Data Structures and Algorithms in C++

The course “Data Structures and Algorithms in C++” provides a comprehensive introduction to fundamental data structures and algorithms and their implementation in the C++ programming language. Throughout the course, you will learn how to design efficient and optimized solutions to various computational problems.

Here is an overview of the key topics covered in the course:

Introduction to Data Structures: You will learn about different types of data structures such as arrays, linked lists, stacks, queues, trees, and graphs. You will understand their characteristics, advantages, and usage scenarios.

Array-based Data Structures: You will explore the implementation and usage of array-based data structures such as dynamic arrays, matrices, and strings. You will learn about common operations and algorithms related to these data structures.

Linked Lists: You will learn how to implement and use singly linked lists, doubly linked lists, and circular linked lists. You will understand the operations and algorithms specific to linked lists, such as insertion, deletion, traversal, and searching.

Stacks and Queues: You will study the concepts of stacks and queues, including their implementation using arrays and linked lists. You will learn about the fundamental operations, such as push, pop, enqueue, and dequeue, and explore their applications in solving real-world problems.

Trees and Binary Trees: You will delve into the world of trees, including binary trees, binary search trees, and balanced trees like AVL and red-black trees. You will learn how to traverse and manipulate trees and perform operations like insertion, deletion, and searching.

Graphs: You will understand the representation and traversal techniques for graphs, including depth-first search (DFS) and breadth-first search (BFS). You will also learn about graph algorithms, such as topological sorting, shortest path algorithms, and minimum spanning tree algorithms.

Sorting and Searching Algorithms: You will study various sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, quicksort, and heapsort. Additionally, you will explore searching algorithms such as linear search, binary search, and interpolation search.

Algorithm Analysis and Complexity: You will learn how to analyze the time and space complexity of algorithms. You will understand Big O notation and learn techniques for evaluating algorithm efficiency and making informed decisions in algorithm selection.

By the end of this course, you will have a solid understanding of essential data structures and algorithms in C++. You will be able to design, implement, and analyze efficient solutions to complex computational problems, making you a proficient programmer capable of tackling real-world software development challenges.