Courses (1-7 of 7)

1. Machine Learning in Materials Science: Image Analysis Using Convolutional Neural Networks in MatCNN

   Courses | 03 Nov 2021 | Contributor(s):: Tiberiu Stan, Jim James, Nathan Pruyne, Marcus Schwarting, Jiwon Yeom, Peter Voorhees, Ben J Blaiszik, Ian Foster, Jonathan D Emery

     This course introduces fundamental concepts of artificial intelligence within the context of materials science and image segmentation. The two-week module was taught as part of a Computational Methods in Materials Science course at Northwestern University. The module is aimed at...

2. Gr-ResQ (Graphene Rescue) Tool Tutorial & Training

   Courses | 03 Jun 2021 | Contributor(s):: Mitisha Surana

   This hands-on tutorial will introduce users to the Gr-ResQ (‘graphene rescue’) platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene synthesized by chemical vapor deposition, (ii) a set of analysis tools that enable users to analyze the...

3. Hands-On Data Science and Machine Learning in Undergraduate Education

   Courses | 07 Oct 2020 | Contributor(s):: Alejandro Strachan, Saaketh Desai, Juan Carlos Verduzco Gastelum, Michael N Sakano, Zachary D McClure, Joseph M. Cychosz, Jared Gray West

   This series of modules introduce key concepts in data science in the context of application in materials science and engineering.

4. Hands-on Data Science and Machine Learning Training Series

   Courses | 21 Apr 2020 | Contributor(s):: Alejandro Strachan, Saaketh Desai, Arun Kumar Mannodi Kanakkithodi

   his series of workshops introduces participants to important concepts and techniques in data science and machine learning in the context engineering and physical sciences applications. All workshops include hands-on activities.

5. ECE 595ML: Machine Learning I

   Courses | 17 Jan 2020 | Contributor(s):: Stanley H. Chan

   Spring 2020 - This course is in productionCourse Website: https://engineering.purdue.edu/ChanGroup/ECE595/index.htmlCourse Outline:Part 1: Mathematical BackgroundLinear Regression and OptimizationPart 2: ClassificationMethods to train linear classifiersFeature analysis, Geometry, Bayesian...

6. Perspectives on High-Performance Computing in a Big Data World

   Courses | 30 Sep 2019 | Contributor(s):: Fox, Geoffrey C.

   This course was deleivered at ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC).High-Performance Computing (HPC) and Cyberinfrastructure have played a leadership role in computational science even since the start of the NSF computing centers program. Thirty...

7. ECE 695E: An Introduction to Data Analysis, Design of Experiment, and Machine Learning

   Courses | 07 Jan 2019 | Contributor(s):: Muhammad A. Alam

   This course will provide the conceptual foundation so that a student can use modern statistical concepts and tools to analyze data generated by experiments or numerical simulation.