed.
Computer Science (Undergraduate)
4 credits – 15 Weeks
CSCI-UA 2-000 (7802)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Steigman, Amanda
CSCI-UA 2-000 (9106)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Liao, Susan
CSCI-UA 2-000 (7803)01/24/2022 – 05/09/2022 Mon,Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Kapp, Craig · Huh, Jung · Rozin, Yonatan
CSCI-UA 2-000 (7804)01/24/2022 – 05/09/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Kapp, Craig
CSCI-UA 2-000 (7805)01/24/2022 – 05/09/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Zeidenberg, Matthew
CSCI-UA 2-000 (8686)01/24/2022 – 05/09/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Lizardo, Julie
CSCI-UA 2-000 (9902)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Prager, David
CSCI-UA 2-000 (9107)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Clayton, Joshua
CSCI-UA 2-000 (8904)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Zhao, Emily
CSCI-UA 2-000 (9324)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Lgarch, Saadia
CSCI-UA 2-000 (9528)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Zeidenberg, Matthew
CSCI-UA 2-000 (9725)01/24/2022 – 05/09/2022 Tue,Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Tyson, Na’’im
CSCI-UA 2-000 (20825)01/24/2022 – 05/09/2022 Tue,Thu6:00 PM – 7:00 PM (Evening)at Washington SquareInstructed by Cardona, Michell
How many types of people are there? When and how will you die? Will you make money? Is the system fair? This fully online course introduces students to topics in data science, probability, and statistics through big life questions. Students learn to code in the R language and use simulation-based methods rather than equations for inference. Liberal Arts Core/CORE Equiv – Satisfies Quantitative Reasoning for some programs; check with your Academic Advisor
Applied Statistics (Undergraduate)
4 credits – 15 Weeks
APSTA-UE 25-000 (12866)at Washington SquareInstructed by
Students learn how to design algorithms to solve problems and how to translate these algorithms into working computer programs. Experience is acquired through programming projects in a high level programming language. CSCI-UA 101 is intended as a first course for computer science majors, and for students of other scientific disciplines. Programming assignments.
Computer Science (Undergraduate)
4 credits – 15 Weeks
CSCI-UA 101-000 (7809)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Nassar, Nader
CSCI-UA 101-000 (7810)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Ataman, Duygu
CSCI-UA 101-000 (9108)01/24/2022 – 05/09/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Bari, Anasse · Davidson, Christopher
CSCI-UA 101-000 (7811)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Cabo, Candido
CSCI-UA 101-000 (8688)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Kayar, Gizem
CSCI-UA 101-000 (8882)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Locklear, Hilbert
CSCI-UA 101-000 (9325)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Bloomberg, Amos
CSCI-UA 101-000 (9905)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Locklear, Hilbert
CSCI-UA 101-000 (20827)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Ataman, Duygu
CSCI-UA 101-000 (26001)01/24/2022 – 05/09/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Kayar, Gizem
Limits of real and complex sequences and series; topology of metric spaces; continuity and differentiability of functions; definition, properties, and approximations of Riemann integrals; convergence of sequences and series of functions; Fourier series and other orthogonal systems of functions, approximations theorems. | Prerequisites: (MA-UY 2114 or MA-UY 2514) and (MA-UY 1044 or MA-UY 2034 or MA-UY 3034 or MA-UY 3054) and Junior level standing or above. | Anti-Requisite: MA-UY 4644
Mathematics (Undergraduate)
4 credits – 14 Weeks
MA-UY 4614-000 (5340)09/02/2025 – 12/11/2025 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by
MA-UY 4614-000 (5341)09/02/2025 – 12/11/2025 Fri2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by
We are inundated by data, but data alone do not translate into useful information. Statistics provides the means for organizing, summarizing, and therefore better analyzing data so that we can understand what the data tell us about critical questions. If one collects data then understanding how to use statistical methods is critical, but it is also necessary to understand and interpret all the information we consume on a daily basis. This course provides these basic statistical approaches and techniques. This course may not be acceptable as a substitute for any other Probability and Statistics course. For Sustainable Urban Environments (SUE) students, please see your advisor. Note: Not open to math majors or students who have taken or will take MA-UY 2054 or MA-UY 2224 or MA-UY 3014 or MA-UY 3514 or ECE-UY 2233 or equivalent.
Mathematics (Undergraduate)
4 credits – 15 Weeks
MA-UY 2414-000 (9798)01/21/2025 – 05/06/2025 Tue,Thu4:00 PM – 5:00 PM (Late afternoon)at Brooklyn CampusInstructed by Spizzirri, NIcholas
Mathematics (Undergraduate)
4 credits – 15 Weeks
This course covers: Library of Functions, functions of one variable. Limits, derivatives of functions defined by graphs, tables and formulas, differentiation rules for power, polynomial, exponential and logarithmic functions, derivatives of trigonometric functions, the product and quotient rules, the chain rule, applications of the chain rule, maxima and minima, optimization. The definite integral, the Fundamental Theorem of Calculus and interpretations, theorems about definite integrals, anti-derivatives. MA-UY 1324 is for students who wish to take MA-UY 1024 but need more review of precalculus. MA-UY 1324 covers the same material as MA-UY 1024 but with more contact hours per week, incorporating a full discussion of the required precalculus topics. | Prerequisite: Placement Exam or MA-UY 912 or MA-UY 914. Corequisite: EX-UY 1.
Mathematics (Undergraduate)
4 credits – 6 Weeks
MA-UY 1324-000 (3727)05/20/2024 – 07/02/2024 Mon,Tue,Thu8:00 AM – 12:00 AM (Morning)at Brooklyn CampusInstructed by Prabhu, Vaishali
This course MA-UY 1424 is for students who wish to take MA-UY 1124 but need more review of precalculus. MA-UY 1424 covers the same material as MA-UY 1124 but with more contact hours a week, incorporating a full discussion of the required precalculus topics. | Prerequisites: MA-UY 1022 or MA-UY 1024 or MA-UY 1324. Note: credit for this course may be used to satisfy the minimum credit requirement for graduation. Corequisite: EX-UY 1
Mathematics (Undergraduate)
4 credits – 6 Weeks
MA-UY 1424-000 (3745)05/20/2024 – 07/02/2024 Mon,Tue,Thu8:00 AM – 12:00 AM (Morning)at Brooklyn CampusInstructed by Van Wagenen, Lindsey
MA-UY 1424-000 (3746)07/03/2024 – 08/15/2024 Mon,Tue,Thu9:00 AM – 12:00 AM (Morning)at Brooklyn CampusInstructed by Gbedemah, Amakoe
Mathematics (Undergraduate)
4 credits – 15 Weeks
This course covers: foundations of algebra, exponents, multiplication of algebraic expressions, factoring algebraic expressions, working with algebraic fractions, proportionality, rates of change, equations of lines, completing squares, the quadratic formula, solving equations, systems of linear equations, inequalities, domain and range of functions, exponential and logarithmic functions, compositions of functions, transformations of functions, right triangles, trigonometry of triangles.| Prerequisite: placement exam. Note: credit for this course may not be used to satisfy the minimum credit requirement for graduation. Corequisite: EX-UY 1
Mathematics (Undergraduate)
4 credits – 15 Weeks
MA-UY 914-000 (17134)09/02/2020 – 12/13/2020 Mon,Wed8:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by
MA-UY 914-000 (17135)09/02/2020 – 12/13/2020 Tue,Thu2:00 PM – 4:00 PM (Early afternoon)at Brooklyn CampusInstructed by
MA-UY 914-000 (17532)09/02/2020 – 12/13/2020 Mon,Wed11:00 AM – 1:00 PM (Morning)at Brooklyn CampusInstructed by
MA-UY 914-000 (17668)09/02/2020 – 12/13/2020 Tue,Thu5:00 PM – 7:00 PM (Late afternoon)at Brooklyn CampusInstructed by
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Introduction to abstract algebraic structures, including groups, rings, and fields. Sets and relations. Congruences and unique factorization of integers. Groups, permutation groups, group actions, homomorphisms and quotient groups, direct products, classification of finitely generated abelian groups, Sylow theorems. Rings, ideals and quotient rings, Euclidean rings, polynomial rings, unique factorization. | Prerequisites:(A grade of A- or better in MA-UY 2114 or a grade or B or better in MA-UY 2514) and (a grade of A- or better in MA-UY 1044 (formerly 3044) or MA-UY 3113 or a grade of B or better in MA-UY 3054). Additionally, it is suggested for students to have taken MA-UY 4614 or MA-UY 4644 as a prerequisite. Note: Cannot receive credit for both MA-UY 4044 and MA-UY 4054.
Mathematics (Undergraduate)
4 credits – 14 Weeks
MA-UY 4054-000 (12255)09/02/2025 – 12/11/2025 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Cappell, Sylvain
MA-UY 4054-000 (12256)09/02/2025 – 12/11/2025 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by
MA-UY 4054-000 (12257)09/02/2025 – 12/11/2025 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
This course provides a deeper understanding of topics introduced in MA-UY 2012 and MA-UY 2034 and continues the development of those topics, while also covering functions of a Complex Variable. Topics covered include: The Gram-Schmidt process, inner product spaces and applications, singular value decomposition, LU decomposition. Derivatives and Cauchy-Riemann equations, integrals and Cauchy integral theorem. Power and Laurent Series, residue theory. | Prerequisites: (MA-UY 2114 or MA-UY 2514) AND (MA-UY 2034). Note: Not open to students who have taken MA-UY 1533, MA-UY 3112 or MA-UY 4433.
Mathematics (Undergraduate)
3 credits – 14 Weeks
MA-UY 3113-000 (5390)09/02/2025 – 12/11/2025 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by
Mathematics (Undergraduate)
4 credits – 15 Weeks
Systems of linear equations, Gaussian elimination, matrices, determinants, Cramer’s rule. Vectors, vector spaces, basis and dimension, linear transformations. Eigenvalues, eigenvectors, and quadratic forms. Restricted to Tandon math and CS majors and students with a permission code from the math department. Fulfills linear algebra requirement for the BS Math and BS CS degrees. Note: Not open to students who have already taken MA-UY 1533, MA-UY 2034, MA-UY 3113 or MA-UY 3054. | Prerequisite: A grade of C or better in MA-UY 1022 or MA-UY 1024 or MA-UY 1324 or MATH-UH 1012Q or MATH-UH 1013Q or MATH-SHU 121 or MATH-SHU 201
Mathematics (Undergraduate)
4 credits – 14 Weeks
MA-UY 3044-000 (6775)09/03/2024 – 12/12/2024 Mon,Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Raquepas, Renaud
MA-UY 3044-000 (6776)09/03/2024 – 12/12/2024 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by
MA-UY 3044-000 (6777)09/03/2024 – 12/12/2024 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by
MA-UY 3044-000 (6778)09/03/2024 – 12/12/2024 Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6779)09/03/2024 – 12/12/2024 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6780)09/03/2024 – 12/12/2024 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at OnlineInstructed by Sanfratello, Andrew
MA-UY 3044-000 (6781)09/03/2024 – 12/12/2024 Fri4:00 PM – 6:00 PM (Late afternoon)at OnlineInstructed by
MA-UY 3044-000 (6782)09/03/2024 – 12/12/2024 Fri9:00 AM – 10:00 AM (Morning)at OnlineInstructed by
MA-UY 3044-000 (6783)09/03/2024 – 12/12/2024 Fri4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by
MA-UY 3044-000 (6784)09/03/2024 – 12/12/2024 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6785)09/03/2024 – 12/12/2024 Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Majmudar, Trushant
MA-UY 3044-000 (6786)09/03/2024 – 12/12/2024 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6787)09/03/2024 – 12/12/2024 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by
MA-UY 3044-000 (6788)09/03/2024 – 12/12/2024 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6789)09/03/2024 – 12/12/2024 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by
MA-UY 3044-000 (6790)09/03/2024 – 12/12/2024 Tue,Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Sanfratello, Andrew
MA-UY 3044-000 (6791)09/03/2024 – 12/12/2024 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6792)09/03/2024 – 12/12/2024 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6793)09/03/2024 – 12/12/2024 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by
MA-UY 3044-000 (6794)09/03/2024 – 12/12/2024 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by
MA-UY 3044-000 (18499)09/03/2024 – 12/12/2024 Mon,Wed8:00 AM – 9:00 AM (Morning)at Brooklyn CampusInstructed by Diaz-Alban, Jose
MA-UY 3044-000 (18500)09/03/2024 – 12/12/2024 Fri9:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by
MA-UY 3044-000 (6795)09/03/2024 – 12/12/2024 Mon,Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Pillaud-Vivien, Loucas
MA-UY 3044-000 (6796)09/03/2024 – 12/12/2024 Tue8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6797)09/03/2024 – 12/12/2024 Tue8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6798)09/03/2024 – 12/12/2024 Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 3044-000 (6799)09/03/2024 – 12/12/2024 Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
In numerical analysis one explores how mathematical problems can be analyzed and solved with a computer. As such, numerical analysis has very broad applications in mathematics, physics, engineering, finance, and the life sciences. This course gives an introduction to this subject for mathematics majors. Theory and practical examples using Matlab will be combined to study a range of topics ranging from simple root-finding procedures to differential equations and the finite element method. | Prerequisites: A grade of C or better in (MA-UY 2114 or MA-UY 2514) and (or MA-UY 1044 or MA-UY 3034 or MA-UY 3054 or MA-UY 3113) | Anti-Requisite: MA-UY 4524
Mathematics (Undergraduate)
4 credits – 14 Weeks
MA-UY 4424-000 (12157)09/02/2025 – 12/11/2025 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Al Hassanieh, Nour
MA-UY 4424-000 (12158)09/02/2025 – 12/11/2025 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by
MA-UY 4424-000 (12159)09/02/2025 – 12/11/2025 Mon,Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Chen, Tyler
MA-UY 4424-000 (12160)09/02/2025 – 12/11/2025 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 4424-000 (12161)09/02/2025 – 12/11/2025 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Chen, Yifan
MA-UY 4424-000 (12162)09/02/2025 – 12/11/2025 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by
MA-UY 4424-000 (12163)09/02/2025 – 12/11/2025 Mon,Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
MA-UY 4424-000 (12164)09/02/2025 – 12/11/2025 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by
Mathematics (Undergraduate)
4 credits – 15 Weeks
Mathematics (Undergraduate)
4 credits – 15 Weeks
Standard first course in probability, recommended for those planning further work in probability or statistics. Probability of events, random variables and expectations, discrete and continuous distributions, joint and conditional distributions, moment generating functions, the central limit theorem. | Prerequisites: MA-UY 109, MA-UY 2112, OR MA-UY 2114. Note: Not open to students who have taken MA-UY 2224 or MA-UY 3012 or MA-UY 3022.
Mathematics (Undergraduate)
3 credits – 15 Weeks
MA-UY 2233-000 (17510)09/02/2020 – 12/13/2020 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Brooklyn CampusInstructed by
MA-UY 2233-000 (17987)09/02/2020 – 12/13/2020 Fri9:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by
Computer Science (Undergraduate)
4 credits – 15 Weeks
Today’s technology enables us to collect massive amounts of data, such as images of distant planets, the ups and downs of the economy, and the patterns of our tweets and online behavior. How do we use data to discover new insights about our world? This course introduces ideas and techniques in modern data analysis, including statistical inference, machine learning models, and computer programming. The course is hands-on and data-centric; students will analyze a variety of datasets, including those from the internet and New York City. By the end of the course, students will be able to (1) apply quantitative thinking to data sets; (2) critically evaluate the conclusions of data analyses; and (3) use computing tools to explore, analyze, and visualize data. Throughout the course, we will also examine issues such as data privacy and ethics
College Core Curriculum (Undergraduate)
4 credits – 14 Weeks
CORE-UA 9111-000 (18965)09/01/2022 – 12/07/2022 Mon12:00 AM – 3:00 PM (Early afternoon)at NYU Accra (Global)Instructed by
CORE-UA 9111-000 (22967)at NYU Accra (Global)Instructed by
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
CORE-UA 111-000 (9469)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Clarkson, Corrin
CORE-UA 111-000 (21464)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Kotwal, Adit
CORE-UA 111-000 (21465)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Kotwal, Adit
CORE-UA 111-000 (21466)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Mishra, Prerna
CORE-UA 111-000 (21467)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Mishra, Prerna
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
CORE-UA 110-000 (8659)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Sanfratello, Andrew
CORE-UA 110-000 (8660)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Sinha, Sid
CORE-UA 110-000 (8661)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Sinha, Sid
CORE-UA 110-000 (8662)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Zhu, Randy
CORE-UA 110-000 (8663)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Zhu, Randy
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
CORE-UA 107-000 (8865)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Sondjaja, Mutiara
CORE-UA 107-000 (8866)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Xu, Bill
CORE-UA 107-000 (8867)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Xu, Bill
CORE-UA 107-000 (8868)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Liu, Sixian
CORE-UA 107-000 (9382)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Liu, Sixian
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
The use and design of data structures, which organize information in computer memory. Stacks, queues, linked lists, binary trees: how to implement them in a high level language, how to analyze their effect on algorithm efficiency, and how to modify them. Programming assignments.
Computer Science (Undergraduate)
4 credits – 15 Weeks
CSCI-UA 9102-000 (19807)09/02/2021 – 12/14/2021 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at NYU Paris (Global)Instructed by Cosse, Augustin Marie Dominique
CSCI-UA 9102-000 (19808)09/02/2021 – 12/14/2021 Tue2:00 PM – 3:00 PM (Early afternoon)at NYU Paris (Global)Instructed by Cosse, Augustin Marie Dominique
Data Science for Everyone is a foundational course that prepares students to participate in the data-driven world that we are all experiencing. It develops programming skills in Python so that students can write programs to summarize and compare real-world datasets. Building on these data analysis skills, students will learn how draw conclusions and make predictions about the data. Students will also explore related ethical, legal, and privacy issues.
Data Science (Undergraduate)
4 credits – 15 Weeks
DS-UA 111-000 (9775)09/02/2021 – 12/14/2021 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Jones-Rooy, Andrea · Spirling, Arthur
DS-UA 111-000 (9776)09/02/2021 – 12/14/2021 Thu4:00 PM – 5:00 PM (Late afternoon)at Washington SquareInstructed by López Peceño, Alejandro
DS-UA 111-000 (9778)09/02/2021 – 12/14/2021 Thu5:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Palmer, Lexi
DS-UA 111-000 (9779)09/02/2021 – 12/14/2021 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by López Peceño, Alejandro
DS-UA 111-000 (9780)09/02/2021 – 12/14/2021 Fri8:00 AM – 8:00 AM (Morning)at Washington SquareInstructed by Kottur, Ankita Vijaya Kumar
DS-UA 111-000 (9781)09/02/2021 – 12/14/2021 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Palmer, Lexi
Introduction to Data Science offers the fundamental principles and techniques of data science. Students will develop a toolkit to examine real world examples and cases to place data science techniques in context, to develop data-analytic thinking, and to illustrate that proper application is as much an art as it is a science. In addition, students will gain hands-on experience with the Python programming language and its associated data analysis libraries. Students will also consider ethical implications surrounding privacy, data sharing, and algorithmic decision making for a given data science solution.
Data Science (Undergraduate)
4 credits – 15 Weeks
For students joining IMA in Fall 2022 and beyond, our new program structure affects the categorization of courses on this site.
Classes listed in the “IMA Major Electives” categories refer to the old IMA program structure. If you’re under the new IMA program structure, these courses count as general IMA Electives for you. Your program structure is noted on your academic advising spreadsheet.
Students on the new program structure can search the Interchange for courses. If you’re looking for “IMA Major Distribution” courses, you'll find them listed here: