A comprehensive course covering fundamental and advanced algorithmic concepts, design techniques, analysis methods, and real-world applications essential for software engineering.
Course Topics
1. Introduction to Algorithms
2. Algorithmic Thinking
3. Time and Space Complexity
4. Asymptotic Notation (Big O, Theta, Omega)
5. Recursion Basics
6. Advanced Recursion Techniques
7. Divide and Conquer Algorithms
8. Greedy Algorithms
9. Dynamic Programming
10. Memoization and Tabulation
11. Backtracking
12. Branch and Bound
13. Searching Algorithms
14. Sorting Algorithms
15. Hashing Techniques
16. Essential Data Structures Overview
17. Graph Theory Basics
18. Graph Traversal (BFS, DFS)
19. Shortest Path Algorithms
20. Minimum Spanning Tree Algorithms
21. Network Flow Algorithms
22. String Algorithms
23. Pattern Matching Algorithms
24. Computational Geometry
25. Randomized Algorithms
26. Parallel Algorithms
27. NP-Completeness and Hard Problems
28. Approximation Algorithms
29. Advanced Algorithmic Topics