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Course ID:	CSCI 8360. 4 hours.
Course Title:	Data Science Practicum
Course Description:	Advanced data science techniques for analyzing large-scale data in distributed environments. Students will develop scalable algorithms in frameworks such as Spark and Flink. This course is team-based, involving several mini-projects over the course of the semester with a competition as the final project.
Athena Title:	Data Science Practicum
Prerequisite:	CSCI 4360/6360 or CSCI 4380/6380 or permission of department
Semester Course Offered:	Not offered on a regular basis.
Grading System:	A-F (Traditional)

Syllabus: No Syllabus Available