Computer Science 385, Analysis of Algorithms

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.