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October 2023

Fri 13
October 13 @ 11:30 am - 12:30 pm

Student Learning Hub: Introduction to Neural Networks (NNs): How and When to Use Recurrent NNs and Convolution NNs

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

Fri 20
October 20 @ 12:00 pm - 1:00 pm

Student Learning Hub: Contextualising Cloud-based Geospatial Analytics Techniques

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

Fri 27
October 27 @ 12:00 pm - 1:00 pm

Student Learning Hub: Solving Large-Scale Optimization Problems: A Practical Guide to High-Performance Computing (HPC) and Using C++ APIs for CPLEX

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

November 2023

Wed 8
November 8 @ 4:00 pm - 5:00 pm

Fireside Chat- From Classroom to Career: How Students Can Harness Experiential Learning for Future Success

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

Fri 10
November 10 @ 12:00 pm - 1:00 pm

Student Learning Hub: Essentials of Data Acquisition for Transportation Analysis

Instructor: Vivian Otieno, Texas Southern University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday November 10th, 12-1pm Description: TBD

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