Students define and classify alloys as mixtures, while comparing and contrasting the properties of alloys to those of pure substances. Students learn that engineers investigate the structures and properties of alloys for biomedical and transportation applications. Pre- and post-assessment handouts are provided.

Acting as engineering teams, students take measurements and make calculations to determine the specific strength of various alloys and then report their data to the rest of the class. Using this class data, students write data-based recommendations to NASA regarding the best alloy to use in the construction of the engine and engine turbines for the Space Launch System that will eventually be used to transport astronauts to Mars.

What does the brain look like? As engineers, how can we look at neural networks without invasive surgery? In this activity, students design and build neuron models based on observations made while viewing neurons through a microscope. The models are used to explain how each structure of the neuron contributes to the overall function. Students share their models with younger students and explain what a neuron is, its function, and how engineers use their understanding of the neuron to make devices to activate neurons.

In this lesson on the brain's neural networks, students investigate the structure and function of the neuron. They discover ways in which engineers apply this knowledge to the development of devices that can activate neurons. After a review of the nervous system specifically its organs, tissue, and specialized cells, called neurons students learn about the parts of the neuron. They explore the cell body, dendrites, axon and axon terminal, and learn how these structures enable neurons to send messages. They learn about the connections between engineering and other fields of study, and the importance of research, as they complete the lesson tasks.

Acting as if they are biomedical engineers, students design and print 3D prototypes of pressure sensors that measure the pressure of the eyes of people diagnosed with glaucoma. After completing the tasks within the associated lesson, students conduct research on pressure gauges, apply their understanding of radio-frequency identification (RFID) technology and its components, iterate their designs to make improvements, and use 3D software to design and print 3D prototypes. After successful 3D printing, teams present their models to their peers. If a 3D printer is not available, use alternate fabrication materials such as modeling clay, or end the activity once the designs are complete.

Students learn about glaucoma its causes, how it affects individuals and how biomedical engineers can identify factors that trigger or cause this eye disease, specifically the increase of pressure in the eye. Students also learn how RFID technologies transfer energy through waves and how engineers apply their scientific understanding of waves, energy and sensors to develop devices that measure the pressure in the eyes of people with glaucoma. Students conclude by sketching their own designs for a pressure-measuring eye device, preparing them to conduct the associated activity in which they revise, prototype and evaluate their device designs made tangible with a 3D printer.