Data Science Practicum 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. Not offered on a regular basis. Credit Hours: 4 Prerequisites: CSCI 4360/6360 or CSCI 4380/6380 or Permission of Department Level: Graduate
