Modeling Data with Algebraic Data Types in Functional Programming

When building software, representing complex domain logic in code can often lead to unexpected edge cases and runtime errors. By mastering Algebraic Data Types (ADTs), you can use the type system to make invalid states completely unrepresentable in your programs. This text-based course guides you through modeling compound data structures with precision and confidence. You will transition from writing fragile conditional logic to designing self-documenting, type-safe structures. Through clear written explanations and practical code examples, you will learn to structure data using modern functional programming principles. What you'll learn: - Understand the core mathematical concepts behind sum types and product types - Declare custom user-defined types in both Haskell and OCaml - Write exhaustive pattern matching expressions to handle all data cases safely - Model domain-specific logic and complex business rules without nested conditionals - Apply modern type-driven design patterns to prevent runtime errors - Practice refactoring legacy structural types into precise algebraic representations This course begins with foundational type theory and basic definitions before moving into practical implementation patterns and real-world domain modeling. You will read structured explanations, analyze clear code snippets, and complete written exercises designed to reinforce your understanding of type systems. This course is designed for beginner to intermediate developers who want to understand functional programming concepts or improve their domain modeling skills. No prior experience with Haskell or OCaml is required. Start modeling your application data with absolute precision today.