In this presentation, we discuss new capabilities in MATLAB^® and Simulink^® in the area of signal processing and communications that make it easier to develop successful project-based curricula.

Project-based learning is an effective method for creating excitement in the student body, deepening their skill level, and connecting their theoretical knowledge to hands-on practice. In technical fields of study, particularly signal processing and communications, the challenge for introducing these programs is bringing together a diverse set of expertise in hardware, software, and curriculum development.

The widespread use of MATLAB and Simulink in science and engineering has enabled many professors to develop MATLAB based curricula. With the introduction of hardware support packages, all the pieces are now in place to create effective project-based learning courses.

Through case studies and examples, we highlight multiple applications, including:

• Signal analytics and classification applied to data gathered from wearable and mobile devices
• Audio and heart sensor applications with low-latency desktop processing and prototyping on ARM^® Cortex^®-M and Cortex^®-A
• Wireless connectivity to software-defined radios (SDR) and over-the-air testing of wireless signals

Through demonstrations, we show how you can set up labs and develop courseware to facilitate your research and teaching projects.