CDS 303: Scientific Data Mining

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Course Information from the University Catalog

Credits: 3

Data mining techniques from statistics, machine learning, and visualization to scientific knowledge discovery. Students will be given a set of case studies and projects to test their understanding of this field and provide a foundation for future applications in their careers. Limited to three attempts.
Recommended Prerequisite: CDS 101 or CDS 130 or equivalent, or permission of instructor.
Schedule Type: Lecture
Grading:
This course is graded on the Undergraduate Regular scale.