Trying out a program
Week 1-2: Basic Data Structures
Day 1: Arrays - Implementation and operations. Day 2: Linked Lists - Singly linked lists operations. Day 3: Stacks - Using arrays and linked lists. Day 4: Queues - Circular queues and dequeue. Day 5: Strings - String manipulation and algorithms. Day 6: Review and practice problems on platforms like LeetCode, HackerRank, etc. Day 7: Rest or light review. Week 3-4: Advanced Data Structures
Day 1: Trees - Basic binary trees. Day 2: Binary Search Trees - Insertion, deletion, searching. Day 3: Heaps - Min heap and max heap operations. Day 4: Graphs - Representation (adjacency list, adjacency matrix). Day 5: Graphs - Basic graph algorithms like DFS and BFS. Day 6: Review and practice problems. Day 7: Rest or light review. Week 5-6: Algorithms Part 1
Day 1: Sorting - Bubble, Selection, Insertion. Day 2: Sorting - Merge sort, Quick sort. Day 3: Searching - Linear, Binary search. Day 4: Recursion - Basic problems and concept. Day 5: Divide and Conquer - Understanding the technique with problems. Day 6: Review and practice problems. Day 7: Rest or light review. Week 7-8: Algorithms Part 2
Day 1: Dynamic Programming - Introduction and basic problems. Day 2: Dynamic Programming - Advanced problems. Day 3: Greedy Algorithms - Basics and difference from DP. Day 4: Backtracking - Concepts and basic problems. Day 5: Bit Manipulation - Basic operations and tricks. Day 6: Review and practice problems. Day 7: Rest or light review. Week 9-10: Advanced Topics and Problem Solving
Day 1: Advanced Tree Structures - AVL Trees, Red-Black Trees. Day 2: Advanced Graph Algorithms - Dijkstra's, A*. Day 3: Network Flow - Max flow, Min cut. Day 4: String Algorithms - Trie, KMP, Suffix Trees. Day 5: Computational Geometry - Basics and initial problems. Day 6: Review and solve mixed problems. Day 7: Rest or light review. Ongoing Practice:
Dedicate at least one day of the week to solve mixed problems from various topics you've learned. Participate in coding contests on platforms like Codeforces, LeetCode, CodeChef, etc., to get used to time pressure and problem-solving. Analyze your performance weekly and revisit topics that need more practice. Additional Tips:
Keep track of the problems you find difficult and revisit them after a few days. Study with a partner or group if possible to discuss problems and solutions. Use visualization and drawing to better understand complex data structures and algorithms. Remember to adapt the schedule based on your own pace and understanding; some topics may require more than a day, and that's okay. The key is consistent practice and regular revision.