Fall 2022 Student Learning Hub Courses Announced

October 7, 2022May 7, 2023Molly

C2SMART has released its new slate of Student Learning Hub courses for the Fall 2022 semester. Featuring presentations from esteemed graduate students and alumni, this fall focuses on both soft and hard skills to help students advance in their studies and their careers.

Explore the courses below and visit the Student Learning Hub Homepage to see other upcoming events.

Diving into open data - What is available and how to use them for transportation research

Instructor: Hector Landes, New York University
Hands-on exercise: Yes
Level: No prior experience required.
Schedule: Wednesday October 26, 2022, 1:00pm – 2:00pm
Description: This course will be a general introduction to how to use open data for transportation projects. It will start with a short lecture to introduce open-data sources and software to use for data engineering with a focus on demographic, traffic, economic, and safety data. The second part will be a tutorial on how to retrieve data from these sources, how to clean them, manipulate them, and finally visualize them. Finally, this course will also cover how to troubleshoot during data pre-processing and how to overcome an error in either the code or the data. Hands-on exercises on how to use Excel, Tableau, Jupyter Notebook, and QGIS to process the data will be presented.

RSVP Link: https://nyu.zoom.us/meeting/register/tJUkdOGrpzopHdKc3pIr6ooE1l4gFmSvR6_X

Everything you need to know about digital twins: Building a campus model

Instructor: Talha Azfar, Ph.D Candidate at UTEP
Hands-on exercise: Yes
Level: No prior experience required.
Schedule: Friday, November 4, 2022, 1:00pm – 2:00pm
Description: Realistic digital geographical models of real-world locations are a necessary starting point for digital twin applications, especially for simulation and visualization. This presentation will cover efficient and convenient procedures to create a 3D digital model of the UTEP campus along with the road network on the Unreal Engine project for CARLA, a driving simulator. This can enable applications like computer vision, traffic simulation, and autonomous driving experimentation. It can serve as a testbed for connected sensors and synchronized databases towards a complete digital twin.

RSVP Link: https://nyu.zoom.us/meeting/register/tJwucu-trzsjHNFtuukA1j0a3NOso7CrEHl7

Machine learning and Deep learning approaches in bridge degradation modeling and forecasting

Instructor: Zhanhang Li, Rutgers University
Hands-on exercise: Yes
Level: No prior experience required.
Schedule: Wednesday, November 9, 2022, 1:00pm – 2:00pm
Description: This course will provide students with a foundational understanding of machine learning models and degradation processes. With the bridge degradation modeling case study, students will learn about different types of neural networks, their strengths, and context of application. Case studies and live demos will be provided using Artificial Neural Network (ANN) (Multilayer Perceptron [MLP]) and Convolutional neural network (CNN) for bridge rebar degradation modeling.

RSVP Link: https://nyu.zoom.us/meeting/register/tJEtdeGvrT4sHNX9YTaN1LWeZfwlr8BRRrfH

How to develop a survey using Qualtrics: A step-by-step guide

Instructor: Hella Alnajjar, New York University
Hands-on exercise: Yes
Beginner level: No prior experience required.
Schedule: Wednesday, November 16, 2022, 1:00pm – 2:00pm
Description: This course is for students who want to learn how to conduct, distribute, and analyze a survey-based study using Qualtrics, a powerful online survey tool, for research purposes. The lesson will include hands-on exercises on how to create sets of questions of various types, import data, set up a display or skip logic for a question, and how to effectively visualize, export and analyze the data collected.

RSVP Link: https://nyu.zoom.us/meeting/register/tJIqfuirrzIqHdyrCYLtknQy9CX0XXxGJHYi