Ethics, Linear Regression and Machine Learning
Students will use Python and a known algorithm to produce a solution using Linear Regression to predict an Artificial Intelligence (AI) solution in either Education, Music, Credit Card Fraud, or Sports.
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Students will use Python and a known algorithm to produce a solution using Linear Regression to predict an Artificial Intelligence (AI) solution in either Education, Music, Credit Card Fraud, or Sports.
Students will identify parts of an electric vehicle, determine their various functions through a webquest, and then use these EV parts to write a script for the next cartoon episode… “Field Trip through the Electric Vehicle”
Students will build a wind turbine using recyclable materials (or RAFT kits) and learn about the role of a generator in transforming the kinetic energy into electrical energy.
Students will build a car using recyclable materials (or RAFT kits), trace the energy transformations happening in the process, and race them!
In this lesson, students will predict and develop understandings of common myths related to electric vehicles through an interactive slide deck. They will create a social media post dispelling one of these myths.
Students will design their own summer road trip including the electric vehicle that they will drive, the distance between charges, charging locations, and overall cost.
At the Shaqfeh Lab, I worked on creating a robot that could easily move through non newtonian fluid. A non newtonian fluid is any type of fluid (gas or liquid) that does not behave like water, i.e. corn syrup, synovial fluid, molasses.
Students will learn the lifecycle of a semiconductor, from a silicon ingot to a microchip that can be installed in a complex electronic device.
Human influences, explanations, and possible solutions to ocean acidification’s impact on coral reefs are explored and presented through an interactive poster where students program their tangible posters with a microcontroller/Scratch.
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