Calendar Scheduling Algorithms and Interview Problem Patterns

Building and optimizing calendar features is one of the most common sources of technical interview questions. This text-based course guides you through the fundamental data structures, interval mathematics, and algorithmic patterns used to solve complex scheduling problems. You will learn to: Understand foundational calendar concepts such as intervals, time representation, and scheduling constraints; Solve classic interval problems including conflict detection, merging overlapping events, and finding free time slots; Apply optimal data structures like heaps, trees, and two-pointer techniques for efficient time tracking; Analyze time and space complexity to ensure your solutions meet modern performance standards; Explore basic system design considerations for scaling calendar features to millions of users. You will begin with core definitions and basic interval logic before progressing to step-by-step written breakdowns of common interview challenges. This course is designed for beginners preparing for technical interviews, with no advanced algorithm experience required. Start reading today to build a strong foundation in scheduling algorithms.