Me too. I'm guessing they'll hear the word "perceptron" less than I did. Probably less Matlab and Prolog will be taught as well. I can't remember whether the Semantic Web course was CS or AI, but I suspect that won't come up, either. Fashions have probably changed enough that their probably won't be that much crossover.

For me at least, it depends almost as much on who's doing the teaching than it does what's being taught. Generally for me, the highlights were any course taught by Barbara Webb or Jon Oberlander.

>"Me too. I'm guessing they'll hear the word "perceptron" less than I did."

Why would that be? The Perceptron is very much a part of Neural Networks no? Wouldn't it be common now?

I understand about Prolog being a big part of AI curriculum from that time but why was the Matlab so heavy?

Back then perceptrons (single neurons with engineered feature inputs) were a lot closer to cutting edge than they are now.

As for why Matlab was used a lot: because it comes "batteries included", I suspect. Probably the same reasons that Andrew Ng used it as the teaching language for his Stanford/Coursera Machine Learning course. Plus a lot of my lecturers had maths backgrounds.