Connected Cities for Smart Mobility toward Accessible and Resilient Transportation
Instructor: Fan Zuo, New York University Schedule: Friday March 10, 11:00am-12:00pm Description: In this course, you will learn about ChatGPT, a state-of-the-art language model developed by OpenAI. You will gain
Graph Neural Networks (GNNs) are a powerful tool for analyzing and processing graph-structured data. This course covers the basics of GNNs, including graph convolutional networks, graph attention networks and graph wavelet networks, including how they work and how to implement them. The session aims to provide a solid understanding of GNN modeling for machine learning practitioners, data scientists, and anyone interested in AI advancements.
The C2SMART Center and the NYU chapter of the Institute of Transportation Engineers (ITE) are excited to host our annual Women in Transportation Panel Discussion, including an opportunity for attendees to network and socialize. This year's panel boasts three amazing women working in the transportation industry who will share their perspectives and experiences.
In this hands-on course, you’ll learn how to use Unity 3D to build 3D models of road networks. You’ll start with the basics of Unity 3D, including its interface, GameObjects, components, and scripting. From there, you’ll dive into building 3D models of road networks, covering elements such as roads, buildings, and terrain.