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.
Teams of students will investigate, develop, and test an apparatus that cleans a dirty water sample and describe how it works.
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.
Kindergarteners will visit College Hill Learning Garden to explore real plants, taste garden-grown food, and engage in hands-on activities that reinforce classroom learning about nature.
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 work in stakeholder teams to analyze a shared Bay-Delta food web model and build science-based arguments—through environmental and economic lenses—about how proposed water flow changes affect ecosystems and community livelihoods in preparation for a town hall debate.
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.