Data Structures and Algorithms

Learn fundamental data structures and algorithms through a comprehensive 4-hour tutorial covering essential computer science concepts. Master stack and queue data structures, including priority queues, then explore linked lists and dynamic arrays while understanding the differences between LinkedLists and ArrayLists. Dive into Big O notation for algorithm analysis before studying various search algorithms including linear search, binary search, and interpolation search. Progress through sorting algorithms such as bubble sort, selection sort, insertion sort, merge sort, and quick sort, with an introduction to recursion concepts. Explore advanced data structures including hash tables, graphs, adjacency matrices, and adjacency lists, then learn graph traversal techniques through depth-first search and breadth-first search. Conclude with tree data structures, binary search trees, tree traversal methods, and practical guidance on calculating execution time in Java programming.