Okay, wonderful.

Welcome everybody to artificial intelligence 2.

There is something new as you hear.

I've been asked to give this course in English because there are international students here.

This course will be in English.

I hope that's okay with you.

That makes it much easier for me because I can talk the same as I think about AI, I think,

in English.

Last semester, I had to always translate in my head, which I'm sure you've noticed at

some point.

That's the reason why we're also going to have a new video recording this semester.

Just for my information, are there any people here who've not heard AI 1?

That's a sizable crowd.

Good to know.

The good news is you don't have to.

It'll work without.

I will have back references.

In particular, I'll be using the same kind of agent model as kind of the metaphor behind

everything, which we've discussed last semester, which I'll slightly discuss tomorrow if we

get there.

There are some back references, but they're limited.

There's a good book.

You'll just have to cope.

Now I know, and now I can try to adapt to it.

As always, we'll start with administrative stuff, which I had hoped to just skip over

and say, well, you know it from last semester, but that's not true.

What are the prerequisites?

We'll need a little bit of math.

I'm assuming that's kind of the math you've all heard in some kind of math for computer

scientists or math for mathematicians course.

It's not overly mathy.

I'm going to basically kind of cover things from the ground up.

There is probability theory involved.

I'm going to cover that from a kind of we need it for AI angle.

Some of the things you've probably heard before, possibly from another angle.

We are going to argue about complexity of programs.

One of my surprises in Erlangen was that big O is not something that seems to be at the

front of your awareness.

That might be something you want to look into so that you don't look as shocked when I say,

oh, what's the complexity of the subroutine or something like this?

Those are things we need.

AI1 is nice to have heard, but you can do without.

There's the book.

Of course, the only thing you really, really, really need is interest and motivation and

sometimes a bit of hard work.

That can't be the last slide.

No?

Okay.

So, the assessment.

The module grade will be given by the exam 100%.