Join us to hear from Julietta Sheng, who will share how her doctoral training in neuroscience continues to shape her work at the Engineering Biology Research Consortium (EBRC).
Given the rise of information and data in today’s world, we need various methods and approaches to analyze them, whether it is to make predictions from given information or to categorize them into different groups based on observed trends.
This video is part of the "Code For Change" unit, Lesson 4: "The Internet", of the Cybersecurity Career Awareness Project (“C-CAP”) curriculum video series.
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.
How does “hey google” know what genres of music you like?. “Learn from Experience” helps students explore the concept of Machine Learning with an activity that goes through the steps of how to train a computer to learn and how to use the learned experience to predict an outcome.
Complex organizations like Lockheed Martin gather large amounts of data from various sources. While data collection has been automated, data analysis and communication still requires human capital.
This lesson walks students through the process of using an API key (which is a method that most online services use to authenticate users of their APIs) and using it in python scripts to access stock exchange APIs with results returning in the form of JSON files.
The goal of this ETP is to engage students in an engineering experience much like the engineers at Synopsys go through.
In this lesson students develop and execute a promotional plan for a business they will develop in this course. Students will engage in one of two businesses the course will offer: either a screen-printing service or a laser cutting and etching service.