Student Events

This course covers the basics of graph neural networks (GNNs), including graph  convolutional networks, graph attention networks and graph wavelet networks. The  session aims to provide a solid understanding of GNN modeling for machine  learning practitioners, data scientists, and anyone interested in AI advancements. 

In this course, you will learn how to harness the power of OSMnx, a Python library for extracting and visualizing Open Street Maps data. Through hands-on exercises, you will gain practical experience in using OSMnx to model and simulate projects and have a solid understanding of this Python library and be able to apply OSMnx to real-world problems.

We show how to stabilize a polynomial reaction diffusion system using boundary control, integration by parts, completing the square and an infinite dimensional extension of Al'brekht's method. Presented by Alfred

C2SMARTER welcomes new and returning transportation students to the Fall 2023 academic year with a kick-off event. Learn about C2SMARTER, meet the faculty, and see the space. Come learn more

Instructor: Haggai D. Davis, III, New York University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday Oct 13th, 11:30am-12:30pm Description: Machine learning is an incredibly broad term

Instructor: Vidisha Chowdhury, University of Pennsylvania & Philippe Schicker, Carnegie Mellon University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday October 20th, 12-1 pm Description: Google Earth

Instructor: Yuhao Liu, NYU Shanghai Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday Oct 27th, 12-1pm Description: This course is designed to equip the audience with the

C2SMARTER'S Dr. Jingqin Gao will moderate a discussion with Prof. Gabriela Gongora-Svartzman from Carnegie Mellon University. In this insightful fireside talk, we explore the synergy between data-driven careers, industry, and

Instructor: Vivian Otieno, Texas Southern University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday November 10th, 12-1pm Description: Essentials of Data Acquisition for Transportation Analysis involves the

Chris is a transportation planning professional with over 10 years of experience in the industry. He has led both regional and statewide transportation planning efforts, as well as managed several

Instructor: Ziyue Feng, New York University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Thursday, March 28th, 12:00 pm -1:00 pm ET Description: Databases have become indispensable in