Early on, it was claimed that almost every function in 150 would be recursive. This lecture introduces a very deep idea that induction and recursion are two sides of the same coin, and follow similar principles of solving problems via using answers to smaller subproblems.
We reviewed the idea of induction, which lets us prove theorems on the natural numbers by a rigid structure of a base case and inductive step. This lets us essentially show that a theorem can be proven for any given number, via finite repetitions of the inductive step to the base case.
This process ends up being very similar to the act of writing a recursive function, by connecting the idea of assuming an induction hypothesis with assuming that a recursive function already works, a technique dubbed the recursive leap of faith.
We then went over more aspects of the SML language, including patterns, which are the fundamental constructs by which we break down data into simpler parts, in SML.