Data Structures and Algorithms for Software Development

Data Structures and Algorithms provides students with a solid foundation in the essential concepts that support effective software development. Students will build a strong understanding of core data structures and algorithmic principles, including complexity analysis and asymptotic notation, and learn how these concepts inform the design of efficient, scalable solutions.

The course introduces fundamental structures such as arrays, linked lists, stacks, queues, trees, graphs, heaps, and hash tables, along with their practical applications. Students will also explore key algorithmic techniques, including dynamic programming, greedy algorithms, and backtracking, to strengthen their ability to approach and solve computational problems systematically.

A major focus of the course is developing practical problem‑solving skills. Students will apply data structures and algorithms to real‑world scenarios, write optimized code, and evaluate the performance of different approaches. Through hands‑on implementation in a programming language of choice, learners will gain proficiency in translating theoretical concepts into working solutions.