Functional Programming in Haskell

Due Monday Sept 9th @ 9 am

From this assignment, students will show...

Software Ecosystem and Development - Recall

by using the project management software stack to manage a haskell project with multiple files and import libraries.

Abstractions and Representations - Recall

by designing and using an internal representation using algebraic data types and exporting an abstract interface using code hiding and modules.

Functional Programming - Recall

by completing small functional programming examples to implement the familiar tools from scheme and ML.

You will need...

a git client (command line) or access to the web cs github interface
a text editor
access to the Exemplars GitHub Repo and your private homework repo
access to stack and haskell-platform -- either locally or on the homework servers.
access to hoogle - a search engine for Haskell

Let's begin

Pull the latest Exemplars Github Repo
Copy the hw01-1-functional-programming-in-haskell into the hw01-1 directory in your private repo.
Fill in the undefined expressions in the src/Lib.hs
Instantiate a definition for the Logger ADT and finish its abstract API.
Translate the unsugared main function in app/Main.hs into do notation .
In the hw00-1 directory in your private repo, please create a file META.md with:
- Your name and eecs linux username
- How long it took you to complete this assignment
- For each objective above that "students will show...", a sentence about why you believe your work meets that objective.

Step-by-step instruction

Correction: learning objectives for this homework should be as they appear on the site

Some Basics

ADTs

using IO and do notation

META.md

META.md should include

your name
your utln
how much time you spent on this assignment
the witness "proof" for how you earned each learning objective

Please Submit

Contents to be submitted

familiar-functions haskell project
META.md

Method of submission

Please commit your changes in the hw01-1 directory of your private repo and push them to the remote server before 9am on Monday 9/9. We will run the script that pulls them from the remote server promptly at the beginning of class. See the syllabus or email the instructors if you have any questions.