Welcome everybody to the first lecture in the AI-1 course.

My name is Michael Kohlhaase.

I've been giving these courses for a while now here at FAU.

And AI-1 is the first of two courses.

There's an AI-2 course.

There should probably also be an AI-3 course,

but unfortunately we don't have that,

so we call those specialization courses.

AI-1 and AI-2 together are a broad but somewhat shallow

course that give you insights into the various things in AI.

And you can think of this as kind of a stroll

through the vegetable garden where you can kind of look at every plant,

sniff at every flower

but we're not eating everything in it.

OK

so in any of the areas I'm going to present to you

and later I'll give you an overview,

there's much

much

much more than I can and will teach you.

Any of these areas could have a series of specialized lectures.

And for some of them, or many of them, we actually do have those.

So the idea is that you kind of get a broad understanding of what's there

and then can see what you like best to specialize.

I'm going to try and teach you the ideas behind these things

the algorithms behind these things,

and a way of telling whether the problem you have out there

might be suitable for this area or for that area.

And that is

I think

something students of AI should be able to do

because contrary...

See?

...NI, natural intelligence, works.

So...

Now I've lost what I wanted to say.

That's fine, it'll come back to me.

So I'm very happy to see you all here.

Right.

Today we do the boring stuff,

namely

kind of the

what are my goals in teaching here?

What are the things we're going to look at?

And what are the things we're not going to look at

and the things we're not going to do?

And the administrative ground rules, right?

How do quizzes work and all of those kind of things?

So...

Right.