Capstone: Autonomous Runway Detection for IoT

Finally! You will learn how to motivate engineering decisions and how to choose implementations to make a system actually running! This capstone project course ties together the knowledge from three previous courses in IoT through embedded systems: Development of Real-Time Systems, Web Connectivity & Security and Embedded Hardware and Operating Systems. You will develop a larger system using the learning outcomes from these courses, and the students will evaluate the developed system in a real-world programming environment. This course is a true engineering task in which the learners must not only implement the algorithm code, but also handle the interfaces between many different actors and hardware platforms. You will also learn to evaluate the efficiency and the correctness of their system, as well as real-world parameters such as energy consumption and cost. Get ready! This one will change how you view proposals and projects! Ideate. Innovate. Iterate with 28Digital,

• Make informed engineering decisions to improve systems
• Select and implement practical solutions for system operation
• Integrate knowledge from prior IoT courses into a larger system
• Evaluate system performance in real-world programming environments
• Assess efficiency, correctness, energy consumption, and cost

• Prior hands-on experience with core IoT concepts
• Ability to independently apply main tools and methods