Category Archives: Quantitative Reasoning

Elective Courses in Liberal Arts & Sciences

Principles of Data Science I (DS-UA 9111)

Credits: 4
Duration: 14 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 14 Weeks
Dates: Mon,Wed

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 to draw conclusions and make predictions about the data. Students will also explore related ethical, legal, and privacy issues.

Data Science (Undergraduate)
4 credits – 14 Weeks

Digital Logic (CENG-SHU 201)

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

Basic Practice of Statistics for Social Science (MA-UY 1414)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu

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

Philosophy of Math (PHIL-UA 98)

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

Sections (Spring 2025)


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

Special Topics in Data Science (DS-UA 300)

Topics and prerequisites vary by semester

Data Science (Undergraduate)
4 credits – 14 Weeks

Sections (Fall 2024)


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

Stats F/Bus Cntl Regress & Forecasting Models (STAT-UB 103)

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

Sections (Spring 2024)


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

Intro Theory of Probability (STAT-UB 14)

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

Sections (Fall 2023)


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

Counting and Chance (MTHED-UE 1051)

Credits: 4
Duration: 15 Weeks
Dates:

This course is designed to be accessible and approachable for people who will be future teachers of elementary school mathematics. It is also intended for people who want to broaden their knowledge in mathematics and experience it as a relevant, challenging, and enjoyable field. It is not intended for math majors. It will be taught as a problem-based course, that allows for students to explore and develop new ideas, and apply them to real life situations. The course builds on intuitive understandings of fundamental ideas of counting and chance and moves gradually to more formal knowledge of combinatorics and probability concepts and techniques. The learning experiences offered throughout the course are designed to facilitate student interactions and active role in the learning process. Liberal Arts Core/MAP Equivalent – satisfies the requirement for Quantitative Reasoning for Steinhardt students.

Mathematics Education (Undergraduate)
4 credits – 15 Weeks

Introduction to Computer Programming (Limited Prior Experience) (CSCI-UA 3)

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

Sections (Fall 2022)


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

Introduction to Computer Programming (CSCI-SHU 11)

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

Sections (Spring 2022)


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

Discrete Mathematics (CS-UH 1002)

Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu

Discrete mathematics concerns the study of mathematical structures that are discrete rather than continuous, and provides a powerful language for investigating many areas of computer science. Discrete structures are characterized by distinct elements, which are often represented by integers. Continuous mathematics on the other hand deals with real numbers. Topics in this course include: sets, counting techniques, logic, proof techniques, solving recurrence relations, number theory, probability, statistics, graph theory, and discrete geometry. These mathematical tools are illustrated with applications in computer science.

Computer Science (Undergraduate)
4 credits – 15 Weeks

Dynamics (PHYS-UA 120)

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

Sections (Spring 2022)


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

Vector Analysis (MATH-UA 224)

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

Sections (Spring 2019)


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

Intro to Math Modeling (MATH-UA 251)

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

Partial Differential Equations (MATH-UA 9263)

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

Sections (Spring 2023)


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

Honors Linear Algebra (MATH-UA 148)

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

Sections (Spring 2022)


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

Honors Calculus III (MATH-UA 129)

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

Sections (Spring 2022)


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

Honors Algebra II (MATH-UA 349)

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

Sections (Spring 2022)


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

Honors Analysis II (MATH-UA 329)

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

Sections (Spring 2022)


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

Introduction to Fluid Dynamics (MATH-UA 230)

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

Sections (Spring 2022)


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

Honors Analysis I (MATH-UA 328)

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

Mathematics for Economics III (MATH-UA 213)

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

Sections (Spring 2022)


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

Introduction to Computer Simulation (MATH-UA 144)

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

Sections (Spring 2022)


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

Differential Geometry (MATH-UA 377)

The differential properties of curves and surfaces. Introduction to manifolds and Riemannian geometry.

Math (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


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

Algebra (MATH-UA 343)

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

Sections (Spring 2022)


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

Functions of a Complex Variable (MATH-UA 282)

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

Sections (Spring 2022)


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

Analysis (MATH-UA 325)

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

Sections (Spring 2022)


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

Chaos & Dynamical Systems (MATH-UA 264)

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

Sections (Spring 2022)


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

Computers in Medicine & Biology (MATH-UA 256)

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

Sections (Spring 2022)


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

Mathematics of Finance (MATH-UA 250)

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

Numerical Analysis (MATH-UA 252)

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

Sections (Spring 2022)


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

Theory of Numbers (MATH-UA 248)

Divisibility and prime numbers. Linear and quadratic congruences. The classical number-theoretic functions. Continued fractions. Diophantine equations.

Math (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


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

Combinatorics (MATH-UA 240)

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

Sections (Spring 2022)


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

Probability & Statistics (MATH-UA 235)

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

Sections (Spring 2022)


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

Theory of Probability (MATH-UA 233)

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

Sections (Spring 2022)


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

Mathematical Statistics (MATH-UA 234)

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

Sections (Spring 2022)


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

Linear Algebra (MATH-UA 140)

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

Sections (Spring 2022)


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

Calculus III (MATH-UA 123)

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

Sections (Spring 2022)


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

Calculus II (MATH-UA 122)

Techniques of integration. Further applications. Plane analytic geometry. Polar coordinates and parametric equations. Infinite series, including power series.

Math (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


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

Discrete Mathematics (MATH-UA 120)

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

Sections (Spring 2022)


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

Calculus I (MATH-UA 121)

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

Sections (Spring 2022)


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

Algebra and Calculus (MATH-UA 9)

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

Sections (Spring 2022)


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

Dynamics (ME-UY 3223)

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

Sections (Fall 2023)


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

Statistics for The Behavioral Sciences (PSYCH-UA 10)

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

Statistics (P) (ECON-UA 18)

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

Sections (Spring 2022)


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

Patterns in Language (LING-UA 6)

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

Introduction to Computer Programming (No Prior Experience) (CSCI-UA 2)

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

Sections (Spring 2022)


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

Carpe Datum: Data Science for Life’s Big Questions (APSTA-UE 25)

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

Sections (Spring 2022)


APSTA-UE 25-000 (12866)at Washington SquareInstructed by

Intro to Computer Science (CSCI-UA 101)

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

Sections (Spring 2022)


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

Applied Analysis (MA-UY 4614)

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

Sections (Fall 2025)


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

Basic Practice of Statistics for Social Science (MA-UY 2414)

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

Sections (Spring 2025)


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

Integrated Calculus II for Engineers (MA-UY 1424)

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

Sections (Summer 2024)


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

Calculus II for Engineers (MA-UY 1124)

Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Tue,Thu

This course covers techniques of integration, introduction to ordinary differential equations, improper integrals, numerical methods of integration, applications of integration, sequences, series, power series, approximations of functions via Taylor polynomials, Taylor series, functions of two variables, graphs of functions of two variables, contour diagrams, linear functions, functions of three variables. | Prerequisites: MA-UY 1024 or MA-UY 1324 | Corequisite: EX-UY 1.

Mathematics (Undergraduate)
4 credits – 15 Weeks

Integrated Calculus I for Engineers (MA-UY 1324)

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

Sections (Summer 2024)


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

Precalculus for Engineers (MA-UY 914)

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

Sections (Fall 2020)


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

Calculus I for Engineers (MA-UY 1024)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Mon,Wed

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. | Prerequisite: Placement Exam or MA-UY 914 | Corequisite: EX-UY 1

Mathematics (Undergraduate)
4 credits – 15 Weeks

Honors Calculus III (MA-UY 2514)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri

Similar to MA-UY 2114 Calculus III, but at a faster pace and deeper level. 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. Students pursuing an honors mathematics degree are especially encouraged to consider this course. Prerequisite: (MA-UY 1124 or MA-UY 1424) with a grade of A- or better OR a 5 on the AP Calculus BC Exam and Department Permission. Anti-requisite: MA-UY 2114

Mathematics (Undergraduate)
4 credits – 15 Weeks

Mathematics of Finance (MA-UY 4324)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed,Thu

Introduction to the mathematics of finance. Topics include: Linear programming with application pricing and quadratic. Interest rates and present value. Basic probability: random walks, central limit theorem, Brownian motion, lognormal model of stock prices. Black-Scholes theory of options. Dynamic programming with application to portfolio optimization. | Prerequisites: A grade of C or better in (MA-UY 2114 or MA-UY 2514) and a grade of C or better in (MA-UY 2054 or MA-UY 2224 or MA-UY 2414 or MA-UY 3014 or MA-UY 3022 or MA-UY 3514 or MA-UY 4114).

Mathematics (Undergraduate)
4 credits – 15 Weeks

Honors Analysis I (MA-UY 4644)

Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri

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. | Prerequisites: A grade of A- or better in (MA-UY 2114 or MA-UY 2514) and (MA-UY 1044 or MA-UY 2034 or MA-UY 3054) and Junior level standing or above. Recommended: MA-UY 2514 Honors Calculus III and MA-UY 3054 Honors Linear Algebra with a grade of B or better. | Anti-Requisite: MA-UY 4614

Mathematics (Undergraduate)
4 credits – 15 Weeks

Combinatorics (MA-UY 4314)

Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Thu

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. | Prerequisite: C or better in MA-UY 1124 or MA-UY 1424.

Mathematics (Undergraduate)
4 credits – 15 Weeks

Ordinary Diff Equations (MA-UY 4204)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed

A first course in ordinary differential equations, including analytical solution methods, elementary numerical methods, and modeling. Topics to be covered include: first-order equations including integrating factors; second-order equations including variation of parameters; series solutions; elementary numerical methods including Euler’s methods, Runge-Kutta methods, and error analysis; Laplace transforms; systems of linear equations; boundary-value problems. Restricted to Tandon math majors and students with a permission code from the math department. Fulfills ordinary differential equations requirement for the BS Math degree. | Prerequisites: C or better in (MA-UY 2114 or MA-UY 2514 or MATH-UH 1020 or MATH-UH 1021 or MATH-SHU 151) and (MA-UY 1044 or MA-UY 3054 or MA-UY 3113 or MATH-UH 1022 or MATH-SHU 140 or MATH-SHU 141). Note: Not open to students who have taken or will take MA-UY 2034 or MA-UY 4254

Mathematics (Undergraduate)
4 credits – 15 Weeks

Honors Algebra I (MA-UY 4054)

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

Sections (Fall 2025)


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

Algebra (MA-UY 4044)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Mon,Wed

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. | Prerequisites: A grade of C or better in (MA-UY 2114 or MA-UY 2514) and (MA-UY 1044 (formerly 3044) or MA-UY 3054 or MA-UY 3113). 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 – 15 Weeks

Intro to Math Modeling (MA-UY 4444)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri

Formulation and analysis of mathematical models. Mathematical tools include dimensional analysis, optimization, simulation, probability, and elementary differential equations. Applications to biology, sports, economics, and other areas of science. The necessary mathematical and scientific background will be developed as needed. Students participate in formulating models as well as in analyzing them. | Prerequisites: A grade of C or better in (MA-UY 2114 or MA-UY 2514) and (MA-UY 2034 or MA-UY 1044 (formerly MA-UY 3044) or MA-UY 3054).

Mathematics (Undergraduate)
4 credits – 15 Weeks

Honors Linear Algebra (MA-UY 3054)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Fri

This honors section of Linear Algebra is intended for well-prepared students who have already developed some mathematical maturity. Its scope will include the usual Linear Algebra (MA-UY 3044) syllabus; however, this class will move faster, covering additional topics and going deeper. Vector spaces, linear dependence, basis and dimension, matrices, determinants, solving linear equations, eigenvalues and eigenvectors, quadratic forms, applications such as optimization or linear regression. Note: Not open to students who have already taken MA-UY 1044, MA-UY 1533, MA-UY 2034, or MA-UY 3113. | Prerequisites: A- or better in MA-UY 1024 or MA-UY 1324 or MA-UY 1022

Mathematics (Undergraduate)
4 credits – 15 Weeks

Discrete Mathematics (MA-UY 2314)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu,Mon,Wed

Logic, proofs, set theory, functions, relations, asymptotic notation, recurrences, modeling computation, graph theory. | Prerequisite: Math Diagnostic Exam or MA-UY 914 (minimum calculus level required) | Prerequisite for Shanghai students: MATH-SHU 131. Note: This course and CS-GY 6003 cannot both be taken for credit.

Mathematics (Undergraduate)
4 credits – 15 Weeks

Linear Algebra (MA-UY 3044)

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

Sections (Fall 2024)


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

Advanced Linear Algebra and Complex Variables (MA-UY 3113)

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

Sections (Fall 2025)


MA-UY 3113-000 (5390)09/02/2025 – 12/11/2025 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by

Linear Algebra and Differential Equations (MA-UY 2034)

Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 4
Duration: 15 Weeks
Dates: Tue,Thu

MA-UY 2034 is an introduction to ordinary differential equations and linear algebra. The course develops the techniques for the analytic and numeric solutions of ordinary differential equations (and systems) that are widely used in modern engineering and science. Linear algebra is used as a tool for solving systems of linear equations as well as for understanding the structure of solutions to linear (systems) of differential equations. Topics covered include the fundamental concepts of linear algebra such as Gaussian elimination, matrix theory, linear transformations, vector spaces, subspaces, basis, eigenvectors, eigenvalues and the diagonalization of matrices, as well as the techniques for the analytic and numeric solutions of ordinary differential equations (and systems) that commonly appear in modern engineering and science. | Prerequisite: MA-UY 1124 or MA-UY 1424. Note: Not open to students who have taken MA-UY 1044 or MA-UY 3054 or MA-UY 3083 or MA-UY 4204.

Mathematics (Undergraduate)
4 credits – 15 Weeks

Calculus III: Multi-Dimensional Calculus (MA-UY 2114)

Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed

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. Theorems of Gauss and Stokes. | Prerequisite: MA-UY 1124 or MA-UY 1424. Anti-requisite: MA-UY 2514

Mathematics (Undergraduate)
4 credits – 15 Weeks

Introduction to Probability (MA-UY 2233)

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

Sections (Fall 2020)


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

Data Structures and Algorithms (CS-UY 1134)

Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 4
Duration: 15 Weeks
Dates: Mon,Wed,Fri

This course covers abstract data types and the implementation and use of standard data structures along with fundamental algorithms and the basics of algorithm analysis. Not open to students who have taken CS-UY 2134. | Prerequisite for Brooklyn Students: CS-UY 1114 or CS-UY 1121 (C- or better) | Prerequisite for Abu Dhabi Students: CS-UH 1001 or ENGR-UH 1000 | Prerequisite for Shanghai Students: CSCI-SHU 101 | Corequisite for all Students: EX-UY 1

Computer Science (Undergraduate)
4 credits – 15 Weeks

Quantitative Reasoning: From Data to Discovery (CORE-UA 9111)

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

Sections (Fall 2022)


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

Quantitative Reasoning: From Data to Discovery (CORE-UA 111)

College Core Curriculum (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


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

Quantitative Reasoning: Great Ideas in Mathematics (CORE-UA 110)

For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu

College Core Curriculum (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


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

Quantitative Reasoning: Prob,Stats & Decisn-Mkng (CORE-UA 107)

For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu

College Core Curriculum (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


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

Data Structures (CSCI-UA 9102)

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

Sections (Fall 2021)


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

Introduction to Data Science (DS-UA 112)

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

Data Science for Everyone (DS-UA 111)

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

Sections (Fall 2021)


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