2021 CAES Boot Camp Registration: July 12 to 15, 2021
Please use this form to register for workshops and feel free to participate as your schedule allows!
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TUTORIALS AND SESSIONS - See the schedule at the link listed below for session descriptions. All tutorials will be held virtually, and all times listed are Mountain Daylight Time (MDT).
ONLY REGISTER FOR THE TUTORIALS YOU WILL ATTEND by clicking the checkbox. Please leave those you will not be attending blank.  NOTE: The first 25 who register for the tutorials will be given priority for Q&A and interaction with the instructor during the session.
Select tutorials you will attend Monday, July 12
Yes, I will attend
9 am - 12 pm, Randall Reese, INL, RShiny and PyFlask: Building Interactive Web Apps for Data
1 - 5 pm, Leslie Kerby, ISU, NumPy, Pandas, and Scikit-Learn: Prediction with Decision Trees
Select tutorials you will attend Tuesday, July 13
Yes, I will attend
9 am - 12 pm, Steve Cutchin, BSU, Visualization with ParaView
1 - 2 pm, Roba Binyahib, UOregon, Visualization Tools
2 - 5 pm, Eric Brugger, Lawrence Livermore National Lab., Visualization Tools
Select tutorials you will attend Wednesday, July 14
Yes, I will attend
9 - 10:15 am, Benjamin Afflerbach, UW-Madison, An Introduction to Machine Learning for Materials Science: A Basic Workflow for Predicting Materials Properties
10:15 am - 12 pm, Ryan Jacobs, UW-Madison, The Materials Simulation Toolkit for Machine Learning (MAST-ML): Automating Development and Evaluation of Machine Learning Models for Materials Property Prediction
1 - 2 pm, Mahmood Mamivand, BSU, The Informatics Skunkworks: A Program for Undergraduate Research at the Interface of Data Science and Materials Science and Engineering
2 - 5 pm, Paul Bodily, ISU, Crossing Darwin and Computer Science: The Staying Power of Evolutionary Algorithms
Select tutorials you will attend Thursday, July 15
Yes, I will attend
9 am - 12 pm, Kount Data Scientists, A Day in the Life of a Kount Data Scientist
1 - 3 pm, Local Industry Expert(s), Industry Applications of Artificial Intelligence / Machine Learning
3 - 5 pm, Data Science Research Discussion Panel: Tool Applications, Networking, and Collaboration
A copy of your responses will be emailed to the address you provided.
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