How to is an anthology series consisting of detailed answers to questions asked by students in our Discord server. Questions can be from any discipline, any difficulty level - if we don't know the answer off-hand, we'll research the topic or find someone who does. Answers are provided on a first-come, first-served basis, and we typically try to maintain a 48 hour turnaround time for requests.
Work in Progress is our main Kepler-level series focused on multi-disciplinary engineering and applied science.
As the late, great astrophysicist and science advocate Carl Sagan once said: “If you wish to make an apple pie from scratch, you must first invent the universe.” With that great quote in mind, this is a series where we bake the whole pie. In each season of Work in Progress we propose a practical project, lay out specifications, then discuss all of the relevant background knowledge necessary to take that project to completion.
Work in Progress projects generally air live weekly; student participation is highly encouraged!
Beyond open source - this is open development! Open Engineering is like the big brother of Work in Progress - whereas WiP focuses on relatively straightforward projects with educational applications, OE focuses on challenging, multidisciplinary problems on the critical path. Although anyone is welcome to watch and contribute their questions, commentary, and support, be aware that this is a Newton-level show focused on advanced skills and problem solving.
Direct collaboration for all OE projects is invitation only. If you would like an opportunity to collaborate, we recommend starting with a Kepler project or Work in Progress first.
Foundations is our main Copernicus-level (middle or early high school) series focused on advanced mathematics and computer programming.
To get serious about science and engineering, first you have to speak the language – and that language is mathematics! Dr. Foland has crafted a unique approach to higher-level math with a backbone of programming, allowing students to leverage computational resources to solve practical problems that would be out of reach otherwise. In this series, we will explore topics like statistics, linear algebra, and the fundamentals of calculus, all with a side of programming in Python.