Rutgers University 3 credits 544
This course covers basic notions such as the Big Oh notation, recursion and recurrent equations, the divide and conquer, greedy and dynamic programming paradigms, data structures such as arrays, lists, stacks and queues, priority queues, balanced binary search trees, hash tables, dictionaries, and disjoint union-find trees, graphs, adjacency lists, and other graph data structures. Algorithms for sorting, polynomials, Fast Fourier Transform, modular arithmetic, primality testing, public-key cryptography, depth and breadth-first search techniques, the minimum spanning tree, shortest paths, and network flows. The concept of NP-completeness and intractability.
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