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Algorithms with an engineering emphasis. Topics include algorithms with numbers, divide-and-conquer algorithms, decompositions of graphs, paths in graphs, greedy algorithms, dynamic programming, linear programming and reductions, NP- complete problems, coping with NP-completeness, quantum algorithms.
Weekly Contact: Lab: 2 hrs. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1