Making Sense of your Data

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. Given my understanding of the current systems I was able to automate some processes that will help support the streamlining of the QNOTE closures. While I was a fellow at Lockheed Martin I had the opportunity to develop my power query skills, python coding skills and some VBA coding. These various coding and data manipulation skills allowed me to problem solve the automation issue in a much more efficient manner. I will transfer this experience to my students by creating a lesson in which students learn about probability density functions and continuous distribution functions.

In these lessons the goal is that students develop problem solving skills and collaborate as they code in SPSS syntax to meet the measurable objectives. The lesson length is 2 days and each lecture is 75 minutes. The goal is for students to think critically, analyze and assess the application of SPSS and new software to solve PDFs in various forms of representations: raw, visual, symbolical etc. Additionally student should be able to apply these understandings to solve real world problems.