The purpose of STEM Talks! is to give high school students the opportunity to talk to scientists about their career and/or how their job is related to math and science.
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.
This lesson will give students the opportunity to use the functionalities of Tableau to do visual presentation and analysis of real data that they obtain from experiments done in class.
How many students describe being clueless about how to learn more about the skills they learn in their classes? How many students after high school complain that they don’t understand how the skills they learned in class will translate to a real-life job they have graduated?
In my fellowship at Facebook I am learning about documenting the operation processes of supply chain and custom service operations for Facebook Reality Labs, the consumer hardware division.
In this project, students will utilize industry-relevant data analysis skills to support their research project. Students will learn different statistical tools such as mean, standard deviation, and Student’s t-test to support their findings.