Informatics Olympiad Preparation: Algorithmic Problem Solving

Preparing for school informatics competitions requires a solid grasp of core algorithms and systematic problem-solving strategies. This text-based course guides you step-by-step through foundational concepts and techniques needed to tackle competition-level problems. You will start with key terminology and complexity analysis before progressing to essential data structures and algorithmic paradigms. Through clear written explanations and code walkthroughs, you will develop the logical thinking required to analyze, break down, and solve challenging tasks. What you will learn: Understand time and space complexity using Big O notation to evaluate efficiency; Master basic data structures including arrays, stacks, queues, and hash maps; Apply sorting, two-pointer, and binary search techniques to structured data; Solve tasks using recursion, greedy algorithms, and introductory dynamic programming; Implement graph representation and basic traversal strategies like DFS and BFS; Identify edge cases and practice writing robust solution logic. The course begins with core definitions and prerequisite concepts before walking you through core algorithmic patterns and annotated code snippets. Designed for beginners and school students interested in competitive programming with basic coding knowledge. Start reading today to build your confidence and sharpen your problem-solving skills.