Rutgers University 3 credits Computer Science
This is the second class in a sequence. It is a hands on approach, for students in the MSDS professional program, to build working systems that process data at scale. The systems built will be evaluated based on three criteria: Feasibility, Usefulness and Novelty. A panel formed by industry professionals and faculty, will judge the completed projects. Best project awards will be given and their creators will be invited to present them in an annual Industry-Faculty gala ceremony. The first capstone class focus on Interface development and the second concentrates on large scale analysis and sense making. Prerequisites: Languages: C/C++, Java, JavaScript, Python 16:198:554, 16:198:543 (Massive Data Storage and Retrieval), 16:198:550(Massive Data Mining)/16:198:535(Pattern Recognition) or 16:198:550(Massive Data Mining)/16:198:536(Machine Learning) , or 16:198:535/16:198:536(Pattern Recognition-Machine Learning).
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