Statistics for Business and Economics (BUSF-SHU 101)

This course introduces students to the use of statistical methods. Topics include: descriptive statistics; introduction to probability; sampling; statistical inference concerning means, standard deviations, and proportions; correlation; analysis of variance; linear regression, including multiple regression analysis. Applications to empirical situations are an integral part of the course. Pre-requisites: None Fulfillment: This course satisfies the following: Major req: BUSF, BUSM, ECON, CS, DS Foundational course; Social Science: methods course; IMB Business elective.

Business and Finance (Undergraduate)
4 credits – 13 Weeks

Sections (Fall 2022)


BUSF-SHU 101-000 (17187)09/13/2022 – 12/16/2022 Tue1:00 PM – 4:00 PM (Early afternoon)at ShanghaiInstructed by Zheng, Dan


BUSF-SHU 101-000 (17188)09/13/2022 – 12/16/2022 Wed1:00 PM – 4:00 PM (Early afternoon)at ShanghaiInstructed by Zheng, Dan


BUSF-SHU 101-000 (17189)09/13/2022 – 12/16/2022 Fri1:00 PM – 2:00 PM (Early afternoon)at ShanghaiInstructed by Zheng, Dan

Contemporary Music Performance I (ARTS-UG 1305)

This course is designed to help students develop a better understanding of music by presenting the opportunity to experience music as a musician. Students review basic music theory and develop rudimentary musicianship skills; learn how to utilize the basic functionality of common digital audio workstations; and use that experience to create music. The goal is for each student to be able to compose, rehearse, and then perform, original contemporary pieces of music, individually and in a group setting, in a wide range of musical idioms. The course culminates in a public recital of works written and performed by students.

Arts Workshops (Undergraduate)
4 credits – 14 Weeks

Sections (Fall 2023)


ARTS-UG 1305-000 (12193)09/05/2023 – 12/15/2023 Fri9:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Castellano, John

The Politics of New Media: How the Internet Works and For Whom (PRACT-UG 1460)

This course will examine the communication of ideas online, and how that communication is shaped by commerce and surveillance. We will begin by considering the role of the public sphere in a democratic society, and then turn to the early anonymous days of the internet, the rise of social media platforms, and finally the Snowden revelations, debates over digital free speech, and new technologies like TikTok and virtual reality. We will experiment with simple counter-surveillance techniques like encrypted texts that are increasingly fundamental to the sensible practice of modern journalism and media work. The course will feature occasional guests. Students will finish the course with an understanding of the relationship between modern media forms and the expression of ideas in the public sphere.

Practicum (Undergraduate)
4 credits – 14 Weeks

Sections (Fall 2025)


PRACT-UG 1460-000 (9642)09/02/2025 – 12/11/2025 Fri2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Leonard, Sarah

Introduction to Very Large Scale Integrated Circuits (ECE-UY 3193)

Credits: 3
Duration: 15 Weeks
Dates: Fri
Credits: 3
Duration: 15 Weeks
Dates: Fri,Tue,Thu

The course offers an overview of integrated circuit-design process: planning, design, fabrication and testing; device physics: PN junction, MOSFET and Spice models; inverter static and dynamic behavior and power dissipation; interconnects: cross talk, variation and transistor sizing; logic gates and combinational logic networks; sequential machines and sequential system design; subsystem design: adders, multipliers, static memory (SRAM), dynamic memory (DRAM). Topics include floor planning, clock distribution, power distribution and signal integrity; Input/Output buffers, packaging and testing; IC design methodology and CAD tools; implementations: full custom, application-specific integrated circuit (ASIC), field programmable gate arrays (FPGA). The course provides foundations of VLSI design and custom VLSI design methodology and state-of-the-art CAD tools. | Prerequisites: CS-UY 2204 (C- or better) and EE-UY 3114. ABET competencies: a,c,e,k.

Elect. Engineering – ECE UGRD (Undergraduate)
3 credits – 15 Weeks

Future Reality: Trends and Impact of New Media (ARTS-UG 1643)

Credits: 4
Duration: 15 Weeks
Dates: Fri

Augmented reality (AR), Virtual Reality (VR), “AI (Artificial Intelligence and Machine Learning) art, projection mapped art, NFT art, as well as other types of digital artworks, have come to be an integral part of new media culture. The genesis of and their relevance to new media are cultural imperatives to study and analyze — from a creative, historical, psychological, philosophical, marketing, and technological perspective. Many artists (painters, photographers, sculptors, filmmakers, animators, and writers), scientists, and technologists at NYU, as well as nearby VR World, Artechouse, and Hall des Lumières , and other NYC organizations are central to producing realistic and immersive three-dimensional environments ” AR, VR and projection mapped (360 digital imagery) worlds. Through lectures, group discussions, GoogleDoc reports, field trips to museums and new media organizations, and workshops specific to new media innovations and applications, students will gain a framework to understand the importance of these evolving technologies and their impact on the arts, ecology (sustainability initiatives), social justice, and behavioral science. Students from varying creative and technical backgrounds will participate in the development of new media art projects, intended to be showcased at the Gallatin Arts Festival. They will be introduced to and encouraged to take advantage of NYU”s LaGuardia Studio, LaGuardia Co-op, and LinkedIn Learning instructional tutorials, as well as using their own resources to aid in developing their new media projects.

Arts Workshops (Undergraduate)
4 credits – 15 Weeks

Electronic Product Design for Music and Audio (MPATE-UE 1017)

This is a multidisciplinary course in which students with previous experience with analog and digital electronics create a novel hardware–based electronic musical instrument, controller, effects unit, or other device related to their interests in music and audio. Student projects may be analog, digital, or a hybrid, and should be unique in some way from devices currently in the commercial marketplace. Students present their designs and functioning physical prototypes with the class as they evolve throughout the semester for feedback.

Music Technology (Undergraduate)
3 credits – 14 Weeks

Sections (Fall 2025)


MPATE-UE 1017-000 (10200)09/02/2025 – 12/11/2025 Fri11:00 AM – 1:00 PM (Morning)at Washington SquareInstructed by Litt, Steven


MPATE-UE 1017-000 (10201)09/02/2025 – 12/11/2025 Thu2:00 PM – 4:00 PM (Early afternoon)at Washington SquareInstructed by Litt, Steven

Rcdg Tech for Non Majors (MPATE-UE 1022)

Credits: 3
Duration: 15 Weeks
Dates: Tue,Thu
Credits: 3
Duration: 15 Weeks
Dates: Tue,Thu,Fri
Credits: 3
Duration: 15 Weeks
Dates: Tue,Thu,Fri,Tue

Introduction to the physical aspects of sound, psychoacoustics, basic electricity, principles and practice of magnetic recording and an overview of the recording studio, including an introduction to multi-track recording techniques. Students perform various duties just as they would in a professional recording session with live musicians in the recording studio. Open to students without previous experience in recording technology.

Music Technology (Undergraduate)
3 credits – 15 Weeks

Studio Production Techniques (MPATE-UE 1005)

Principles covered in MPATE-UE1001 & MPATE-UE-1003 are put into practice with additional theory & techniques. Students perform various duties just as they would in a professional recording session. Studio Lab assignments are performed outside of class reinforcing weekly topics.

Music Technology (Undergraduate)
4 credits – 14 Weeks

Sections (Fall 2025)


MPATE-UE 1005-000 (8705)09/02/2025 – 12/11/2025 Fri11:00 AM – 1:00 PM (Morning)at Washington SquareInstructed by O’Reilly, Michael

Digital Art and New Media (ARTS-UG 1635)

This workshop seeks to bring students from varying backgrounds together to engage in evaluating and sharing digital new media for the Internet and other new media art mediums. Each student brings to the class a set of experiences and skills, such as research, writing, design, film, music, photography, computer gaming, performance, animation, computer literacy, software knowledge, virtual reality, augmented reality, mixed reality, A.I. (Artificial Intelligence) Generative Art experiences, among others. The class will discuss new media concepts, content strategies, and frameworks that bridge theory and practice. Through lectures (including a survey of digital new media innovations), group discussions, virtual or other lectures and/or workshops, students will develop individual projects, based on their new media skills. The class intends to be a part of the development of the Virtual Reality (VR) Museum (“Virtual Museum XR”), or other Gallatin arts initiatives, such as Rabbit Hole. Digital new media projects may include digital photography, animated films, podcasts, sound art installations, TikTok, music videos, VR, AR, A.I. Generative Art, to name a few. Class projects, readings, and week-to-week journal-keeping reports are essential components of this workshop. They will reside in a designated Google Docs site, specific for this class. Students are encouraged to supply their own media and take advantage of NYU’s LinkedIn Learning new media tutorials and access NYU’s LaGuardia Studio and LaGuardia Co-op hardware and software opportunities.

Arts Workshops (Undergraduate)
4 credits – 14 Weeks

Sections (Fall 2025)


ARTS-UG 1635-000 (9414)09/02/2025 – 12/11/2025 Fri11:00 AM – 1:00 PM (Morning)at Washington SquareInstructed by Allen, Cynthia

Senior Design Capstone Project I (ENGR-UH 4011)

Students learn about the process of design with measurable metrics, and how to incorporate appropriate engineering standards and multiple realistic constraints in the design process. Students learn how to clearly frame the design problem and follow the design process to result in an optimized solution. Students perform a review of the relevant literature, develop a preliminary design, generate solution concepts and selection criteria, and review and evaluate the chosen design. Students must consider social, economic, lifecycle, environmental, ethical, and other constraints, and must document the design process and the evolution of their design. This project culminates with a final report and presentation that proposes the actual design selected for further development and/or prototyping and testing in the subsequent semester.

Engineering (Undergraduate)
2 credits – 15 Weeks

Sections (Fall 2024)


ENGR-UH 4011-000 (3947)08/26/2024 – 12/10/2024 Fri8:00 AM – 9:00 AM (Morning)at Abu DhabiInstructed by George, Pradeep


ENGR-UH 4011-000 (4045)at Abu DhabiInstructed by George, Pradeep

Introduction to Computer and Data Science (CSCI-SHU 101)

This course has three goals. First, the mastering of a modern object-oriented programming language, enough to allow students to tackle real-world problems of important significance. Second, gaining an appreciation of computational thinking, a process that provides the foundations for solving real-world problems. Finally, providing an overview of the very diverse and exciting field of computer science – a field which, arguably more than any other, impacts how we work, live, and play today. Prerequisite: Introduction to Computer Programming or placement exam. Equivalency: This course counts for CSCI-UA 101. Fulfillment: Core Curriculum Requirement Algorithmic Thinking; Computer Science Major Required Courses; Computer Systems Engineering Major Required Courses; Data Science Major Foundational Courses; Electrical and Systems Engineering Major Required Major Courses.

Computer Science (Undergraduate)
4 credits – 14 Weeks

Sections (Spring 2022)


CSCI-SHU 101-000 (17449)02/07/2022 – 05/13/2022 Tue8:00 AM – 10:00 AM (Morning)at ShanghaiInstructed by Gu, Xianbin


CSCI-SHU 101-000 (17509)02/07/2022 – 05/13/2022 Thu8:00 AM – 10:00 AM (Morning)at ShanghaiInstructed by Yin, Wen


CSCI-SHU 101-000 (17572)02/07/2022 – 05/13/2022 Thu8:00 PM – 9:00 PM (Evening)at ShanghaiInstructed by Yin, Wen


CSCI-SHU 101-000 (17596)02/07/2022 – 05/13/2022 Wed9:00 AM – 11:00 AM (Morning)at ShanghaiInstructed by Gu, Xianbin


CSCI-SHU 101-000 (17751)02/07/2022 – 05/13/2022 Fri9:00 AM – 11:00 AM (Morning)at ShanghaiInstructed by Yin, Wen

Computer Networks (CS-UH 3012)

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

Have you ever wondered how the internet or Facebook is able to support a billion simultaneous users? This course teaches students the design and implementation of such Internet-scale networks and networked systems. Students learn about the principles and techniques used to construct large-scale networks and systems. Topics in this course include routing protocols, network congestion control, wireless networking, network security, and peer-to-peer systems. Upon completing this course, students are able to initiate and critique research ideas, implement their own working systems, and evaluate such systems. To make the issues more concrete, the class includes several multi-week projects requiring significant design and implementation. The goal is for students to learn not only what computer networks are and how they work today, but also why they are designed the way they are and how they are likely to evolve in the future. Examples are drawn primarily from the internet.

Computer Science (Undergraduate)
4 credits – 15 Weeks

Problem Solving and Programming I (CS-UY 1113)

Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri
Credits: 3
Duration: 15 Weeks
Dates: Mon,Wed,Fri

This course introduces problem solving and computer programming and is for undergraduate engineering students who do not have prior experience in programming in any language. The course covers fundamentals of computer programming and its underlying principles using the Python programming language. Concepts and methods introduced in the course are illustrated by examples from engineering and other disciplines. | Co-requisite: EX-UY 1; Anti-requisite: CS-UY 1114

Computer Science (Undergraduate)
3 credits – 15 Weeks

Social and Cultural Analysis 101 (SCA-UA 101)

Introduces theories, methods, and political trajectories central to the Department of Social and Cultural Analysis (SCA). SCA 101 addresses how individuals and populations structure their worlds and navigate the resulting social, cultural, and political terrain. It privileges scholarly work with an intersectional approach, drawing on theoretical insights from such fields as social geography, feminism and queer studies, ethnic studies, urban and metropolitan studies, critical race theory, labor studies, and cultural studies.

Social and Cultural Analysis (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


SCA-UA 101-000 (9221)01/24/2022 – 05/09/2022 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Patros, Tyson


SCA-UA 101-000 (9222)01/24/2022 – 05/09/2022 Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Grimaldi, Nicole


SCA-UA 101-000 (9223)01/24/2022 – 05/09/2022 Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Grimaldi, Nicole


SCA-UA 101-000 (9224)01/24/2022 – 05/09/2022 Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Ghabin, Tamar


SCA-UA 101-000 (9225)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Ghabin, Tamar

Lab in Human Cognition (PSYCH-UA 46)

Students experience current thinking in hypothesis formulation, experimental design, data analysis and research communication. Experiments are performed in the fields of Cognition and Perception and can include visual processing, auditory processing, learning, memory, and decision making. Students complete research projects and gain experience in writing research reports that conform to APA guidelines.

Psychology (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2019)


PSYCH-UA 46-000 (9749)01/28/2019 – 05/13/2019 Fri1:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by

Advanced Psychological Statistics (PSYCH-UA 11)

Psychology (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


PSYCH-UA 11-000 (9029)01/24/2022 – 05/09/2022 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Hilford, Andrew


PSYCH-UA 11-000 (9030)01/24/2022 – 05/09/2022 Tue12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Sun, Siqi


PSYCH-UA 11-000 (9031)01/24/2022 – 05/09/2022 Mon9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Sun, Siqi


PSYCH-UA 11-000 (9134)01/24/2022 – 05/09/2022 Tue3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Yang, Judy


PSYCH-UA 11-000 (9135)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Yang, Judy


PSYCH-UA 11-000 (9363)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Yang, Qingqing


PSYCH-UA 11-000 (9364)01/24/2022 – 05/09/2022 Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Yang, Qingqing

Social Psychology (PSYCH-UA 32)

Gollwitzer, Trope, Uleman. Offered every semester. 4 points. Introduction to theories and research about the social behavior of individuals, such as perception of others and the self, attraction, affiliation, altruism and helping, aggression, moral thought and action, attitudes, influence, conformity, social exchange and bargaining, group decision making, leadership and power, and environmental psychology.

Psychology (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


PSYCH-UA 32-000 (8510)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Gollwitzer, Peter


PSYCH-UA 32-000 (8511)01/24/2022 – 05/09/2022 Mon2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Adjei Boateng, Fiona


PSYCH-UA 32-000 (8512)01/24/2022 – 05/09/2022 Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Kwak, Jasmine


PSYCH-UA 32-000 (8513)01/24/2022 – 05/09/2022 Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Tao, Bradley


PSYCH-UA 32-000 (8514)01/24/2022 – 05/09/2022 Tue12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Tao, Bradley


PSYCH-UA 32-000 (8515)01/24/2022 – 05/09/2022 Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Kwak, Jasmine


PSYCH-UA 32-000 (8516)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Liaquat, Usman


PSYCH-UA 32-000 (25991)01/24/2022 – 05/09/2022 Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Adjei Boateng, Fiona


PSYCH-UA 32-000 (25995)01/24/2022 – 05/09/2022 Mon11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Liaquat, Usman

Personality (PSYCH-UA 30)

AndersenAndersen. Offered every semester. 4 points. Introduction to research in personality, including such topics as the self-concept; unconscious processes; how we relate to others; and stress, anxiety, and depression.

Psychology (Undergraduate)
4 credits – 15 Weeks

Sections (Spring 2022)


PSYCH-UA 30-000 (9269)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Andersen, Susan


PSYCH-UA 30-000 (9270)01/24/2022 – 05/09/2022 Mon2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Ganapathy, Rheanna


PSYCH-UA 30-000 (9271)01/24/2022 – 05/09/2022 Fri12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Qin, Joyce


PSYCH-UA 30-000 (9272)01/24/2022 – 05/09/2022 Tue12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Qin, Joyce


PSYCH-UA 30-000 (9273)01/24/2022 – 05/09/2022 Fri8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Ganapathy, Rheanna