Algorithms and Data Structures

Algorithms and Data Structures introduces the fundamental techniques for organizing data and designing efficient computational solutions. The subject covers core data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables, along with algorithmic paradigms including sorting, searching, recursion, and greedy and divide-and-conquer strategies. Learners analyze time and space complexity to evaluate performance and scalability. The course emphasizes problem-solving, algorithm design, and practical implementation, enabling students to build optimized software systems. By connecting theory with real-world applications, learners develop the skills to select appropriate structures and algorithms that support efficient data processing and reliable computing solutions.