Massive Data Sets, Scalability and Concurrency

1.5 credits · Graduate

A cross section of topics from computer science disciplines, including databases, operating systems, architecture, programming languages and theory, and considers challenges associated with concurrency from multiple perspectives. Students are exposed to research involving programming paradigms and software practices for concurrent systems, algorithmic techniques for new paradigms, low level mechanisms for the implementation of practical primitives, applications including data mining and cloud computing, systems support for multicore computation and pedagogy for concurrency in modern curriculum.