Week 1 July 15 to 18
Introduction to Machine Learning
Neural networks, circuits, machine learning, and computer vision.
Program schedule 2026
Schedule
Program hours are 9:00 AM to 4:00 PM on scheduled days. The program meets at Morningside Heights Campus, Mudd Building, Room 706.
Cohort
Daily schedule for 2026
-
toHumanities Lecture3 hours
-
toLunch1 hour
-
toEngineering Lecture3 hours
-
Dismissal
Location
Morningside Heights Campus
Mudd Building, Room 706
Weekly topics
2024 cohort
Week 2 July 22 to 25
Experiments for Students
Object tracking, language models, and object detection with NYC data.
Week 3 July 29 to August 1
Various Topics on Vision and AI
Depth estimation, model evaluation, and edge deployment.
Week 4 August 5 to 8
Advanced Topics and Presentation Prep
AI demonstrations, responsible AI, lesson plan work, and final presentations.
2025 cohort
Week 1 July 14 to 17
Introduction to Machine Learning
Neural networks, circuits, machine learning, and computer vision.
Week 2 July 21 to 23
Experiments for Students
Object tracking, language models, and object detection with NYC data.
Week 3 July 28 to 31
Various Topics on Vision and AI
Depth estimation, model evaluation, and edge deployment.
Week 4 August 4 to 7
Advanced Topics and Presentation Prep
AI demonstrations, responsible AI, lesson plan work, and final presentations.
2026 cohort
Week 1 July 13 to 16
Introduction: From Machine Learning to Agentic AI
Neural networks, circuits, machine learning, computer vision, agentic workflows, and responsible AI.
Week 2 July 20 to 22
Experiments for Students
Object tracking, language models, and object detection with NYC data.
Week 3 July 27 to 30
Various Topics on Vision and AI
Depth estimation, model evaluation, and edge deployment.
Week 4 August 3 to 6
Advanced Topics and Presentation Prep
AI demonstrations, lesson plan work, and final presentations.