People Innovation Excellence


Learning Outcomes:

On successful completion of this course, student will be able to: Explain fundamental concept of analysis algorithms; Apply algorithm techniques and methods; Solve a problem using specific algorithm; Compare several algorithm design methods.


  1. Mathematical induction and recursive function
  2. Algorithms and complexity functions
  3. Complexity of algorithms analysis
  4. Divide and conquer
  5. Greedy methods
  6. Dynamic Programming: Fibonacci Sequence Problem
  7. Dynamic Programming: Coin Change Problem
  8. Dynamic Programming: Multistage Graph
  9. Dynamic Programming: Travelling Salesman
  10. Dynamic Programming: Knapsack Problem
  11. String Matching
  12. Huffman Code
  13. Graph Colouring
  14. Backtracking
  15. Branch and Bound
  16. Strongly Connected Components
  17. Review
  18. Introduction of design and analysis of algorithms
  19. Analysis of Data Structures: Stack, Queue, Tree, and Binary Tree
  20. Analysis of Data Structures: Graph (Basic Search & Traversal), Priority Queue, and Heap


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