In March, I have been instructed by my supervisor to have three lecture sessions for university students.

I had a variety of ideas, but I thought, well, "'AI' would be popular these days," I replied to the professor.

Now, the "preparation for lectures" is giving me a headache.

-----

I think I can keep speaking bullshit English for about an hour of the lecture.

That training was completed 20 years ago.

The problem is "practice problems".

AI is basically 'violent forced computation' using computer programs.

"How to have students who do not know programming practice the AI calculation process in a "classroom" setting, using "hand calculations" and "calculation paper"

This is unimaginably difficult.

Frankly, I don't know where to start.

In addition, the restriction of 'only one hour of lecture time' has been a pain for me.

For example, I would like at least "5 hours" to explain the AI techniques of Bayesian and fuzzy reasoning, but currently I have only 15 minutes each.

I have a feeling that if I go into the lecture as it is, 'it will be the most boring lecture imaginable'.

This is why I have been keeping my head in the sand for the past few days.

-----

I think I understand a piece of "why math education can be so boring".

It was here that I came to the realization that 'to make math education fun, we need at least five to ten times as much time as we have in our current frames.