Unfortunately, it does not. These lectures are "mine", in the sense that I developed all of them myself, but the homeworks and lab exercises are the combined efforts of generations of TAs and instructors from the past. It wouldn't be right for me to give them away. (they are also reused from time to time, so there are academic integrity concerns with that also)

If you get to around lecture 9, a classic example I always tell people to start with is a calculator!

For instance, here's the SML code for it:

``` datatype exp =

    Num of int

  | Plus of exp * exp

  | Minus of exp * exp

  | Times of exp * exp

  | Div of exp * exp

```

Implement the function `eval : exp -> int`, which evaluates the expression as best as it can. Assume no division by zero.

Extra credit: Can you implement `eval' : exp -> int option`, that returns `SOME n` if the expression evaluates, and `NONE` if it divides by zero?

Not exactly exercises, but there's https://smlhelp.github.io/book/docs/ which supports the course and explains each of the concepts as well as library documentation at the official class site, http://www.cs.cmu.edu/~15150/resources.html

It looks like their current workflow keeps exams and homeworks off the internet effectively, but there's a 6-year-old codebase at https://github.com/zhengguan/15150-1 with 10-year-old homeworks and such.

Rewriting standard list functions (map, fold, sum, etc.) is a good entry-level exercise.

A λ-calculus interpreter can be used as an intermediate level exercise. It is in particularly valuable in the context of solidifying one's understanding of functional programming.

You can also use "standard" textbooks, such as the SICP [0], and perform the exercises using the language of your choice, instead of Scheme/LISP.

[0]: https://mitp-content-server.mit.edu/books/content/sectbyfn/b...

making up your exercises is part of that fun journey of creating your own toolbox of functional programming in your language of choice!