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.
Marathon Petroleum is a leading, integrated, downstream energy company.They operate the nation's largest refining system, are one of the largest midstream operators in North America, and have a nationwide retail and marketing business. Cars are one of the most vital products in the US.
This is a two-day math lesson where students will play the role of Cisco’s CFO and decide whether building a new campus makes financial sense for the company.
At Lockheed Martin, I worked in the FBM Avionics department to understand the current systems and processes related to QNOTE closures. I was able to meet a myriad of engineers, technicians and other LM members who allowed me to see a glimpse of their work experience.
Students use real city data to create tables and scatter plots, calculate trends and balance points, and analyze the relationship between monthly water use and temperature, applying math skills to a real-world water management scenario.
The normal curve model (density curve) is a topic in statistics that is very vital to understand, to be able to succeed in grasping the concepts of probability models, which is a heavy focus in the AP statistics course.
In the Dynamic Design Lab at Stanford, their self-driving race cars collect over 8000 pieces of data every second which comes to almost 1,000,000 pieces of data per lap on the track.
This two to three day lesson allow a students to create a hypothesis on what makes a good Algebra student, then analyze data in order to see if their hypothesis holds.
The CHARM lab at Stanford studies haptic devices (devices that give people tactile sensory feedback) and how these devices can be used to enhance learning. The goal of this fellowship is to create a lesson plan that enhances student learning using a particular haptic device.