Natural Language Processing - Autumn 2022
This repository contains all of the code and data related to the module Natural Language Processing taken as part of the kandidatuddannelsen in Cognitive Science at Aarhus University.
This repository is in active development, with new material being pushed on a weekly basis.
Technicalities
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.
Repo structure
This repository has been initialised with the following directory structure:
| Column | Description |
|---|---|
classes |
Instructions for each of the classrooms, including assignments. |
src |
A folder for Python scripts developed in class. |
syllabus |
Containing a markdown file with the course syllabus and readings. |
Class times
Lectures take place on Wednesdays from 08-10; classroom instruction is on Friday from 12-14. For security reasons, I'm not going to post the room numbers to Github - you can find this via your AU Timetable
Course overview and readings
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.
Contact details
Your lecturer for this course will be Ross. 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 both on Slack and via Blackboard. If you need to get in touch with Ross, Slack should be the first place to try - you'll likely get a quicker response!