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; Calculate processing time and memory space of algorithms; 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; Divide and conquer;
  9. Greedy methods;
  10. Dynamic Programming: Fibonacci Sequence Problem;
  11. Dynamic Programming: Coin Change Problem;
  12. Dynamic Programming: Multistage Graph;
  13. Dynamic Programming: Travelling Salesman Problem;
  14. Dynamic Programming: Knapsack Problem;
  15. Code Optimization;
  16. Huffman Code;
  17. Graph Colouring;
  18. Basic Search and Traversal;
  19. Backtracking;
  20. Branch and Bound;
  21. Designing algorithm with specified complexity;
  22. Practices of algorithm analysis.

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