Course Scheduling and Dependency Resolution in Go

Managing complex dependencies and scheduling tasks with prerequisites is a fundamental challenge in software engineering, from package managers to academic planning. This text-only course guides you through representing these problems as directed graphs and solving them step-by-step using Go. You will start by learning key terminology, basic graph concepts, and foundational definitions of directed acyclic graphs (DAGs). From there, you will write clean, idiomatic Go code to build robust scheduling systems. What you'll learn: Understand graph representation techniques like adjacency lists using Go maps and slices; Implement cycle detection algorithms to identify invalid dependency loops; Apply topological sorting methods, including Kahn's algorithm, to resolve valid schedules; Write clean, idiomatic Go code leveraging modern structured error handling and type safety; Analyze the time and space complexity of your scheduling solutions. The course begins with basic data structures, then guides you through designing, writing, and refining scheduling algorithms. It is designed for beginners to Go and algorithm design, requiring only a basic familiarity with Go syntax. Begin building your understanding of dependency management in Go today.