Module 1: Introduction to Data Structures and Algorithms
Begin by understanding the fundamentals of data structures.
Link: https://lnkd.in/d-8_5_fE
Module 2: Arrays and Strings
Explore techniques for array manipulation, searching, sorting, and string manipulation.
Link: https://lnkd.in/dyjmA5cq
Module 3: Linked Lists
Comprehend singly linked lists, doubly linked lists, and circular linked lists. Learn about insertion, deletion, and traversal operations.
Link: https://lnkd.in/dZJXhktY
Module 4: Stacks and Queues
Investigate the concepts of stacks and queues, along with their real-world applications.
Link: https://lnkd.in/d4sK58TK
Module 5: Hashing
Acquire knowledge about hash functions, hash tables, and collision resolution techniques.
Link: https://lnkd.in/dkQRvJ-D
Module 6: Trees
Study binary trees, binary search trees, AVL trees, and basic tree traversal algorithms such as inorder, preorder, and postorder.
Link: https://lnkd.in/d9pr5Wgy
Module 7: Graphs
Understand graph representations, traversal algorithms (DFS, BFS), and basic graph algorithms (Dijkstra's, Kruskal's).
Link: https://lnkd.in/dpkGNJxg
Module 8: Sorting Algorithms
Familiarize yourself with various sorting algorithms like bubble sort, insertion sort, merge sort, and quicksort.
Link: https://lnkd.in/dVmjcNJp
Module 9: Searching Algorithms
Learn about linear search, binary search, and other searching techniques.
Link: https://lnkd.in/d4rzxnE3
Module 10: Dynamic Programming
Explore dynamic programming concepts and techniques for solving optimization problems.
Link: https://lnkd.in/dwHeF4DE
Module 11: Recursion
Understand recursion, recursive algorithms, and their applications.
Link: https://lnkd.in/dmXRnGry
Module 12: Divide and Conquer
Learn about the divide and conquer paradigm and its applications in problem-solving.
Link: https://lnkd.in/dfnnSuKi
Module 13: Greedy Algorithms
Study greedy algorithms and their application in solving optimization problems.
Link: https://lnkd.in/d2sDG2H5
Module 14: Backtracking
Explore backtracking techniques to solve problems like the N-Queens problem and the subset sum problem.
Link: https://lnkd.in/dEGMtB92
Module 15: Advanced Data Structures
Learn about advanced data structures like heaps, tries, and segment trees.
Link: https://lnkd.in/d8N4s6Qt
Module 16: Algorithm Analysis
Understand how to analyze the time and space complexity of algorithms.
Link: https://lnkd.in/dxqNMZ7Y
