Computer Science 335, Parallel Processing and High Performance Computing

Computer Science 301, Programming C in Unix, 1 credit, first half of the semester

Computer Science 011, Problem Solving with Spreadsheets (in Canvas only)

Data structure and algorithm visualization using highway data and online maps. Computer Science education, particularly in relation to curricular issues in liberal arts institutions and parallel processing. Parallel scientific computation. Dynamic load balancing for adaptive computations in heterogeneous, hierarchical (including hyperthreaded and multi-core), non-dedicated and transient computational environments. Distributed data structures. Tools to facilitate parallel processing.

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Learn more about Map-based Educational Tools for Algorithm Learning (METAL) and the Highway Data Examiner featuring interactive algorithm visualizations.