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MEM 679 Data Analysis and Machine Learning for Science and Manufacturing 3.0 Credits

This course aims to equip engineers with the skills to harness the power of computational data analysis and machine learning techniques, particularly in the realms of experimental science and manufacturing processes. Rather than diving deep into the mathematical foundations of algorithms, the focus here is on providing engineers with the practical knowledge and tool sets required for applying these computational methods in real-world scenarios.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

Mechanical Engineering and Mechanics PhD

https://catalog.drexel.edu/graduate/collegeofengineering/mechanicalengineeringandmechanicsphd/

Major: Mechanical Engineering and Mechanics Degree Awarded: Doctor of Philosophy (PhD) Calendar Type: Quarter Minimum Required Credits: 90.0  Co-op Option: None Classification of Instructional (CIP) code:  14.1901 Standard Occupational Classification (SOC) code: 17-2141