This course provides a structured introduction to algorithms and data structures, focusing on the core principles that underpin efficient computing and problem-solving.
The course begins with algorithms and computation, explaining how problems are translated into step-by-step procedures that can be executed by a computer. It introduces fundamental thinking patterns used in algorithm design.
It then covers data structures and dynamic arrays, explaining how data can be stored and resized efficiently, and how dynamic memory allocation improves flexibility compared to static structures.
A key part of the course includes asymptotic behavior analysis, helping learners understand how functions grow and how algorithm performance is evaluated as input size increases. This forms the foundation of complexity analysis.
The course also introduces sets and sorting, explaining how data can be organized, grouped, and ordered efficiently using different sorting algorithms and set-based structures.
Finally, it covers hashing, explaining how hash functions enable fast data retrieval, insertion, and deletion, and why hash-based structures are essential in modern computing systems.
By the end of this course, learners will have a strong understanding of algorithms, dynamic data structures, sorting methods, and hashing techniques, providing a solid foundation for advanced computer science and software engineering.
