Have you considered ways to bring your course material closer to real life? Are you concerned that students are losing interest in engineering science? Project-based learning is an effective teaching method because students can see, hear, and touch what would otherwise be abstract. In this session, we show how MATLAB and Simulink can easily interface with a broad range of affordable hardware.

Topics include:

• Interactive prototyping of algorithms for controls and image and signal processing
• Simulating and testing algorithms with physical hardware components
• Deploying real-time systems on low-cost hardware, such as Raspberry Pi™, LEGO® Mindstorms® NXT, and Arduino®