This course introduces the foundational concepts of data structures and algorithm analysis, focusing on clear explanations and practical understanding for beginners in computer science.
The course begins with an introduction to data structures, explaining how data is organized and stored efficiently in computer programs. It sets the foundation for understanding how software manages information.
It then covers abstract data types (ADTs), explaining the difference between logical behavior and actual implementation. This helps learners understand how data structures are designed conceptually before being implemented in code.
A key topic in the course is Big-O notation, which introduces how to measure algorithm efficiency in terms of time complexity. It explains how performance changes as input size grows.
The course also focuses on arrays, including dynamic and static arrays. It explains how arrays work in memory, how they grow, and the trade-offs between fixed and dynamic structures.
In addition, it includes practical code explanations of dynamic arrays, helping learners understand how resizing and memory allocation work behind the scenes.
By the end of this course, learners will have a solid understanding of data structures fundamentals, complexity analysis, and array implem
