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36
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Course Description

a data structure is a particular way of organizing data in a computer so that it can be used efficiently.

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Course Syllabus
  • Lecture - 1 Introduction to Data Structures and Algorithms
  • Lecture - 2 Stacks
  • Lecture - 3 Queues and Linked Lists
  • Lecture - 4 Dictionaries
  • Lecture - 5 Hashing
  • Lecture - 6 Trees
  • Lecture - 7 Tree Walks / Traversals
  • Lecture - 8 Ordered Dictionaries
  • Lecture - 9 Deletion
  • Lecture - 10 Quick Sort
  • Lecture - 11 AVL Trees
  • Lecture - 12 AVL Trees
  • Lecture - 13 Trees
  • Lecture - 14 Red Black Trees
  • Lecture - 15 Insertion in Red Black Trees
  • Lecture - 16 Disk Based Data Structures
  • Lecture - 17 Case Study: Searching for Patterns
  • Lecture - 18 Tries
  • Lecture - 19 Data Compression
  • Lecture - 20 Priority Queues
  • Lecture - 21 Binary Heaps
  • Lecture - 22 Why Sorting
  • Lecture - 23 More Sorting
  • Lecture - 24 Graphs
  • Lecture - 25 Data Structures for Graphs
  • Lecture - 26 Two Applications of Breadth First Search
  • Lecture - 27 Depth First Search
  • Lecture - 28 Applications of DFS
  • Lecture - 29 DFS in Directed Graphs
  • Lecture - 30 Applications of DFS in Directed Graphs
  • Lecture - 31 Minimum Spanning Trees
  • Lecture - 32 The Union
  • Lecture - 33 Prims Algorithm for Minimum Spanning Trees
  • Lecture - 34 Single Source Shortest Paths
  • Lecture - 35 Correctness of Dijkstras Algorithm
  • Lecture - 36 Single Source Shortest Paths
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