People Innovation Excellence

ALGORITHM DESIGN AND ANALYSIS (4 Credits)

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.

Topics :

  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
  12. Dynamic Programming: Coin Change Problem
  13. Dynamic Programming: Multistage Graph
  14. Dynamic Programming: Travelling Salesman
  15. Dynamic Programming: Knapsack Problem
  16. Code Optimization
  17. Huffman Code
  18. Graph Colouring
  19. Basic Search and Traversal
  20. Backtracking
  21. Branch and Bound
  22. Designing algorithm with specified complexity
  23. Practices of algorithm analysis
  24. Review

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