As somebody who has practically no post-secondary and just likes to tinker in the garage. I thought it might be nice to get an education of some sorts so I could stop wasting time doing stuff like flipping signs till it works.
I went through an EE associates program at my local community college after I’d graduated with a BA, purely because I wanted to know how to fix/modify/tinker with audio equipment. I went at night, part time, and it was easily one of the best experiences of my life. Like yourself, I had some amateur experience already, and as the gaps were filled I had at least 4-5 truly paradigm shifting moments where multiple concepts finally clicked together and whole swaths of the world suddenly made sense. I found elegant connections in the physics, familiar logic applications, and gained a lot of insight that I hadn’t expected, which helped reinforce my sense of just how little I will ever really know.
Even though the purpose for taking those classes was largely personal, it’s materially contributed to my career in a lot of indirect ways (I’m an IT consultant and Linux sysadmin) by giving me a unique perspective for how things function on a much lower level than my colleagues who just have CS educations. I can troubleshoot Wi-Fi and signal transmission issues using spectrum and vector network analysis which makes everyone look at me as if I were a witch. I am comfortable disassembling and repairing equipment like scanners and commercial printers, with lots of moving parts and mains electricity that other techs won’t touch.
All that said, I highly recommend attending an EE program, and even though you’ll feel like a big, wrinkled brain smart person—you will never stop turning it off and on again, bit-bashing, or sign flipping—all quite valid techniques for when the years of diligent study and experience loses out to fat fingers and poor eyesight.
EE is very rewarding. I think it is only second to physics and nuclear eng in terms of how deep they go into physics.
You also cover a wide array of topics, from hardware and how it works to a lot of systems programming (e.g: real-time operating systems, kernels, device drivers) some computer science theory (mainly automata theory and concurrency like petri nets) to signal processing which includes audio to heavy yet extremely beautiful math topics such as control theory.
