The Iterative Nature of Science
The nature of science is more than students following a recipe of instructions in a laboratory experiment. Students are required to learn how scientists acquire knowledge through the process of scientific discovery. They learn by doing science as scientists behave in the lab.
CyberGames
Students will explore cybersecurity and the vulnerabilities equity process (VEP) to learn how the government uses information acquired for cybersecurity purposes.
Design and Simulation of Self-Driving Cars using Optimal and Machine Learning based control systems
The Ignited summer fellowship at Stanford enabled me to jumpstart my knowledge and curriculum development towards developing autonomous vehicles control systems.
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.
Advanced Through an Electric Vehicle
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”
Harnessing the Wind
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.
Mini Grand Prix
Students will build a car using recyclable materials (or RAFT kits), trace the energy transformations happening in the process, and race them!
Mythbusters - EV Edition
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.