Machine Learning and Its Applications in Materials Science
University of Pennsylvania ยท PA ยท MSE5760
Machine Learning and Its Applications in Materials Science is a subject at University of Pennsylvania, PA. It covers topics like data-mining, machine-learning, materials-science, statistical-learning. It is part of 6 degrees. The information below is compiled from public course material โ approximate, not official.
University of Pennsylvania
MSE5760
3.00
Topics covered
Degrees that include Machine Learning and Its Applications in Materials Science
- Data Science and Artificial Intelligence, MSE
- Energy and Sustainability Engineering, MSE
- Materials Science and Engineering, BSE
- Materials Science and Engineering, MSE
- Materials Science and Engineering, PhD
- Scientific Computing, MSE
Frequently asked questions
What is Machine Learning and Its Applications in Materials Science about?
Machine Learning and Its Applications in Materials Science covers topics like data-mining, machine-learning, materials-science, statistical-learning.
Which degrees include Machine Learning and Its Applications in Materials Science?
Machine Learning and Its Applications in Materials Science is part of 6 degrees, including Data Science and Artificial Intelligence, MSE, Energy and Sustainability Engineering, MSE, Materials Science and Engineering, BSE, Materials Science and Engineering, MSE, Materials Science and Engineering, PhD.
How many credit points is Machine Learning and Its Applications in Materials Science?
Machine Learning and Its Applications in Materials Science at University of Pennsylvania is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Machine Learning and Its Applications in Materials Science taught?
Machine Learning and Its Applications in Materials Science is taught at University of Pennsylvania, PA.
Studying Machine Learning and Its Applications in Materials Science?
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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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