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Meeting MS&T22: Materials Science & Technology
Symposium Curricular Innovations and Continuous Improvement of Academic Programs (and Satisfying ABET along the Way): The Elizabeth Judson Memorial Symposium
Presentation Title Machine Learning and Data Science in the MSE Undergraduate Program
Author(s) Elizabeth A. Holm
On-Site Speaker (Planned) Elizabeth A. Holm
Abstract Scope The tools of data science and machine learning are constructed using concepts from the mathematics and statistics core of the undergraduate engineering curriculum; our students are ready and able to learn them. Given the growing importance of these subjects in the practice of materials science and engineering, it makes sense to include data science and machine learning in the undergraduate program. At CMU, we incorporate them into the MSE curriculum via focused modules inserted into our computational materials science course; outcomes and lessons learned will be discussed. Summer research opportunities supplement course offerings; an example of a team project on machine learning for microstructural analysis will be presented and critiqued. Finally, we stress the importance of making MSE data and data science problems more available for student exploration. The ultimate goal is to provide undergraduates with multiple avenues to acquire data science and machine learning experience during their MSE education.
Proceedings Inclusion? Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

ABET and Continuous Improvement: What's New, and Q&A
Assisting Curation of Open-Source Textbook with Natural Language Processing
Helping to Prepare Students for Communicating in the Professional World
Inclusive Pedagogy in Introductory Materials Science Courses
Introducing Students to the Importance of Materials in Sustainability
Investigating the Effects of Different Instructional Methods on Student Performance and Satisfaction in Online Learning
Machine Learning and Data Science in the MSE Undergraduate Program
Preparing Engineering Students to Work in and Design Solutions for Diverse Populations
Teaching Glass across Disciplines at Alfred University
Technical Communication: Graduate Student Training via Regular Reporting within I/UCRCs
The Material Science Core: A Need to Align Worldviews?

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