Foundations of Hardware-Software Co-Design with SMT Solvers

Designing modern embedded systems requires a seamless integration of hardware and software. Traditional manual co-design methods are prone to errors and inefficiencies in complex real-time environments. This course teaches you how to automate and verify hardware-software co-designs using powerful SMT (Satisfiability Modulo Theories) solvers and machine learning models. You will move from foundational concepts to modeling real-time operating system schedulers and communication protocols. What you will learn: - Understand the core principles of hardware-software co-design and system modeling - Explore the fundamentals of SMT solvers and how they verify complex system constraints - Apply machine learning techniques to optimize co-design exploration and decision-making - Model real-time operating system schedulers to ensure timing and resource guarantees - Design and verify communication protocols for integrated embedded systems - Practice formal verification workflows to detect and resolve system bottlenecks early. You will begin with essential terminology, learning how hardware and software components interact. Then, you will progress through written explanations and practical modeling exercises that demonstrate how solver technologies automate design tasks. This course is designed for beginning systems engineers, computer science students, and embedded software developers. No advanced background in formal methods or hardware synthesis is required. Start reading to master the fundamentals of modern hardware-software co-design today.