Considers how public policy is created, how social change occurs, and the influence of science, government, business, and non-governmental organizations on animal-related policies, legislation, litigation, and consumer campaigns, as well the meaning of “animal rights” and the impact of the modern animal protection movement.
Animal Studies (Undergraduate)
4 credits – 15 Weeks
In this course we will take a tour of the materials and techniques utilized by artists in the emerging field of biological art – that is art which uses life itself as a medium. This hybrid art and science class will introduce concepts in genetic engineering, personal genomics, the microbiome, epigenetics, microscopic imaging, tissue culture/bioprinting, biopolitics, and bioethics as sites for artistic exploration. Organized in thematic modules students will learn basic lab techniques while studying the work of artists in this interdisciplinary field. The three core areas are: Input/Output (imaging and printing with biology, tissue culture), identity after the genome (genetics, personal genomics, microbiome, epigenetics, portraiture), and final projects. Weekly readings and written responses will supplement lab activities. The course will culminate in the creation of original biological artworks by each student, which will be exhibited in the Interactive Media Showcase at the end of the semester.
Interactive Media (Undergraduate)
4 credits – 15 Weeks
IM-UH 2514E-000 (20014)
Artificial intelligence and machine learning algorithms affect many aspects of our lives whether we realize it or not: banking transactions, healthcare treatments and diagnoses, entertainment recommendations, smart car functionality, customer service agents, financial trading… the list goes on and on. The power of these algorithms lies in their ability to leverage computers to “study” and “learn”. Instead of programming a computer to do a specific task, we program the computer to train and teach itself how to do any number of tasks. As artists, how can we harness the power of these algorithms and apply them towards creative endeavors? This class will explore that basic question. Through a combination of high level applied machine learning techniques, speculative design of artificial intelligence, and some basic understanding of how these algorithms work at a low level, students will explore this rich new field. With their machine counterparts, they will create images, sounds, text, intuitive interactions, chatbots, and more.
Interactive Media (Undergraduate)
4 credits – 15 Weeks
Sleep is something akin to the ocean-it surrounds us, and we could not live without it, yet it remains a mystery, whose secrets we are only now beginning to unfold. Scientific research into sleep and dreams began in earnest about fifty years ago. Since that time, the small and burgeoning field of sleep medicine has taught us a great deal about how and why we sleep. This course will provide students with a comprehensive introduction to sleep and physiology, the evolution of sleep, circadian and biological rhythms, dreams, and the diagnosis and treatment of sleep disorders. Through exercises and assignments, students will learn the importance of sleep for mental and physical well-being and how to best establish a healthy sleep routine.
Child/Adoles Mental Hlth Stds (Undergraduate)
4 credits – 15 Weeks
Examines the state of college-student mental health and wellness on a personal and systems level. As undergraduate university students approach the end of adolescence, they often reevaluate the beliefs, values, and assumptions with which they left home. Young adulthood is a time of great promise, but the transition from child to adult is never easy. We look at how individuals can create positive change by reinterpreting their goals and identifying steps toward a successful college experience. Key findings from the fields of neuroscience and positive psychology are referenced to inform our study of the biopsychosocial underpinnings of success and happiness. Through lectures and discussions, students learn about a variety of wellness topics that include mindfulness, relationships, and self-esteem. The final project requires students to promote an area of mental wellness on campus.
Child/Adoles Mental Hlth Stds (Undergraduate)
4 credits – 15 Weeks
CAMS-UA 110-000 (7390)09/01/2022 – 12/14/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Schlechter, Alan · Lerner, Daniel Louis
CAMS-UA 110-000 (9676)09/01/2022 – 12/14/2022 Mon2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9677)09/01/2022 – 12/14/2022 Mon8:00 AM – 8:00 AM (Morning)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9678)09/01/2022 – 12/14/2022 Mon9:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9679)09/01/2022 – 12/14/2022 Mon7:00 PM – 8:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9680)09/01/2022 – 12/14/2022 Mon8:00 PM – 9:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9682)09/01/2022 – 12/14/2022 Wed8:00 AM – 8:00 AM (Morning)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9683)09/01/2022 – 12/14/2022 Wed9:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9684)09/01/2022 – 12/14/2022 Wed7:00 PM – 8:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9685)09/01/2022 – 12/14/2022 Wed7:00 PM – 8:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9686)09/01/2022 – 12/14/2022 Wed8:00 PM – 9:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9687)09/01/2022 – 12/14/2022 Wed8:00 PM – 9:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9688)09/01/2022 – 12/14/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9689)09/01/2022 – 12/14/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9690)09/01/2022 – 12/14/2022 Mon3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9691)09/01/2022 – 12/14/2022 Fri8:00 AM – 8:00 AM (Morning)at Washington SquareInstructed by Schlechter, Alan · Lerner, Daniel Louis
CAMS-UA 110-000 (9692)09/01/2022 – 12/14/2022 Fri9:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Schlechter, Alan · Lerner, Daniel Louis
CAMS-UA 110-000 (9693)09/01/2022 – 12/14/2022 Fri7:00 PM – 8:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan
CAMS-UA 110-000 (9694)09/01/2022 – 12/14/2022 Fri8:00 PM – 9:00 PM (Evening)at Washington SquareInstructed by Schlechter, Alan · Lerner, Daniel Louis
The Vertically Integrated Projects I-IV courses are designed to allow select students to participate in ongoing research projects within student teams, under the direction of faculty from within Tandon, and other schools of NYU. These courses are open to students from the sophomore to senior years, and students must apply to engage in a specific project in a given semester. Decisions on acceptance will be made by the faculty advisors for the project, in consultation with the Director of the VIP Program. | Department Consent Required.
Vertically Integrated Projects (Undergraduate)
1-3 credits – 15 Weeks
VIP-UY 300X-000 (17658)at Brooklyn CampusInstructed by Jin, Weihua
VIP-UY 300X-000 (17782)at Brooklyn CampusInstructed by Angel, Luis
VIP-UY 300X-000 (17783)at Brooklyn CampusInstructed by Loianno, Giuseppe
VIP-UY 300X-000 (17784)at Brooklyn CampusInstructed by Moss, Andy
VIP-UY 300X-000 (17785)at Brooklyn CampusInstructed by Chow, Ying Jun Joseph
VIP-UY 300X-000 (17786)at Brooklyn CampusInstructed by Dickey, Christopher
VIP-UY 300X-000 (17898)at Brooklyn CampusInstructed by Milkis, Mark
VIP-UY 300X-000 (17900)at Brooklyn CampusInstructed by Chiarelli, Lawrence · Pennella, Ronald
VIP-UY 300X-000 (17951)at Brooklyn CampusInstructed by Maidenberg, Yanir
VIP-UY 300X-000 (17952)at Brooklyn CampusInstructed by Dimauro, Christopher · Togelius, Julian
VIP-UY 300X-000 (17953)at Brooklyn CampusInstructed by Atashzar, Seyed
VIP-UY 300X-000 (17958)at Brooklyn CampusInstructed by Harden, Vanessa
VIP-UY 300X-000 (17997)at Brooklyn CampusInstructed by Gold, Michael · Perlin, Kenneth
VIP-UY 300X-000 (17998)at Brooklyn CampusInstructed by
VIP-UY 300X-000 (18002)at Brooklyn CampusInstructed by Brain, Tega · Piantella, Benedetta
VIP-UY 300X-000 (18003)at Brooklyn CampusInstructed by Huang, Danny
VIP-UY 300X-000 (18010)at Brooklyn CampusInstructed by Liu, Shizhu · Policastro, Christopher
VIP-UY 300X-000 (22923)at Brooklyn CampusInstructed by Samsonau, Sergey
VIP-UY 300X-000 (22930)at Brooklyn CampusInstructed by Porfiri, Maurizio
VIP-UY 300X-000 (22924)at Brooklyn CampusInstructed by Reznickova, Anna
VIP-UY 300X-000 (22925)at Brooklyn CampusInstructed by Laefer, Debra
VIP-UY 300X-000 (17659)at Brooklyn CampusInstructed by Payne, Willie
VIP-UY 300X-000 (17661)at Brooklyn CampusInstructed by Luong, Dung
VIP-UY 300X-000 (17662)at Brooklyn CampusInstructed by
VIP-UY 300X-000 (17663)at Brooklyn CampusInstructed by Zhu, Quanyan
VIP-UY 300X-000 (17664)at Brooklyn CampusInstructed by Knox, Michael
VIP-UY 300X-000 (17665)at Brooklyn CampusInstructed by Knox, Michael
VIP-UY 300X-000 (17666)at Brooklyn CampusInstructed by Silverman, Andrea
VIP-UY 300X-000 (17667)at Brooklyn CampusInstructed by Laefer, Debra
VIP-UY 300X-000 (17668)at Brooklyn CampusInstructed by Bill, Victoria G
VIP-UY 300X-000 (17669)at Brooklyn CampusInstructed by Strauss, Fred
VIP-UY 300X-000 (17670)at Brooklyn CampusInstructed by Bill, Victoria G
VIP-UY 300X-000 (17671)at Brooklyn CampusInstructed by Behera, Rakesh Kumar
VIP-UY 300X-000 (17672)at Brooklyn CampusInstructed by Borowiec, Joseph
VIP-UY 300X-000 (17674)at Brooklyn CampusInstructed by DiZinno, Nicholas A.
VIP-UY 300X-000 (17675)at Brooklyn CampusInstructed by Kim, Jin Ryoun
VIP-UY 300X-000 (17677)at Brooklyn CampusInstructed by Feng, Chen
VIP-UY 300X-000 (17678)at Brooklyn CampusInstructed by Levicky, Rastislav
VIP-UY 300X-000 (17679)at Brooklyn CampusInstructed by Frenkel, Matthew
VIP-UY 300X-000 (17680)at Brooklyn CampusInstructed by Piantella, Benedetta · DesPortes, Kayla
VIP-UY 300X-000 (17681)at Brooklyn CampusInstructed by Lee, Heather · Ludden, David
VIP-UY 300X-000 (17775)at Brooklyn CampusInstructed by Youngerman, Ethan
VIP-UY 300X-000 (17776)at Brooklyn CampusInstructed by Hurst, Amy
This course explores sound as an art form and technical practice in its own right. Topics include contemporary techniques in composition, sound art, and interactive installation. Students will produce sound with narrative elements that evoke social, cultural & critical-thinking. Their final projects can be experimental podcasts, music (performance and/or recordings), multi-channel audio installations, or multimedia projects. | Prerequisite: DM-UY 1113 or MPATE-UE 1001
Integrated Digital Media (Undergraduate)
3 credits – 14 Weeks
DM-UY 3113-000 (12650)09/03/2024 – 12/12/2024 Tue,Thu4:00 PM – 5:00 PM (Late afternoon)at Brooklyn CampusInstructed by O’Keefe, Timothy
This course covers the concepts, techniques, algorithms, and state-of-the-art approaches for robot localization, mapping, and planning. The course starts from basic concepts in 2D kinematics and probability and then introduces probabilistic approaches for data fusion. Then, the course introduces the trajectory planning problem in the time domain and free space. The motion planning problem is defined in a canonical version of the problem and the concept of configuration space is introduced. A selection of representative planning techniques is covered from probabilistic to heuristic techniques. Finally, some mapping representations and algorithms are presented. | Prerequisite: CS-UY 1114 and MA-UY 2034 and PH-UY 1013 or equivalents (see Minor in Robotics)
Robotics (Undergraduate)
3 credits – 14 Weeks
ROB-UY 3303-000 (19176)09/05/2023 – 12/15/2023 Mon,Wed2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by Loianno, Giuseppe
Extracting, transforming and analyzing data in myriad formats. Using traditional relational databases as well as non-relational databases to store, manipulate, and query data. Students will learn how to work with data by writing custom programs, creating queries, and using current data analysis tools and libraries… all on a wide array of data sets. Additional related topics will be covered, such as data modeling, cloud databases, and API programming.
Computer Science (Undergraduate)
4 credits – 15 Weeks
CSCI-UA 479-000 (21440)09/02/2021 – 12/14/2021 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Versoza, Joseph
Students that successfully complete CSCI-UA 467 Applied Internet Technology are not eligible to take CSCI-UA 61 Web Development and Programming. Applied Internet Technology is a practical introduction to creating modern web applications. It covers full-stack (that is, every aspect of building a database driven web application: server programming, database implementation, frontend markup, styling and interactivity) web development. It includes topics such as database and data model design, web application architecture, separation of logic and presentation, handling user input and processing form data, managing asynchronous processes, strategies for creating real-time web applications, and handling client-side interactivity. Students will use current server and client-side web frameworks and libraries to build dynamic, data-driven sites. Various applications to support development will also be introduced, such as version control, static analysis tools, and build systems.
Computer Science (Undergraduate)
4 credits – 15 Weeks
CSCI-UA 467-000 (20859)01/24/2022 – 05/09/2022 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Versoza, Joseph · Wu, Haodong
CSCI-UA 467-000 (20860)01/24/2022 – 05/09/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Versoza, Joseph · Ngo, Yona · Wu, Haodong
An introduction to the peoples, cultures, and histories of the Middle East from the rise of Islam to the 20th century, surveying the development of political and social institutions and exploring the emergence of key intellectual currents, political and religious varieties, and cultural trends within what is often wrongly construed as a monolithic regional culture. We explore a range of literary, architectural, artistic, and scientific sources from pre-modern and modern Islamicate societies and study of the daily lives and contributions of Muslims and non-Muslims alike, highlighting a multi-layered representation of complex and vibrant Middle Eastern societies.
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
CORE-UA 9511-000 (23964)08/30/2021 – 12/10/2021 Tue,Thu9:00 AM – 11:00 AM (Morning)at NYU Shanghai (Global)Instructed by
CORE-UA 9511-000 (23965)08/30/2021 – 12/10/2021 Mon9:00 AM – 10:00 AM (Morning)at NYU Shanghai (Global)Instructed by
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
CORE-UA 541-000 (21350)
CORE-UA 541-000 (21351)09/02/2021 – 12/14/2021 Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
CORE-UA 541-000 (21352)09/02/2021 – 12/14/2021 Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by
CORE-UA 541-000 (21353)09/02/2021 – 12/14/2021 Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Quinton, Laura
CORE-UA 541-000 (21354)09/02/2021 – 12/14/2021 Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Quinton, Laura
CORE-UA 541-000 (21355)09/02/2021 – 12/14/2021 Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by
CORE-UA 541-000 (21356)09/02/2021 – 12/14/2021 Wed4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by
CORE-UA 541-000 (24148)09/02/2021 – 12/14/2021 Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Quinton, Laura
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
CORE-UA 543-000 (21305)
CORE-UA 543-000 (21306)09/02/2021 – 12/14/2021 Tue8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
CORE-UA 543-000 (21307)09/02/2021 – 12/14/2021 Tue9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by
CORE-UA 543-000 (21308)09/02/2021 – 12/14/2021 Tue8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by
CORE-UA 543-000 (21309)09/02/2021 – 12/14/2021 Tue9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by
Visualization and visual analytics systems help people explore and explain data by allowing the creation of both static and interactive visual representations. A basic premise of visualization is that visual information can be processed at a much higher rate than raw numbers and text. Well-designed visualizations substitute perception for cognition, freeing up limited cognitive/memory resources for higher-level problems. This course aims to provide a broad understanding of the principals and designs behind data visualization. General topics include state-of-the-art techniques in both information visualization and scientific visualization, and the design of interactive/web-based visualization systems. Hands on experience will be provided through popular frameworks such as matplotlib, VTK and D3.js.
Ctr for Urban Sci and Progress (Graduate)
3 credits – 15 Weeks
CUSP-GX 6006-000 (7543)01/23/2023 – 05/08/2023 Wed8:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by Sun, Qi
The course targets current and future urban practitioners looking to harness the power of data in urban practice and research. This course builds the practical skillset and tools necessary to address urban analytics problems with urban data. It starts with essential computational skills, statistical analysis, good practices for data curation and coding, and further introduces a machine learning paradigm and a variety of standard supervised and unsupervised learning tools used in urban data science, including regression analysis, clustering, and classification as well as time series analysis. After this class, you should be able to formulate a question relevant to Urban Data Science, locate and curate an appropriate data set, identify and apply analytic approaches to answer the question, obtain the answer and assess it with respect to its certainty level as well as the limitations of the approach and the data. The course will also contain project-oriented practice in urban data analytics, including relevant soft skills – verbal and written articulation of the problem statement, approach, achievements, limitations, and implications.
Ctr for Urban Sci and Progress (Graduate)
3 credits – 15 Weeks
CUSP-GX 1003-000 (23062)09/02/2021 – 12/14/2021 Tue6:00 PM – 7:00 PM (Evening)at ePolyInstructed by Sobolevsky, Stanislav
This course equips students with the skills and tools necessary to address applied data science problems with a specific emphasis on urban data. Building on top of the Principles of Urban Informatics (prerequisite for the class) it further introduces a wide variety of more advanced analytic techniques used in urban data science, including advanced regression analysis, time-series analysis, Bayesian inference, foundations of deep learning and network science. The course will also contain a team data analytics project practice. After this class the students should be able to formulate a question relevant to urban data science, find and curate an appropriate data set, identify and apply analytic approaches to answer the question, obtain the answer and interpret it with respect to its certainty level as well as the limitations of the approach and the data.
Ctr for Urban Sci and Progress (Graduate)
3 credits – 15 Weeks
CUSP-GX 6001-000 (7539)01/23/2023 – 05/08/2023 Thu2:00 PM – 4:00 PM (Early afternoon)at Brooklyn CampusInstructed by Sobolevsky, Stanislav
CUSP-GX 6001-000 (7540)01/23/2023 – 05/08/2023 Thu5:00 PM – 7:00 PM (Late afternoon)at Brooklyn CampusInstructed by Sobolevsky, Stanislav
The UCSL at CUSP is a series of online sessions designed to build a common skillset and familiarity with techniques, concepts, and models for urban informatics computing. The online sessions focus on data explorations, programming skills and statistical methods needed for scientific computing in the field of Urban Informatics.
Ctr for Urban Sci and Progress (Graduate)
3 credits – 15 Weeks
CUSP-GX 1001-000 (7738)at Brooklyn CampusInstructed by Balestra, Martina
This class builds upon the techniques of the recording studio and the techniques of producing recorded music begun in Engineering the Record I, IIand Producing the Record Side A and B and will explore advanced techniques used in surround and immersive sound recording and mixing. Today, surround and immersive audio can be found in all areas of popular entertainment: music, film, television, streaming, games, etc. By using the multichannel studio facilities of the Clive Davis Institute of Recorded Music, students will further learn to record and mix in surround and immersive audio formats. Assigned work will take place in Studio 1 and Studio 4.
Recorded Music (Undergraduate)
2 credits – 15 Weeks
REMU-UT 1013-000 (22415)09/02/2021 – 12/14/2021 Tue11:00 AM – 1:00 PM (Morning)at Brooklyn CampusInstructed by Anderson, Jim
Flash Frames explores the moving image, the pixel, color, and composition, through two weekends of intensive, hands on image fabrication. Students gain a coherent understanding of the technicalities involved in producing artistic and professional quality videos. The workshop applies technical and creative approaches to capturing video, editing, and adding the finishing touches on short productions. Projects are focused on strengthening design and editing skills, understanding media management practices, applying video effects, color correction, motion graphics, and sound. Students broaden their understanding of digital design and video production, while learning the basics of video editing, animation, sound mixing, and motion graphics.
Open Arts Curriculum (Graduate)
1 credits – 16 Weeks
OART-GT 2147-000 (7451)