This lesson introduces biotech students to Python programming, guiding them to import, process, and analyze data while learning basic coding concepts and writing simple programs to summarize datasets.
This lesson engages students in designing a sustainable city by analyzing carbon footprints, exploring solutions, and presenting proposals. Students work in groups to identify environmental challenges and create infographics or presentations to communicate their ideas.
This ETP teaches 8th grade science students how to analyze real-world data using scatter plots and lines of best fit. Students determine whether relationships are causal or correlational through group discussion and individual reflection.
Students learn how medicines are developed and processed in the body through hands-on labs and team-based biotech roleplay, designing and presenting a new drug concept while exploring real-world applications of pharmacokinetics and data analysis.
Students will explore pharmacokinetics and the ethical dimensions of drug development by analyzing drug efficacy and toxicity data, connecting biotechnology concepts to real-world issues like healthcare access and equity.
This project translates complex research in statistical mechanics and AI from the Rotskoff Group at Stanford into accessible, hands-on learning experiences for high school students.
Students use a large language model to build an AI app that generates customized explanations of academic concepts at different complexity levels, supporting personalized and accessible learning for all students.
This is a self‑paced cybersecurity workbook series designed for individuals of all ages, helping them explore key concepts around online safety, privacy, and digital responsibility.
The goal of this ETP is for students to understand what cybersecurity is, how it works, and why it matters in today’s world of increasingly connected devices. Students will also explore how their personal choices and actions impact the security of their data and devices.