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Topics in Algorithms
This course covers advanced methods of algorithmic design and analysis. Topics will be selected from: advanced data structures; amortization; persistence; optimization; approximation; randomization; probabilistic analysis; parallel algorithms.
Weekly Contact: Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.