3 Credits
官方数据更新时间: 2026-08-28 05:35:00
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.
COURSE
AMAT5200
Machine Learning for Materials Science
Function Hub / Advanced Materials · 3 Credits
This course aims to provide students training with a convergence of the two disciplines of Materials Science and Machine Learning (ML). We will start from machine learning basics, its mathematical foundations, then move on to modern machine learning methods for materials science problems and hands-on study with Python. Particularly, students will learn about how to combine the data-driven ML techniques with existing knowledge of materials science to give reliable physical predictions. Various case studies will be discussed, with real-world materials science applications.
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3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Calculus, linear algebra, probability, coding in Python, some knowledge in differential equations will be very helpful but not required.