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Data Structures & Algorithms

Curriculum

  • 1 Section
  • 36 Lessons
  • 10 Weeks
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  • Data Structures & Algorithms
    36
    • 2.1
      Introduction to Data Structures & Algorithms
    • 2.2
      Stacks
    • 2.3
      Queues & Linked Lists
    • 2.4
      Dictionaries
    • 2.5
      Hashing
    • 2.6
      Trees
    • 2.7
      Tree walks/Traversal
    • 2.8
      Ordered Dictionaries
    • 2.9
      Deletion
    • 2.10
      Quick Sort
    • 2.11
      AVL Trees Part 1
    • 2.12
      AVL Trees Part 2
    • 2.13
      Trees
    • 2.14
      Red Black Trees
    • 2.15
      Insertion in Red Black Trees
    • 2.16
      Disk Based Data Structures
    • 2.17
      Case Study: Searching for Patterns
    • 2.18
      Tries
    • 2.19
      Data Compression
    • 2.20
      Priority Queues
    • 2.21
      Binary Heaps
    • 2.22
      Why Sorting
    • 2.23
      More Sorting
    • 2.24
      Graphs
    • 2.25
      Data Structures for Graphs
    • 2.26
      Two Applications of Breadth First Search
    • 2.27
      Depth First Search
    • 2.28
      Applications of DFS
    • 2.29
      DFS in Directed Graphs
    • 2.30
      Applications of DFS in Directed Graphs
    • 2.31
      Minimum Spanning Trees
    • 2.32
      The Union
    • 2.33
      Prims Algorithm for Minimum Spanning Trees
    • 2.34
      Single Source Shortest Paths
    • 2.35
      Correctness of Dijkstras Algorithm
    • 2.36
      Single Source Shortest Paths
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Data Compression
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