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CMSE 495 (Course) - Grade Details
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Course Title: Experiential Learning in Data Science (W)
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.
This is an interdepartmental course. Equivalent Courses: CSE 495 & STT 495
Dirk Joel-Luchini Colbry
Average Grade - 3.851
Median Grade - 4.0
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