Week 1: Algorithmic Foundations and Problem-Solving Techniques
Build a strong foundation in programming concepts and algorithmic problem-solving by exploring essential techniques and data structures.
Day 1: Orientation
Introduction to the course, setting up the development environment, and overview of algorithms.
Day 2: Two Pointers
Introduction to two-pointer techniques and their real-world applications.
Day 3: Binary Search
Master binary search algorithms for searching sorted and unsorted data collections.
Day 4: Graph & BFS
Introduction to graph algorithms with breadth-first search (BFS) and level-order traversal.
Day 5: Tree & Divide and Conquer
Deep dive into Binary Trees and their modifications, exploring the concept of divide and conquer.
Week 2: Advanced Algorithms and Interview Readiness
Strengthen your understanding of recursion, dynamic programming, and key algorithmic techniques commonly tested in technical interviews.
Day 6: DFS
Explore graph-based DFS problems and learn when to choose between DFS and BFS.
Day 7: Heap & Sweeping Line
Understand heaps and the sweeping line algorithm for solving geometric problems.
Day 8: Memorization
Focus on identifying overlapping subproblems and applying memorization for optimization.
Day 9: DP
Introduction to Dynamic Programming (DP) and problem-solving strategies using both top-down and bottom-up approaches.
Day 10: Practice Session
A comprehensive review of trending interview questions, discussing problem-solving approaches, common pitfalls, and effective strategies to tackle technical interviews.
