TIE 201 is a lab-based course designed to equip students with foundational knowledge and practical experience in designing and implementing IoT systems, with an emphasis on edge computing. This course integrates technical knowledge with hands-on applications, guiding students through key principles such as sensor and actuator modelling, signal conditioning, and data acquisition. Students will explore embedded microprocessor systems and the integration of hardware with control mechanisms, using hardware-in-the-loop simulation to prototype real-time, closed-loop electromechanical systems. A strong focus is placed on edge computing—designing low-power systems capable of performing real-time data analysis and control at the edge. In addition, students will engage with fundamental mechatronics concepts such as robotic manipulation, mobile robot navigation, and vision systems for obstacle avoidance and motion planning. The course project ensures that students apply these principles to create an IoT system that integrates edge devices, enabling real-time data processing and cloud connectivity. This project-based approach emphasizes incremental system design, fostering both multidisciplinary collaboration and technical mastery.