CMSE 495 (Course) - Grade Details

(with breakdown by instructor)

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

• Grade Summary (All Instructors)
• Overview (Instructor Breakdown)
• Dirk Joel-Luchini Colbry
• Justin Earl Gambrell

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