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CMSE 495

Experiential Learning in Data Science (W)

Michigan State University 4 credits Computational Mathematics, Science, & Engineering

Course Description

Team-based data science projects working with real-world data in collaboration with client/company sponsors. Practice in software development, data collection, curation, modeling, scientific visualization and presentation of results. Students may be required to sign a non-disclosure agreement (“NDA”) or an assignment of intellectual property rights (“IP Assignment”) to work with some project sponsors. Prerequisite: (CSE 232 and CMSE 382) and completion of Tier I writing requirement.

Code
CMSE 495
Credits
4
Subject
Computational Mathematics, Science, & Engineering

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