Algorithms and Data Structures for Olympiad Informatics

Competitive programming requires a strong foundation in algorithm design and computational thinking. This course guides you through essential computer science principles and problem-solving techniques needed to solve contest problems efficiently. You will start by understanding foundational terminology, time and space complexity, and basic data organization before advancing to structured algorithmic patterns. What you will learn: Learn to evaluate time and space complexity using Big O notation; Master standard sorting, searching, and two-pointer techniques; Apply linear data structures such as stacks, queues, and dynamic arrays; Implement dynamic programming, recursion, and greedy strategies for optimization problems; Explore basic graph representations along with depth-first and breadth-first search algorithms; Practice writing clean, memory-efficient code snippets optimized for competitive constraints. The material flows logically from basic terminology to practical algorithm patterns, using written explanations and code examples. Perfect for beginner coders interested in competitive informatics with no prior contest experience required. Start reading today to build your algorithmic mindset.