The Lynchburg Computer Club hosts one lunch time talk every month at Vector Space to share technical ideas and experiences in a variety of computational fields among people from a variety of backgrounds. These talks and workshops span the Venn diagram of electronics, computing, and mathematics, ranging from fundamental knowledge as old as Jacquard’s loom, to bleeding edge technologies. It’s a chance to get outside your bubble and to see how others use computers to solve problems found in industry, academia, government, and the home lab.

The success of this club relies on you, so please, get invovled and propose a talk in the form below.

Having trouble thinking of a topic? Here are a few from my list to help get you thinking:

• Mesh networks
• Proxmox and virtualization
• Compilers gcc vs llvm
• Python
• Pandas
• 8 bit vs 32 bit and homography
• RISC-V architecture
• OpenCV
• Nextcloud
• Solving Project Euler in 5 languages
• Cave thermostat
• Ulisp (an embedded lisp)
• Learning languages like LOGO and Scratch

Style Guidelines

Talks are 45 minutes long, with another 15 minutes for question and discussion.

When crafting your talk, assume the audience has a strong foundational understanding of how computers work, but does not have experience or even knowledge of your particular subject.

For example, in a talk about computer vision using OpenCV, assume the audience knows what computer vision is, but has never used OpenCV. Focus on providing examples of the OpenCV library, assuming a basic understanding of C++ and Python code, taking the time to instead highlight the OpenCV API. I would take a minute to remind you what a Fourier Transform is and how it's applicable in this context, but I'd assume that would be enough to ring a bell. When it comes to less general mathematical ideas and those that are more specific to the field being discussed, like line detection using the Hough Line Transformation algorithm, I'd take the time to explain it in full.