This course provides a complete university-level introduction to data structures and algorithms, designed to build a strong foundation in computer science and programming logic.

The course begins with an introduction to the subject, explaining what data structures and algorithms are and why they are essential for solving computational problems efficiently. It establishes the core mindset needed for structured problem-solving in computer science.

It then explores fundamental concepts such as how data is organized, stored, and manipulated using different data structures. Learners are introduced to key ideas that support efficient programming and software design.

A major focus of the course is algorithm analysis, including how to evaluate performance and efficiency. This includes understanding how algorithms scale with input size and how to compare different approaches to the same problem.

The lectures also introduce foundational complexity concepts, helping learners understand how to reason about time and space requirements in real-world computing scenarios.

As a full academic course, it provides a deep theoretical and practical base for further studies in computer science, software engineering, and advanced algorithm design.

By the end of this course, learners will have a solid understanding of data structures, algorithms, and computational thinking at a university level.