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?
What does clean water have to do with math? This ETP is part of an inquiry-based unit that aims to engage students in using math, science, and engineering skills in a critical and creative way.
From the moment we wake up, our brains use data to help us understand the world around us and act accordingly. We don’t only gather data for the sake of it. We don’t even do it with the purpose of analyzing it, but for it’s interpretation and implications that this has.
In order to make informed decisions, students must know how to properly analyze and interpret data. This is one of the main learning goals in my physics classes.
The purpose of this ETP is to provide physics teachers a bite-sized approach to begin implementing design thinking into their scope and sequence.
A fundamental aspect of how Deep Learning systems work is that they make predictions about how a function should fit some test dataset, evaluate the errors from that function to the test dataset, and modify that function to reduce the errors.
Fifth graders are curious about the world around them and use a lot of social media. Do students understand what their brain can do and how the use of social media or too much computer time can impact their brains and bodies?