This course introduces the fundamental concepts of algorithms and data structures using C++, focusing on essential tools for efficient programming and technical interview preparation.
The course begins with core algorithmic principles, including Big-O notation and recursion. It explains how algorithm efficiency is measured and how recursive problem-solving techniques are applied in computer science.
It then covers essential linear data structures such as stacks, queues, and lists. Learners explore how these structures work, their real-world use cases, and how they support efficient data processing.
The course also introduces hash tables, one of the most important data structures in modern computing. It explains how key-value storage works and why hash tables provide fast average-time performance for search, insert, and delete operations.
In addition, it covers priority queues, explaining how elements are managed based on priority rather than order of insertion. This is widely used in scheduling, simulations, and optimization problems.
By the end of this course, learners will understand core data structures, algorithm complexity, recursion, and efficient problem-solving techniques in C++, providing a strong foundation for advanced computer science topics and coding interviews.
