[ryanSrich]

For programming, the way I would build a curriculum is to force students to actually learn how to program and code first. This is simple by requiring them to write code inside the classroom by hand for all exams.

I would make this the focus for 90% of the first 2 years of their degree.

I would then have them spend 75% of their last 2 years learning how to use and program with AI. Aside from knowing how things actually work, there's no more important skill now than mastering AI.

[delis-thumbs-7e]

First part is basically my degree. You can cheat as much you want, but when you have to write algorithms by hand on paper in the exam it doesn’t matter - you will have to learn. Then depending what you want to do for masters it’s basically machine learning, which mostly mathematics.

I don’t know why you’d need to teach anyone to code with LMM’s though. If you are a CS major (or any reasonably intelligent person) and can’t figure it out on your own, well, workd needs bakers and carpenters still you know?

What I am learning is mathematics, which what all CS including AI and machine learning, really is. ”Mastering AI” for me means building your own models and AI applications and undestanding linear algebra, multivariable calculus and the propability theory behind it all.