Science in the Service of Society aims to increase student awareness of the meaningful applications of the scientific process in helping to increase equity by considering the voices of traditionally marginalized groups when developing plans addressing environmental issues.
In a world of encouraging students to think like scientists and engineers through hands-on, exciting design challenges, at times we lose sight of human-centered design.
We are using Artificial Intelligence (AI) in many areas of daily life.
They say “a picture is worth a thousand words.” This old adage can also be applied to scientific data tables, graphs and infographics. Have you ever sat in on a lab meeting where the scientists were discussing an intriguing figure? They could go on for hours and hours!
While I’ve taught classes on VEX robotics, the curriculum so far has focused on making a robot that can drive and lift. Although these tasks are foundational, I hope to give my students authentic robotics experiences that connect to the problems roboticists are solving.
Students will define the problem of stock market analysis and design models in machine learning to support the analysis.
In this lesson, students will learn about computer simulations for engineering before they develop a GPA calculator and visualizer using a spreadsheet program (Google Sheets or Microsoft Excel).
This lesson series asks students to use a machine learning specialization to explore multiple case studies between various predictive models and analyze an intelligent application that makes predictions from data.
Personalized PG&E usage data is readily available for customers, but what can this data tell us?