For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
Category Archives: Liberal Arts & Sciences – Electives
All Liberal Arts Elective Courses: Quantitative Reasoning, Physical Science OR Life Science, Societies & the Social Sciences, Expressive Culture, General Liberal Arts Electives
Physical Science: How Things Work (CORE-UA 214)
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
Physical Science: Energy & The Environment (CORE-UA 203)
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
Physical Science: Einstein’s Universe (CORE-UA 204)
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 2024)
CORE-UA 204-000 (10451)01/22/2024 – 05/06/2024 Tue,Thu11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Kim, Jayme
CORE-UA 204-000 (10452)01/22/2024 – 05/06/2024 Tue12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by
CORE-UA 204-000 (10453)01/22/2024 – 05/06/2024 Tue2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by
CORE-UA 204-000 (10454)01/22/2024 – 05/06/2024 Tue3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by
CORE-UA 204-000 (10455)01/22/2024 – 05/06/2024 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by
CORE-UA 204-000 (10456)01/22/2024 – 05/06/2024 Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by
CORE-UA 204-000 (10457)01/22/2024 – 05/06/2024 Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by
CORE-UA 204-000 (10458)01/22/2024 – 05/06/2024 Wed12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by
CORE-UA 204-000 (10459)01/22/2024 – 05/06/2024 Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by
Quantitative Reasoning: Math & Computing (CORE-UA 109)
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
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
Quantitative Reasoning: Elementary Statistics (CORE-UA 105)
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
Artificial Intelligence (CSCI-UA 472)
Prerequisite: V22.0201 and V22.0310. There are many cognitive tasks that people can do easily and almost unconsciously but that have proven extremely difficult to program on a computer. Artificial intelligence is the problem of developing computer systems that can carry out these tasks. We will focus on three central areas in AI: representation and reasoning, machine learning, and natural language processing.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
CSCI-UA 472-000 (20848)01/24/2022 – 05/09/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Davis, Ernest · Deshpande, Sahil
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
Operating Systems (CSCI-UA 202)
This course covers the principles and design of operating systems. Topics include process scheduling and synchronization, deadlocks, memory management including virtual memory, input-output and file systems. Programming assignments.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
CSCI-UA 202-000 (7818)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Walfish, Michael
CSCI-UA 202-000 (9186)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Gottlieb, Allan
CSCI-UA 202-000 (20844)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Gottlieb, Allan
Basic Algorithms (CSCI-UA 310)
Prerequisites: Data Structures (CSCI-UA 102); Discrete Mathematics (MATH-UA 120); and either Calculus I (MATH-UA 121) OR Math for Economics I (MATH-UA 211). An introduction to the study of algorithms. Two main themes are presented: designing appropriate data structures, and analyzing the efficiency of the algorithms which use them. Algorithms for basic problems are studied. These include sorting, searching, graph algorithms and maintaining dynamic data structures. Homework assignments, not necessarily involving programming.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
CSCI-UA 310-000 (7819)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Regev, Oded
CSCI-UA 310-000 (7820)01/24/2022 – 05/09/2022 Mon12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Song, Min Jae
CSCI-UA 310-000 (7821)01/24/2022 – 05/09/2022 Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Regev, Oded
CSCI-UA 310-000 (8906)01/24/2022 – 05/09/2022 Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Fenteany, Peter
CSCI-UA 310-000 (9912)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Nassajianmojarrad, Seyed · Mundra, Jaya
CSCI-UA 310-000 (9913)01/24/2022 – 05/09/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Jin, Yifan
CSCI-UA 310-000 (20845)01/24/2022 – 05/09/2022 Mon12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Karthikeyan, Harish
CSCI-UA 310-000 (20846)01/24/2022 – 05/09/2022 Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Agarwal, Ishan
CSCI-UA 310-000 (10617)01/24/2022 – 05/09/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Zhao, Xinyi
Computer Systems Org (CSCI-UA 201)
This course covers the internal structure of computers, machine (assembly) language programming, and the use of pointers in high-level languages. Topics include the logical design of computers, computer architecture, the internal representation of data, instruction sets, and addressing logic, as well as pointers, structures, and other features of high-level languages that relate to assembly language. Programming assignments will be both in assembly language and other languages.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
CSCI-UA 201-000 (7816)01/24/2022 – 05/09/2022 Mon,Wed9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Moody, Douglas L
CSCI-UA 201-000 (7817)01/24/2022 – 05/09/2022 Tue9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by R D, Harshitha
CSCI-UA 201-000 (9059)01/24/2022 – 05/09/2022 Mon,Wed11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Goldberg, Benjamin
CSCI-UA 201-000 (9060)01/24/2022 – 05/09/2022 Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Viswanathan, Adithya
CSCI-UA 201-000 (9188)01/24/2022 – 05/09/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Aljabbouli, Hasan
CSCI-UA 201-000 (9189)01/24/2022 – 05/09/2022 Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Gurrala, Jaya Amit Sai
CSCI-UA 201-000 (20841)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Franchitti, Jean-Claude
CSCI-UA 201-000 (20842)01/24/2022 – 05/09/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Gurrala, Jaya Amit Sai
CSCI-UA 201-000 (9910)01/24/2022 – 05/09/2022 Tue9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Iyer, Shraddha
CSCI-UA 201-000 (9384)01/24/2022 – 05/09/2022 Thu4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Zare, Samvid Avinash
CSCI-UA 201-000 (9911)01/24/2022 – 05/09/2022 Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Pabba, Rishika
CSCI-UA 201-000 (20843)01/24/2022 – 05/09/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by He, Yang
Web Development and Programming (CSCI-UA 61)
Students that have successfully completed CSCI-UA 467 Applied Internet Technology are not eligible to take CSCI-UA 61 Web Development and Programming. This course will provide a practical approach to web technologies and programming. Students will build interactive, secure and powerful web programs. This course will cover client and server side technologies for the web.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
CSCI-UA 61-000 (8622)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Kapp, Craig
Data Structures (CSCI-UA 102)
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 (Spring 2022)
CSCI-UA 102-000 (20828)01/24/2022 – 05/09/2022 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Korth, Evan · Vataksi, Denisa
CSCI-UA 102-000 (20833)01/24/2022 – 05/09/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Vieira, Diogo
CSCI-UA 102-000 (20830)01/24/2022 – 05/09/2022 Tue,Thu2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Bari, Anasse · Rao, Sindhuja
CSCI-UA 102-000 (20834)01/24/2022 – 05/09/2022 Wed4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Mavi, Vaibhav
CSCI-UA 102-000 (20831)01/24/2022 – 05/09/2022 Tue,Thu9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Klukowska, Joanna · Khatri, Riju
CSCI-UA 102-000 (20832)01/24/2022 – 05/09/2022 Mon11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Ilamathy, Swarna Swapna
CSCI-UA 102-000 (20829)01/24/2022 – 05/09/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Bharti, Sweta
CSCI-UA 102-000 (20835)01/24/2022 – 05/09/2022 Wed4:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Shah, Vivek
CSCI-UA 102-000 (20836)01/24/2022 – 05/09/2022 Mon11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Muni, Sumanth Reddy
CSCI-UA 102-000 (20837)01/24/2022 – 05/09/2022 Mon8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by DiGiovanni, Lauren
CSCI-UA 102-000 (20838)01/24/2022 – 05/09/2022 Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by R D, Harshitha
CSCI-UA 102-000 (20839)01/24/2022 – 05/09/2022 Mon2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Ilamathy, Swarna Swapna
CSCI-UA 102-000 (20840)01/24/2022 – 05/09/2022 Wed2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Cappadona, Joseph
Database Design and Implementation (CSCI-UA 60)
Students that have successfully completed CSCI-UA 479 Data Management and Analysis are not eligible to take CSCI-UA 60 Database Design and Implementation. Introduces principles and applications of database design and working with data. Students use python as they prepare, analyze and work with data; SQL to study the principles and implementations of relational databases; and are introduced to other database paradigms such as NoSQL. Students apply these principles to computer systems in general and in their respective fields of interest.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
CSCI-UA 60-000 (7808)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Bloomberg, Amos
Introduction to Web Design and Computer Principles (CSCI-UA 4)
Prerequisite: Three years of high school mathematics or equivalent. No prior computing experience is assumed. Students with computing experience should consult with the computer science department before registering. Offered every semester. 4 points. This course introduces students to both the practice of web design and the basic principles of computer science. The practice component of the course covers not only web design but also current graphics and software tools. The principles section includes an overview of hardware and software, the history of computers, and a discussion of the impact of computers and the internet.
Computer 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
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
Understanding Story (OART-UT 568)
Understanding Story is a class composed of lectures, discussions, screenings, readings, critical and creative writing, group critiques and presentations. The course is designed to expose the student to the fundamental principles of storytelling across a spectrum of mediums, including the written story, playwriting, film, poetry, dance, games, photography, fine art and music. How do all these different art forms tell stories? How can the student apply what is learned to their own creative work? History and theory of story will be studied and used to inspire personal and creative work in order to better understand how story can most successfully be expressed in different mediums and reach its audience.
Open Arts Curriculum (Undergraduate)
4 credits – 15 Weeks
Sections (Fall 2022)
OART-UT 568-000 (14319)09/01/2022 – 12/14/2022 Mon3:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Limoncelli, Rosanne
Intro to Game Studies (OART-UT 1606)
This class is an overview of the field of video games that approaches them from several theoretical and critical perspectives. No special theoretical background or prior training is needed to take the course, but to have had a broad practical experience with and basic knowledge of games is a distinct advantage. Also, an interest in theoretical and analytical issues will help. You are expected to actively participate in the lectures, which are dialogic in form, with ample room for discussion. The course will prepare the student to: – Understand and discuss games from a theoretical perspective – what are the components of a game? – Apply new theories and evaluate them critically. – Assess and discuss game concepts and the use of games in various contexts. – Analyze games, and understand and apply a range of analytical methods.
Open Arts Curriculum (Undergraduate)
4 credits – 15 Weeks
Sections (Fall 2022)
OART-UT 1606-000 (14537)09/01/2022 – 12/14/2022 Tue4:00 PM – 6:00 PM (Late afternoon)at Brooklyn CampusInstructed by Pratt, Charles
OART-UT 1606-000 (14534)09/01/2022 – 12/14/2022 Thu9:00 AM – 11:00 AM (Morning)at Brooklyn CampusInstructed by Pratt, Charles
OART-UT 1606-000 (14535)09/01/2022 – 12/14/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Brooklyn CampusInstructed by Pratt, Charles
Television: History and Form (MCC-UE 9006)
An exploration of television as a medium of information, conveyor and creator of culture and a form of aesthetic expression. Course examines the historical development of television as both a cultural product and industry.
Media, Culture & Communication (Undergraduate)
4 credits – 14 Weeks
Sections (Fall 2025)
MCC-UE 9006-000 (10997)08/28/2025 – 12/04/2025 Wed3:00 PM – 6:00 PM (Late afternoon)at NYU Los Angeles (Global)Instructed by Connelly, Thomas
Introduction to Media Studies (MCC-UE 9001)
Credits: 4
Duration: 14 Weeks
Dates: Tue,Thu
Duration: 14 Weeks
Dates: Tue,Thu
Media, Culture & Communication (Undergraduate)
4 credits – 14 Weeks