Course Highlights
  • "Big-oh" notation
  • Sorting and searching
  • Divide and conquer (master method, integer and matrix multiplication, closest pair)
  • Randomized algorithms (QuickSort, contraction algorithm for min cuts)
  • Data structures (heaps, balanced search trees, hash tables, bloom filters)
  • Graph primitives (applications of BFS and DFS, connectivity, shortest paths)
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StanfordOnline: Algorithms: Design and Analysis, Part 1

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