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. Introduction of design and analysis of algorithms;
  2. Mathematical induction and recursive function;
  3. Algorithms and complexity functions;
  4. Complexity of algorithms analysis;
  5. Stack and queue;
  6. Tree and binary tree;
  7. Priority queue and heap;
  8. Graph;
  9. Divide and conquer;
  10. Greedy methods;
  11. Dynamic Programming: Fibonacci Sequence Problem;
  12. Dynamic Programming: Coin Change Problem;
  13. Dynamic Programming: Multistage Graph;
  14. Dynamic Programming: Travelling Salesman;
  15. Dynamic Programming: Knapsack Problem;
  16. String Matching;
  17. Huffman Code;
  18. Graph Colouring;
  19. Basic Search and Traversal;
  20. Backtracking;
  21. Branch and Bound;
  22. Strongly Connected Components;
  23. Review.


Published at : Updated

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