Spring 2021 C2SMART Student Learning Hub Offerings
C2SMART has announced 5 new Student Learning Hub Courses for the Spring 2021 semester!
The Student Learning Hub, launched in the Fall of 2020, aims to bring together the C2SMART community, provide skills and tips for conducting research, provide hands-on projects to accelerate applied learning, and help students master research or job-ready skills. Courses are free, and open to all students attending universities in the C2SMART Center Consortium.
See below for the spring 2021 course schedule:
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: https://c2smart.engineering.
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.
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.
Instructor: Yu Tang
Time/Date TBD
No prior experience required.
Details Forthcoming
Instructor: Di Yang, NYU
Time/Date TBD
No prior experience required.
Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. In this class you will learn the basics of the industry’s leading software tool, ArcGIS, including its common data types (such as raster and vector data), structures, projections and geographic coordinate system. You will learn how to visualize and analyze your data and apply location-based analytics to your research. In the hands-on exercise, you will create a GIS project using a combination of data identification and collection, analytical map development, and spatial analysis techniques.