This Fall, C2SMART launched the “C2SMART Student Learning Hub”, free for all consortium member students. Lessons will be from a variety of course domains including data science, computer science, and traffic simulation. The Learning Hub will:

Join our student mailing list to hear about upcoming student learning hub courses as they are announced and check out the schedule below!

Spring 2021

Instructor: Zhengbo Zou

Thursday, February 4,  2021, 1:00 PM – 2:00 PM ET

No prior experience required.

This session will provide you a foundational understanding of the use of virtual reality in construction, with a focus on construction safety at work zones. This session is intended for newcomers who are interested in knowing state of the art implementations of virtual reality in the construction domain, and how it can be used to carry out user experiments when dangerous situations are to be simulated for construction safety studies. Finally, you’ll learn through an example of how to create a virtual reality model from an existing building information model. Learn more:

Click here to RSVP

Instructors: Fan Zuo & Sha Di

3 sessions, every Friday at 1 PM EST starting from March 19th, 2021

Prior Experience: Basic Python Skills

Traffic simulation is the mathematical modeling of transportation systems through the application of computer software to better help plan, design, and operate transportation systems. In this course, you will get to know the extensive functions of an open-source, highly portable, microscopic, and continuous road traffic simulation package, Simulation of Urban MObility” (SUMO), which is designed to handle large road networks. You will use SUMO to create your network with traffic signal heads and bus lanes, define vehicle types and trip behaviors, run simulations and generate reports.

Click here to view the course syllabus

Click here to RSVP

Instructor: Suzana Duran Bernardes, NYU

Friday, March 12, 2021 1:00 PM – 2:00 PM ET

No prior experience required.

As you begin your own research, it is important you keep your materials understandable and usable. This session is intended for newcomers to data visualization. In this session, we will demonstrate best practices for data visualization and data storytelling. You will view examples from real world cases. With the hands-on exercise session, you will be able to generate powerful visualizations and dashboards of common data analyses that will help people understand and make decisions based on their data.

Click here to RSVP

Instructor: Gyugeun Yoon, NYU

2 sessions starting April 9, 2021

No prior experience required.

Transit systems are essential to modern urban communities to fulfill the travel demand within or between regions. Thanks to the advance of information and communication technologies (ICTs), transit systems have developed in various directions. This course will cover two subjects: 1) a description of different types of transit operation systems, and 2) an introduction to how to use the open-source simulation (written in MATLAB) shared with the public via Github (


See Recording 1 here.

See Recording 2 here.

Instructor: Chan Yang, Rutgers University, Rutgers Infrastructure Monitoring and Evaluation (RIME) Group

1 session on April 23, 2021.

No prior experience required.

Nowadays, bridges are everywhere, establishing connections between different lands and expediting communications. In the field of bridge engineering, designing a new bridge and evaluating an existing bridge are equally important. This session is intended for novices who are interested in bridge engineering, especially in bridge evaluations. This session will provide you a fundamental understanding of structural health monitoring (SHM), with a focus on the modeling technique using Abaqus software. Live demo as well as the real case studies will be presented in the lecture.


Click here to RSVP.

See recording here.

Fall 2020

7 sessions, every Friday 3 PM EST starting from Oct. 9th, 2020

Instructor: Dr. Yueshuai (Brian) He, New York University

Experience with traffic modeling is useful, but not required.

This workshop provides a detailed introduction to the MATSim-NYC model developed by C2SMART Center and teaches how to extend the base model to incorporate new scenarios as well as how to duplicate the development of the model to other cities. The MATSim-NYC model is a city-scale simulation test-bed to evaluate emerging technologies and policies with a common platform. Participants will gain hands-on example data and scripts from the model and practice input preparation and output analysis.

Although registration is closed, if you still want to attend upcoming sessions, please contact Yueshuai (Brian) He at

Oct. 21 1:00 PM, Session 1 (1 hour); Oct. 30 1:00 PM,  Session 2 (2 hours)

Instructor: Suzana Duran Bernardes, New York University

No prior experience required.

The session will introduce learners to data science through the Python programming language. This skills-based specialization is intended for newcomers without any programming background. This session will introduce fundamental programming concepts including data structures, basic operations in python, Pandas library for data analysis and Matplotlib for data visualization. You will also learn how to use Jupyter Notebook to write your programs. In the hands-on exercise, you’ll use the technologies learned and create your own program for data retrieval, processing, and visualization.

Watch session 1 here

Watch session 2 here

Nov. 13 10:00AM 

Instructor: Zilin Bian, New York University

No prior experience required. Coding knowledge preferred.

This session will provide you a foundational understanding of machine learning models (isolation forest, decision tree, neural network etc.) as well as demonstrate how these models can solve complex problems for smart cities. This session is intended for newcomers who are interested in knowing what machine learning and what applications can be built. More importantly, you’ll learn about not only the theoretical knowledge, but also gain the practical know-how needed from a simple hands-on exercise.

Watch session here

Instructor: Jingxing Wang, University of Washington

Nov. 18 1:00-2:00 PM

No prior experience required. Coding knowledge preferred.

This session will introduce approaches to collect open-sourced transportation data for related research. We will use Google API travel time data collection as an example to demonstrate how such real time travel time data was collected and used for traffic performance analysis in the greater Seattle area during the COVID-19 pandemic. This session will also discuss several widely used ways to collect other types of data. Hands-on exercise will be provided.

PDF Presentation

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