Spring 2023 PhD Course Info
Important Information:
- The official Spring 2023 Class Roster is available. You will be able to review this listing of courses offered for Spring 2023 by filtering by Location for “Cornell Tech”.
- Limited seats are reserved for PhD Students in Master’s classes. Please note additional seats will be added overall to those classes in January as well as a waitlist in case you are unable to directly enroll during Pre-Enrollment.
- Spring Regular Enrollment will allow you a second opportunity to enroll in classes and make schedule changes closer to the start of classes. Spring 2023 Regular Enrollment will begin on January 17th, 2023 at 9:00am (ET).
- Class meeting patterns, times, grading basis, prerequisites, etc. are published on the official Class Roster.
- ACTION REQUIRED: Please review your Student Center for any existing holds which may impact your enrollment ability (i.e. Bursar holds, etc).
- Course Enrollment information such as how to add/drop/swap, cross listing enrollment tips, wait list processing, etc are all indicated on our General Enrollment Guide page. Please make sure to review this as well!
- Further updates will be announced and updated on this page as we approach the Spring semester.
Spring 2022 PhD Classes
Below is a listing of all finalized offerings – courses that are Streamed from Ithaca are noted below. Please be mindful attendance in person is required for all courses (both in NYC & streamed Ithaca. Classrooms will be assigned to each section).
During enrollment, please make sure to enroll in the LOCATION as “TECH” sections (030, 031, etc) – you will not have access to enroll in Ithaca sections (i.e. 001, 002, etc.)!
Class Number | Course Name | Faculty | Notes |
CS 6382 | Data Science for Social Change | Emma Pierson | Taught in NYC |
CS 6741 | Topics in Natural Language Processing and Machine Learning | Alexander Rush | Taught in NYC |
CS 6785 | Deep Probabilistic and Generative Models | Volodymr Kuleshov | Taught in NYC |
CS 6831 | Designing Secure Cryptography | Thomas Ristenpart | Taught in NYC |
CS 7670 | Special Topics in Computer Vision | Tal Ayellet | Taught in NYC |
CS 7794 | Seminar in NLP | Alexander Rush | Taught in NYC |
ECE 6960 | Special Topics: Interpretable Machine Learning | Mert Sabuncu | Taught in NYC |
INFO 6755/CS 6755 | Mobile Human Robot Interaction Design | Wendy Ju | Taught in NYC |
ORIE 6217/ CS 6384 | Applied Bayesian Analysis for Computational Research | Nikhil Garg | Taught in NYC |
CS 6110 | Advanced Programming Languages | Alexandra Silva |
Streamed from Ithaca
|
CS 6682 | Computation for Content Creation | A. Davis |
Streamed from Ithaca
|
CS 6700 | Advanced Artificial Intelligence | B. Selman |
Streamed from Ithaca
|
CS 6740 /INFO 6300 | Advanced Language Technologies | L. Lee |
Streamed from Ithaca
|
CS 6789 | Foundations of Reinforcement Learning | W. Sun |
Streamed from Ithaca
|
CS 6850/INFO 6850 | The Structure of Information Networks | J. Kleinberg |
Streamed from Ithaca
|
INFO 6010 | Computational Methods IS Res | David Mimno |
Streamed from Ithaca
|
INFO 6600 | Tech for Underserved Communities | Aditya Vashistha |
Streamed from Ithaca
|
INFO 6610 | Text and Networks in Social Science Research | W. Hobbs |
Streamed from Ithaca
|
INFO 6960 | Data Science for Global Development | A. Koenecke |
Bloomberg 397; streamed from Ithaca
|
ORIE 7191 | Selected Topics in Applied OR | Manxi Wu |
Streamed from Ithaca
|