DSA Mentorship

Data Structures and Algorithms (DSA) Course

This comprehensive DSA module builds a strong foundation through interactive sessions, hands-on examples, and targeted practice problems. Each topic includes:

• Core Foundation Sessions: In-depth lectures covering key concepts and techniques.
• Practical Examples: 3–5 real-world coding walkthroughs to reinforce learning.
• Home Assignments: 10–20 (or 20–30 for advanced topics) problems for independent practice, with solutions and discussions provided.

Topics:

1. Sorting Algorithms
   • Foundation sessions on time/space complexity, stability, and common sorts (e.g., QuickSort, MergeSort).
   • 3–5 examples.
   • 10–20 assignment problems.
2. Recursion
   • Foundation sessions on base cases, stack traces, and optimization strategies.
   • 3–5 examples.
   • 10–20 assignment problems.
3. Trees
   • Foundation sessions on binary trees, BSTs, AVL trees, and traversals (in-order, pre-order, etc.).
   • 3–5 examples.
   • 10–20 assignment problems.
4. Graphs
   • Foundation sessions on representations (adjacency lists/matrices), BFS/DFS, and shortest paths.
   • 3–5 examples.
   • 10–20 assignment problems.
5. Dynamic Programming
   • Foundation sessions on memoization, tabulation, and problem patterns (e.g., knapsack, LCS).
   • 3–5 examples.
   • 20–30 assignment problems.