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. 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
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
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