2021 Annual Meeting

Session: Teaching Data Science to Students and Teachers III

Chair

Martha Grover, Georgia Tech

Co-Chair

Phillip Westmoreland, North Carolina State University

Presentations

08:00 AM

(549a) Data Dexterity at Rensselaer
Juergen Hahn, Xun Wang, Uwe Kruger

08:20 AM

(549b) Integrating Data Science to Chemical Engineering Curriculum Using Matlab
Aycan Hacioglu, Samvith Rao

08:40 AM

(549c) Linking Measurements and Statistical Methodology through the Characterization of Polymeric Materials: Hierarchical Analysis of Gel Permeation Chromatography Data
Alison Scott, Nicholas Filipovic, Alexander Penlidis

09:00 AM

(549d) Interactive Modules for Teaching Hands-on Data Science in Engineering
Kerul Suthar, Q. Peter He, Thomas MItchell, Anna Hartwig, Jin Wang

09:20 AM

(549e) Learning Coarse-Scale ODEs/PDEs from Microscopic Data: What and How Can We Learn It from Data?
Seungjoon Lee, Georgios Psarellis, Ioannis G. Kevrekidis

09:40 AM

(549f) From Molecular- to Plant-Scale Computational-Engineering Design: Applied Training Spanning Scales
Niall English

10:00 AM

(506a) Open Source Data Science Education Materials for Chemical Engineers
David Beck, Jim Pfaendtner, Stephanie Valleau, Caitlyn Wolf, Chad D. Curtis