[diehunde]

Some I can think of:

- Automata theory

- Complexity theory (P vs NP stuff, not the one from leetcode problems)

- Verification

- Optimization using stuff like genetic algorithms, ant-colony algorithms, particle swarm, simulated annealing, etc. Not sure how to call that area. In my case it was an AI course.

- Fuzzy logic

- Scientific computing and Numerical analysis (CFD, finite elements, etc)

- Information theory

[kingkongjaffa]

> - Scientific computing and Numerical analysis (CFD, finite elements, etc)

Yes please, if we could have more software engineers working on mechanical/aeronautical/civil/<physical> engineering tools that would be great.

Currently the state of the art takes a long time to get out of PHDs and into industry, and when it does it is in the hands of a few companies that sell expensive software licenses.

The likes of at Ansys, Siemens (NX), CD-adapco,

You can access FOSS tools like open-foam but the average engineer doesn't have the skillset to also wrangle the tool as well as their domain problem.

An area I was always fascinated with but never had chance to dig into it was topology optimization to generate structures (or flow paths) to accomodate some given boundaries and physics.

https://en.wikipedia.org/wiki/Topology_optimization

[diehunde]

> Yes please, if we could have more software engineers working on mechanical/aeronautical/civil/<physical> engineering tools that would be great.

That was my favorite subject in college and I wanted to pursue that area but sadly we didn't have any experts in the CS department. All of them were from the Mechanical Engineering department and they were extremely disconnected.