Lectures — Game Theory

Let me be honest with you. I walked into my first Game Theory lecture expecting a semester of The Dark Knight . I thought I’d spend fifteen weeks watching clips of the Joker blowing up ferries and nodding wisely about "rational actors."

It is a difficult class. It is a math-heavy class. But if you stick with it through the lecture on Bayesian Games, you will realize you aren't just learning economics. You are learning the operating system of human strategy.

The magic happens during the module. The professor draws a tree diagram. You have two players: an Entrant and a Monopolist. The Entrant decides to "Fight" or "Acquiesce." The Monopolist decides to "Price War" or "Accommodate." Game Theory Lectures

That lecture is a humbling lesson for every control freak in the room. Sometimes, the best strategy is not having a fixed strategy at all. Yes, we have to talk about the classic. But in a good lecture, you move beyond the meme.

You look up from your notes. You realize your friend just bluffed you in a negotiation yesterday. Your brain tingles. That’s the dopamine hit of a good lecture. Everyone loves the Pure Strategy lectures. They are clean. "If they go left, I go right." But then comes Lecture 7: Mixed Strategies . Let me be honest with you

Instead, I got a blackboard full of matrices, strange squiggly lines, and a professor muttering about "common knowledge of rationality."

You learn to solve this via Backward Induction . You start at the end of the game and rewind. Suddenly, you realize the Monopolist is bluffing. A price war hurts them more than you. Therefore, the Entrant should always enter. It is a math-heavy class

But then, around the third lecture, something clicked. Suddenly, I wasn't just solving equations. I was realizing why traffic jams happen, why companies lower prices until no one makes a profit, and why my roommate never washes the dishes. Game Theory lectures don't just teach you math—they teach you how to read the room of reality .

And that is worth sitting through a few messy matrices.