Computer Science 011, Problem Solving with Spreadsheets (2 sections)

Computer Science 301, C Programming in Unix (1 credit, Fall A)

Computer Science 335, Parallel Processing and High Performance Computing

Data structure and algorithm visualization using highway data and online maps. 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. Computer Science education, particularly in relation to 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.