AI Course List

Choose from diverse AI courses that shape future technology. Dive into machine learning, natural language processing, computer vision, and more, guided by expert faculty.

New Minor

The new AI minor will teach underlying mechanisms of AI, including basic understanding of machine learning, automated reasoning, and ethical implications arising with human interactions.

Available AI Courses at Cornell University as of Spring 2024

TIP: Swipe left-right on the table to view all columns.

Course Level	AI Focus Area	Course Name
Undergraduate	Scientific Discovery	CS 2770 / INFO 2770 / AEM 2770 - Excursions in Computational Sustainability
Undergraduate	Ethics, Law, and Policy	ANTHR 3061 / COMM 3560 / INFO 3561 / STS 3561 / VISST 3560 - [Computing Cultures]
Master	Society and Institutions	BANA 5210 - Natural Language Processing in Finance
Master	Society and Institutions	BANA 5250 - Machine Learning for Investment
Ph.D.	Society and Institutions	BANA 6920 - Machine Learning Applications in Business
Undergraduate	Autonomous Systems	BEE 3900 - Bio-Robotics
Undergraduate	Health and Medicine	BEE 4630 - Digital Food Physics and Engineering
Master	Autonomous Systems	BEE 5900 - Bio-Robotics
Ph.D.	Health and Medicine	BEE 6630 - Digital Food Physics and Engineering
Ph.D.	Scientific Discovery	BEE 6880 / CEE 6880 - Applied Modeling and Simulation for Renewable Energy Systems
Undergraduate	Health and Medicine	BIOCB 4381 - Biomedical Data Mining and Modeling
Undergraduate	Health and Medicine	BIOCB 4840 / CS 4775- Computational Genetics and Genomics
Ph.D.	Health and Medicine	BIOCB 6381 - Biomedical Data Mining and Modeling
Ph.D.	Health and Medicine	BIOCB 6840 - Computational Genetics and Genomics
Ph.D.	Health and Medicine	BIOCB 7200 - Statistical and Computational Genetics
Undergraduate	Cognition	BIONB 3300 / BME 3300 / COGST 3300 /PSYCH 3300 [Introduction to Computational Neuroscience]
Master	Health and Medicine	BME 5780 / ECE 6690 - Computer Analysis of Biomed Images
Undergraduate	Autonomous Systems	CEE 4665 - Modeling and Optimization for Smart Infrastructure Systems
Master	Autonomous Systems	CEE 5665 - Modeling and Optimization for Smart Infrastructure Systems
Ph.D.	Reasoning	CHEME 6800 / SYSEN 6800 - [Computational Optimization]
Ph.D.	Scientific Discovery	CHEME 6880 / SYSEN 6880 - Industrial Big Data Analytics and Machine Learning
Ph.D.	Scientific Discovery	CHEME 6888 / SYSEN 6888 - Deep Learning
Undergraduate	Natural Language Processing	COGST 4240 / CS 4744 / LING 4424 - Computational Linguistics I
Undergraduate	Natural Language Processing	COGST 4740 / CS 4740 / LING 4474 - Natural Language Processing
Ph.D.	Natural Language Processing	COGST 7710 / LING 7710 - Computational Seminar
Undergraduate	Ethics, Law, and Policy	COML 1106 - FWS: Robots
Undergraduate	Human-AI Interaction	COMM 2450 / INFO 2450 - Communication and Technology
Undergraduate	Human-AI Interaction	COMM 3450 / INFO 3450 - Human-Computer Interaction Design
Undergraduate	Human-AI Interaction	COMM 4450 / INFO 4450- Computer-Mediated Communication
Undergraduate	Natural Language Processing	COMM 4500 / INFO 4500 - Language and Technology
Ph.D.	Human-AI Interaction	COMM 6450 / INFO 6450 - Computer-Mediated Communication
Undergraduate	Society and Institutions	CRP 4680 / DESIGN 4680 - Introduction to Urban Data Science: Data, Interpretation, and Presentation
Master	Society and Institutions	CRP 5680 / DESIGN 5680 - Introduction to Urban Data Science: Data, Interpretation, and Presentation
Undergraduate	Ethics, Law, and Policy	CS 1340 / INFO 1260 - Choices and Consequences in Computing
Undergraduate	Reasoning	CS 1700 - Elements of Artificial Intelligence
Undergraduate	Natural Language Processing	CS 1700 - Elements of Artificial Intelligence
Undergraduate	Machine Learning	CS 1700 - Elements of Artificial Intelligence
Undergraduate	Computer Vision	CS 1700 - Elements of Artificial Intelligence
Undergraduate	Autonomous Systems	CS 1700 - Elements of Artificial Intelligence
Undergraduate	Computer Vision	CS 4670 - Introduction to Computer Vision
Undergraduate	Reasoning	CS 4700 - Foundations of Artificial Intelligence
Undergraduate	Reasoning	CS 4701 - Practicum in Artificial Intelligence
Undergraduate	Natural Language Processing	CS 4701 - Practicum in Artificial Intelligence
Undergraduate	Machine Learning	CS 4701 - Practicum in Artificial Intelligence
Undergraduate	Computer Vision	CS 4701 - Practicum in Artificial Intelligence
Undergraduate	Autonomous Systems	CS 4701 - Practicum in Artificial Intelligence
Undergraduate	Natural Language Processing	CS 4745 / LING 4434 - Computational Linguistics II
Undergraduate	Autonomous Systems	CS 4750 / ECE 4770 / MAE 4760 - Foundations of Robotics
Undergraduate	Autonomous Systems	CS 4754 / INFO 4410 - Re-Designing Robots
Undergraduate	Autonomous Systems	CS 4756 - Robot Learning
Undergraduate	Autonomous Systems	CS 4758 / ECE 4180 / MAE 4180 - [Autonomous Mobile Robots]
Undergraduate	Machine Learning	CS 4780 - Introduction to Machine Learning
Undergraduate	Machine Learning	CS 4783 - Mathematical Foundations of Machine Learning
Undergraduate	Machine Learning	CS 4787 - Principles of Large-Scale Machine Learning Systems
Master	Computer Vision	CS 5670 - Introduction to Computer Vision
Master	Human-AI Interaction	CS 5682 / INFO 6410 - HCI and Design
Master	Reasoning	CS 5700 - Foundations of Artificial Intelligence
Master	Reasoning	CS 5701 - Practicum in Artificial Intelligence
Master	Natural Language Processing	CS 5701 - Practicum in Artificial Intelligence
Master	Machine Learning	CS 5701 - Practicum in Artificial Intelligence
Master	Computer Vision	CS 5701 - Practicum in Artificial Intelligence
Master	Autonomous Systems	CS 5701 - Practicum in Artificial Intelligence
Master	Reasoning	CS 5727 / ORIE 5380 - Optimization Methods
Master	Natural Language Processing	CS 5740 - Natural Language Processing
Master	Autonomous Systems	CS 5750 - Foundations of Robotics
Master	Human-AI Interaction	CS 5755 / INFO 5755 - [Mobile Human Robot Interaction Design]
Master	Autonomous Systems	CS 5756 - Robot Learning
Master	Autonomous Systems	CS 5758 / ECE 5772 / MAE 5180 - [Autonomous Mobile Robots]
Master	Machine Learning	CS 5775 / ECE 5545 - Machine Learning Hardware and Systems
Master	Machine Learning	CS 5777 - Principles of Large-Scale Machine Learning Systems
Master	Machine Learning	CS 5780 - Introduction to Machine Learning
Master	Machine Learning	CS 5781 - Machine Learning Engineering
Master	Machine Learning	CS 5783 - Mathematical Foundations of Machine Learning
Master	Machine Learning	CS 5785 / ECE 5414 / ORIE 5750 - Applied Machine Learning
Master	Machine Learning	CS 5787 - Deep Learning
Master	Machine Learning	CS 5789 - Introduction to Reinforcement Learning
Ph.D.	Computer Vision	CS 6670 - Computer Vision
Ph.D.	Reasoning	CS 6700 - Advanced Artificial Intelligence
Ph.D.	Scientific Discovery	CS 6703 - AI for Science
Ph.D.	Natural Language Processing	CS 6740 - Advanced Language Technologies
Ph.D.	Natural Language Processing	CS 6741 - Topics in Natural Language Processing and Machine Learning
Ph.D.	Natural Language Processing	CS 6742 / INFO 6742 - Natural Language Processing and Social Interaction
Ph.D.	Autonomous Systems	CS 6751 / MAE 6730 - Robot Manipulation
Ph.D.	Autonomous Systems	CS 6752 / MAE 6770 - [Formal Methods for Robotics]
Ph.D.	Human-AI Interaction	CS 6754 / MAE 6710 - Human-Robot Interaction: Algorithms and Experiments
Ph.D.	Human-AI Interaction	CS 6755 / INFO 6755 - [Mobile Human Robot Interaction Design]
Ph.D.	Autonomous Systems	CS 6756 - Learning for Robot Decision Making
Ph.D.	Reasoning	CS 6764 - [Reasoning about Knowledge]
Ph.D.	Reasoning	CS 6766 - [Reasoning about Uncertainty]
Ph.D.	Reasoning	CS 6768 - [Bridging Reasoning and Learning]
Ph.D.	Machine Learning	CS 6780 - Advanced Machine Learning
Ph.D.	Machine Learning	CS 6783 - [Machine Learning Theory]
Ph.D.	Machine Learning	CS 6784 - Advanced Topics in Machine Learning
Ph.D.	Machine Learning	CS 6787 - Advanced Machine Learning Systems
Ph.D.	Computer Vision	CS 7690 - Computer Graphics and Vision Seminar
Ph.D.	Natural Language Processing	CS 7740 - [Special Topics in Natural Language Processing]
Ph.D.	Reasoning	CS 7790 - Seminar in Artificial Intelligence
Ph.D.	Natural Language Processing	CS 7790 - Seminar in Artificial Intelligence
Ph.D.	Machine Learning	CS 7790 - Seminar in Artificial Intelligence
Ph.D.	Computer Vision	CS 7790 - Seminar in Artificial Intelligence
Ph.D.	Autonomous Systems	CS 7790 - Seminar in Artificial Intelligence
Ph.D.	Machine Learning	CS 7792 - Special Topics in Machine Learning
Ph.D.	Natural Language Processing	CS 7794 - Seminar in Natural Language Understanding
Ph.D.	Autonomous Systems	CS 7796 - Robotics Seminar
Ph.D.	Autonomous Systems	DEA 6210 - Architectural Robotics
Undergraduate	Autonomous Systems	ECE 4160 / MAE 4190- Fast Robots
Undergraduate	Machine Learning	ECE 4200 - Fundamentals of Machine Learning
Undergraduate	Computer Vision	ECE 4230 - Computer Vision
Undergraduate	Autonomous Systems	ECE 4240 / MAE 4810 - Robot Perception
Master	Autonomous Systems	ECE 5160 / MAE 5190 - Fast Robots
Master	Autonomous Systems	ECE 5240 / MAE 5810- Robot Perception
Master	Machine Learning	ECE 5420 - Fundamentals of Machine Learning
Master	Computer Vision	ECE 5470 - Computer Vision
Ph.D.	Machine Learning	ECE 6350 - [Interpretable and Explainable Machine Learning]
Ph.D.	Machine Learning	ECE 6630 - Information Theory for Data Transmission, Security and Machine Learning
Ph.D.	Machine Learning	ECE 6645 - Statistical Signal Processing and Reinforcement Learning
Ph.D.	Machine Learning	ECE 7785 - Machine Learning Hardware and Systems
Ph.D.	Machine Learning	ECON 7240 - Causal Inference and Machine Learning
Ph.D.	Society and Institutions	HADM 6750 - Machine Learning for Business and Hospitality Applications
Undergraduate	Ethics, Law, and Policy	INFO 1200 / STS 1201 - Information Ethics, Law, and Policy
Undergraduate	Cognition	INFO 3140 / COGST 3140 / PSYCH 3140 - Computational Psychology
Undergraduate	Natural Language Processing	INFO 4350 - Conversations and Information
Undergraduate	Ethics, Law, and Policy	INFO 4390 - Practical Principles for Designing Fair Algorithms
Master	Society and Institutions	INFO 5001 - Computing for Information Science
Master	Society and Institutions	INFO 5330 - Technology, Media, and Democracy
Master	Human-AI Interaction	INFO 5355 - Human Computer Interaction Design
Master	Human-AI Interaction	INFO 5356 - Introduction to Human-Robot Interaction
Master	Ethics, Law, and Policy	INFO 5365 - Responsible AI
Master	Machine Learning	INFO 5368 - Practical Applications in Machine Learning (PAML)
Master	Health and Medicine	INFO 5375 - Machine Learning for Health
Master	Human-AI Interaction	INFO 5450 - Computer-Mediated Communication
Master	Health and Medicine	INFO 5600 - AI for Healthcare
Master	Health and Medicine	INFO 5610 - Sensors, Systems and Algorithms for Precision Behavioral Health
Ph.D.	Society and Institutions	INFO 6010 - Computational Methods for Information Science Research
Ph.D.	Human-AI Interaction	INFO 6120 - Ubiquitous Computing
Ph.D.	Health and Medicine	INFO 6130 - Health and Computation
Ph.D.	Cognition	INFO 6140 / COGST 6140 / PSYCH 6140 - Computational Psychology
Ph.D.	Natural Language Processing	INFO 6350 - Text Mining History and Literature
Ph.D.	Human-AI Interaction	INFO 6410 / CS 5682- HCI and Design
Ph.D.	Autonomous Systems	INFO 6420 - Re-Designing Robots
Ph.D.	Ethics, Law, and Policy	INFO 7060 / LAW 7179 [Digital Life Research Seminar]
Undergraduate	Autonomous Systems	MAE 4710 - Applied Dynamics: Robotics, Vehicles, Machines and Biomechanics
Ph.D.	Human-AI Interaction	CS 6754 / MAE 6710 - Human-Robot Interaction: Algorithms and Experiments
Ph.D.	Society and Institutions	NBA 6920 - Machine Learning Applications in Business
Ph.D.	Society and Institutions	NBA 6921 - Artificial Intelligence for Marketing Strategy
Ph.D.	Society and Institutions	NBAE 6145 - AI Strategy and Applications
Master	Society and Institutions	NBAY 5610 - Demystifying Big Data and FinTech
Ph.D.	Society and Institutions	NBAY 6920 - Machine Learning Applications in Business
Undergraduate	Reasoning	ORIE 3300 - Optimization I
Undergraduate	Reasoning	ORIE 3310 - Optimization II
Undergraduate	Reasoning	ORIE 4340 - Applications of Optimization: Modeling and Computation
Undergraduate	Society and Institutions	ORIE 4390 - Optimization Models for Logistics, Networks, and Markets
Undergraduate	Machine Learning	ORIE 4741 - Learning with Big Messy Data
Undergraduate	Society and Institutions	ORIE 4742 - [Info Theory, Probabilistic Modeling, and Deep Learning with Scientific and Financial Apps]
Master	Machine Learning	ORIE 5270 - Big Data Technologies
Master	Reasoning	ORIE 5300 - Optimization I
Master	Reasoning	ORIE 5310 - Optimization II
Master	Reasoning	ORIE 5340 - Applications of Optimization: Modeling and Computation
Master	Society and Institutions	ORIE 5370 - Optimization Modeling in Finance
Master	Society and Institutions	ORIE 5390 - Optimization Models for Logistics, Networks, and Markets
Master	Machine Learning	ORIE 5741 - Learning with Big Messy Data
Ph.D.	Reasoning	ORIE 6360 - [Optimization Under Uncertainty: Robust and Online Models]
Ph.D.	Machine Learning	ORIE 6750 - Optimal Learning
Ph.D.	Reasoning	ORIE 6751 - Data-Driven Optimization Under Uncertainty: Theory, Methods, and Current Trends
Undergraduate	Machine Learning	STSCI 4740 - Data Mining and Machine Learning
Undergraduate	Machine Learning	STSCI 4750 - Understanding Machine Learning
Master	Machine Learning	STSCI 5740 - Data Mining and Machine Learning
Master	Machine Learning	STSCI 5750 - Understanding Machine Learning
Master	Society and Institutions	SYSEN 5880 - Industrial Big Data Analytics and Machine Learning
Master	Machine Learning	SYSEN 5888 - Deep Learning
Master	Machine Learning	TECH 5280 - Productizing Machine Learning

Fill out this form to request for your courses to be added to this list.

Coming Fall 2024:

Minor in Artificial Intelligence

Those enrolled will learn the underlying mechanisms of AI, including basic understanding of machine learning, automated reasoning, and ethical implications arising with human interactions.

Generative AI

In 2023, the Cornell administration assembled a committee to develop guidelines and recommendations for the use of Generative AI for education at Cornell.

Learn more about their findings and pedagogy.

Learn More