This repository contains all of the code and data related to the module Natural Language Processing taken as part of the MSc in Cognitive Science at Aarhus University.
This repository is in active development, with new material being pushed on a weekly basis. Slides will be uploaded to Brightspace.
For the sake of convenience, I advise that everyone uses UCloud for development purposes. You can then fork this repo and pull any changes that are made on a weekly basis.
For those of you who do not wish to use UCloud, you are of course welcome to use your own machine. However, due to time constraints, we will not be providing any technical support if you choose to go this way.
If you still want to use your own machine, make sure to have at least Python 3.7 installed. Some of the code developed in the classroom will not be backwards compatible with earlier versions of Python.
This repository has been initialised with the following directory structure:
| Column | Description |
|---|---|
classes |
Instructions for each of the classrooms. |
src |
A folder for Python scripts developed in class. |
syllabus |
Containing a markdown file with the course syllabus and readings, as well as a file listing additional resources. |
nbs |
Will contain the solutions to assignments and classes. |
data |
Will contain data we will use for some of the exercises. |
The general structure for classroom instruction is the following: I will present you with a few exercises, which you can work on solving in class and at home. The week after, I will provide my solution to the exercise, and briefly guide you through it. We can discuss your own solutions in class too, but I will not be able to provide individualized feedback (and assignments will not be graded).
Lectures take place on Tuesdays from 08-10; classroom instruction is on Wednesday from 10-12. For security reasons, I'm not going to post the room numbers to Github - you can find this via your AU Timetable. NOTE: the location for October 25th is different from all other weeks!
A detailed breakdown of the course structure and the associated readings can be found in the syllabus. Also, be sure to familiarize yourself with the studieordning for the course, especially in relation to examination and academic regulations.
Make sure to read the studieording first if you have any questions relating to the course organisation, exam format, and so forth.
Your lecturer for this course will be Roberta. If you have any problems with the course or questions that you want to ask, just get in touch.
All communication to you will be sent via Brightspace.