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ENGR-E 536: HIGH PERFORMANCE GRAPH ANALYTICS (3 credits)

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This course covers theoretical and practical concepts in graph analytics, with applications to social networks, computational biology, machine learning and scientific computing. It will demonstrate graph algorithms by analyzing large-scale social and biological networks using high-performance graph analytics frameworks. Design principles for efficient graph algorithms will be discussed.

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