Course with theory and practical examples of advanced data structures and algorithms
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Learn the basics of advanced data structures and algorithms. We will cover topics like Big O notation, complexity analysis, and the importance of choosing the right data structure and algorithm for a given problem....
Learn about hash tables and their applications. We will cover how hash functions work, collision resolution techniques, and the implementation of hash tables in different programming languages....
Learn about binary trees and their variants. We will cover binary search trees, AVL trees, and red-black trees. You will also learn about the operations that can be performed on binary trees, such as insertion, deletion, and searching....
Learn about graph theory and different types of graphs. We will cover graph representations, graph traversal algorithms (DFS and BFS), and popular graph algorithms like Dijkstra's algorithm and minimum spanning tree algorithms....
Learn about the heap data structure and its applications. We will cover max heaps and min heaps, heap operations like insertion and deletion, and the heap sort algorithm....
Learn about dynamic programming, a powerful algorithmic technique. We will cover the principles of dynamic programming, memoization, bottom-up and top-down approaches, and solving classic dynamic programming problems....
Learn about advanced sorting algorithms beyond the basic ones like bubble sort and insertion sort. We will cover algorithms like merge sort, quicksort, and radix sort. You will also learn about their time complexity and when to use each algorithm....
Learn about the trie data structure and its applications. We will cover trie construction, insertion, deletion, and searching operations. You will also learn about practical use cases of tries like autocomplete and spell checking....
Learn about network flow algorithms. We will cover the maximum flow problem, Ford-Fulkerson algorithm, and Edmonds-Karp algorithm. You will also learn about applications of network flow algorithms in areas like transportation and network planning....
Learn about string algorithms and data structures used in string processing. We will cover topics like string matching algorithms (e.g., Knuth-Morris-Pratt and Boyer-Moore algorithms), suffix arrays, and tries for efficient string searching and manipulation....