Spring 2023 Graduate Course Instruction Modes and Registration Information

Graduate Course Offerings for Spring 2023

The Courant Computer Science department revised our Spring 2023 offerings, following university and CAS guidance, and state and city health and safety guidelines. Each section received an instruction mode designation.

    Online: Faculty and all students are remote; there is no physical classroom.

    Blended: The section or an associated activity (tutorials or project sessions) are partially in-person with rotation of in-person and remote attendance.

    In-Person: The section is in-person with ordinary meetings.

A list of graduate-level courses for each mode can be found below. This list is up-to-date as of October 14, 2022. Course designations may be revised based on the guidance we get from the university. We will inform all registered students promptly if a course designation changes.

For some courses, the in-person component structure and scheduling is not finalized yet; additional information will be posted on the course web pages and in Albert.

Blended

  • CSCI-GA.1170-001 Fundamental Algorithms (online)
    • CSCI-GA.1170-002 Fundamental Algorithms Recitation (in-person)

Online

  • CSCI-GA.2572-001 Deep Learning
    • CSCI-GA.2572-002 Deep Learning Lab
  • CSCI-GA.2820-001 DevOps and Agile Methodologies (Stern TechMBA only)
    • CSCI-GA.2820-002 DevOps and Agile Methodologies Lab (Stern TechMBA only)
  • CSCI-GA.2820-003 DevOps and Agile Methodologies
    • CSCI-GA.2820-004 DevOps and Agile Methodologies Lab

In-Person

  • CSCI-GA.1180-001 Mathematical Techniques for CS Applications
  • CSCI-GA.2110-001 Programming Languages
    • CSCI-GA.2110-002 Programming Languages Recitation
  • CSCI-GA.2250-001 Operating Systems
  • CSCI-GA.2250-002 Operating Systems
  • CSCI-GA.2262-001 Data Communications and Networks
  • CSCI-GA.2270-001 Computer Graphics
  • CSCI-GA.2421-001 Numerical Methods II
  • CSCI-GA.2433-001 Database Systems
  • CSCI-GA.2436-001 Realtime and Big Data Analytics
  • CSCI-GA.2560-001 Artificial Intelligence
  • CSCI-GA.2566-001 Foundations of Machine Learning
  • CSCI-GA.2590-001 Natural Language Processing
  • CSCI-GA.2620-001 Networks & Mobile Systems
  • CSCI-GA.2830-001 The Lean LaunchPad (MS-CEI only)
    • CSCI-GA.2830-002 The Lean LaunchPad Lab (MS-CEI only)
  • CSCI-GA.2945-002 Adv Topics in Num Analysis: High Performance Computing
  • CSCI-GA.2945-003 Adv Topics in Num Analysis: Immersed Boundary for Fluid-Structure Interaction
  • CSCI-GA.3033-029 Special Topics: Social Networks
  • CSCI-GA.3033-034 Special Topics: Multicore Processors: Architecture & Programming
  • CSCI-GA.3033-059 Special Topics: Big Data Science
  • CSCI-GA.3033-076 Special Topics: Vision Meets Machine Learning
  • CSCI-GA.3033-077 Special Topics: Big Data and ML Systems
  • CSCI-GA.3033-085 Special Topics: Cloud and Machine Learning
  • CSCI-GA.3033-097 Special Topics: Virtual Reality
  • CSCI-GA.3033-098 Special Topics in Data Science: Data Science for Healthcare
    • CSCI-GA.3033-198 Special Topics in Data Science: Data Science for Healthcare Lab
  • CSCI-GA.3140-001 Abstract Interpretation
  • CSCI-GA.3205-001 Applied Cryptography & Network Security
  • CSCI-GA.3812-001 Information Technology Projects
  • CSCI-GA.3840-001 Master's Thesis Research
  • CSCI-GA.3850-001 PhD Seminar: Cryptography
  • CSCI-GA.3850-004 PhD Seminar: Formal Methods
  • CSCI-GA.3860-001 PhD Thesis Research

    • Graduate Courses offered in Shanghai

    Please be advised that NYU GoLocal has been discontinued, and is not an option for Spring 2023.

    INTERNATIONAL GRADUATE STUDENTS: MEETING IN-PERSON REQUIREMENTS

    Update 10/14/2022: All international students who are newly enrolled as of Spring 2023 and hope to gain entry to the US for that term should be registered for at least one course during the semester that is not online. Acceptable courses are those whose instructional mode is listed in Albert as "In-Person," "Blended," or "Independent Studies." Essentially, whatever term the student starts in the US cannot be fully online. Please contact the Office of Global Services (OGS) for international students for further guidance.