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M E 737

Scientific Computing and Machine Learning for Engineering Applications

University of Wisconsin-Madison 3 credits M E

Course Description

Key computational topics for engineering applications will be discussed, encompassing both established classical numerical methods and the emerging field of machine learning. Knowledge of calculus [such as MATH 221], linear algebra and differential equations [such as MATH 320], probability [such as MATH 331] and programming in Python or MATLAB [such as COMP SCI 220] is required.

Code
M E 737
Credits
3
Subject
M E

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