DATA STRUCTURES AND ALGORITHMS

DATA STRUCTURES AND ALGORITHMS

The "Data Structures and Algorithms" course provides a comprehensive study of the key data structures and algorithms that are fundamental to computer science and software development. The course begins with an introduction to basic data structures, including arrays, linked lists, stacks, and queues. Students will learn how to implement these structures, understand their operations, and analyze their performance. The course then progresses to more complex data structures such as trees, heaps, hash tables, and graphs. For each data structure, students will learn about its various types, operations, and practical applications. The course also covers essential algorithmic techniques such as sorting, searching, recursion, and dynamic programming. Advanced topics include graph algorithms, such as depth-first search (DFS), breadth-first search (BFS), shortest path algorithms, and minimum spanning trees. A significant focus will be placed on understanding and analyzing the efficiency of algorithms using Big O notation, enabling students to evaluate and choose the appropriate data structures and algorithms for different problems. Through practical coding exercises, problem-solving sessions, and real-world examples, students will develop the skills necessary to implement efficient and optimized solutions in software development.