Automation for the People
Students will investigate machine learning by participating in a short simulation, and then will run through a series of station activities including building a microchip, and a coding activity.
Connecting classrooms to careers
Students will investigate machine learning by participating in a short simulation, and then will run through a series of station activities including building a microchip, and a coding activity.
Students will learn about wind as a type of renewable energy--and how its kinetic energy can be transferred to another object--by building a wind-powered car.
Students will learn about climate change, and will consider how semiconductors play a role in developing energy resources that are renewable.
Students will go through the Engineer Design process to invent a piece of wearable technology. They will interview consumers, ideate solutions, analyze data, and build a prototype to present to the class.
Working in pairs, students will develop an invention or product using semiconductors that has the potential to solve a problem.
Working in teams, students will build microchips using LEGOs, while practicing their soft skills in order to prepare the chips so they are ready for manufacturing.
Students will use systems design to propose ideas for using semiconductor automation systems to improve their communities.
Students will use semiconductors to perform mathematical operations which helps to solve their matrices.
Students will investigate how a switch to electric vehicles will affect climate change, and if the costs incurred will be low enough to convince the average consumer that it is a worthwhile investment.
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