Introduction to Competitive Programming: Algorithms and Graph Basics

Competitive programming is an excellent way to sharpen your problem-solving skills and master computer science fundamentals. Entering contests can feel intimidating without a structured approach to core concepts and algorithmic thinking. This written course guides you through foundational concepts, helping you transition from writing basic code to crafting efficient, time-optimized solutions for competitive challenges. What you'll learn: Understand algorithmic complexity and perform Big O time and space analysis. Apply fundamental linear algorithms and array manipulation techniques. Utilize standard data structures like hash maps, sets, and double-ended queues. Master basic graph representations, Depth-First Search, and Breadth-First Search. Implement two-pointer and sliding window approaches for optimal performance. Practice structured problem-solving through clear written explanations and text-based code snippets. The reading material begins with core terminology, algorithm analysis, and standard data structures before advancing to graph theory and efficiency optimizations. You will gain a solid mental model for evaluating time limits and choosing the right algorithm for any problem statement. Designed specifically for beginner programmers, computer science students, and anyone looking to start their journey in competitive programming without complex prerequisites. Start reading today and build a strong foundation for your algorithmic journey.