ClassHook uses the latest in artificial intelligence to understand the contents of its clips. You can use
In-Video Search to search within videos for objects, settings, attire, and more.

In-Video Search helps you find clips…

…taking place in specific settings (ex: classroom, supermarket, restaurant)

…containing certain attire (ex: suits, dresses)

…conveying certain emotions (ex: happiness)

…containing specific objects (ex: rainbows, blackboards)

…depicting specific situations (ex: speeches, presentations, social groups)

…of a certain animation style (ex: cartoon, live action)

In Episode 207, "Convergence," an old college rival comes to CalSci (Marshall Penfield, played by Colin Hanks,) to present new research on a gap he has found in Charlie's proof. Although Charlie does find a way to resolve the error term, it isn't clear to many people watching still what type of math Charlie really does do! What he studies falls into the area of probability and statistics involving what are called "random matrices." While the first activity has no prerequisites, the latter activities all assume some basic knowledge of linear algebra, matrices, and determinants.

In this clip, the main mathematical concepts derive from a field called game theory. The goal of game theory is to take some social situation with some notion of winning and come up with a formal, mathematical way of discussing it.

Charlie explains how he narrows down a suspect pool using reverse decision theory. He compares decision theory to a hunter. You can use decision theory to see what animal a hunter is most likely to kill. You can also use the reverse and look at a kill and determine which hunter was most likely to have hunted that animal.

The teacher poses to his students the Monty Hall problem, which investigates the probability of choosing a correct answer given three options and the subsequent probability of changing the original choice. The teacher explains why his students' instincts are not correct.

Charlie talks about surface tension in water and why it makes drops of water try to be spherical and puddles attempt to become circles. He also talks about optimization theory and how it applies to matching organ donors with people who need organs.

Charlie, his dad, and Larry discuss Bayesian theory and how statistical improbabilities happen all the time. They use the example of the creation of the universe