This repository contains all of the code and data related to the Spring 2023 module Visual Analytics as part of the bachelor's tilvalg in Cultural Data Science at Aarhus University.
This repository is in active development, with new material being pushed on a weekly basis.
The coding part of this course will be run entirely on UCloud. This is to ensure that everyone has access to the same computing resources and to avoid potential conflicts with different operating systems, different versions of Python, and so on.
Students are welcome to develop code locally on their machine instead. However, please not that no support will be given for potential problems or errors you encounter!
This repository has the following directory structure:
| Column | Description |
|---|---|
data |
A folder to be used for sample datasets that we use in class |
notebooks |
This is where you should save all exploratory and experimental notebooks |
src |
For Python scripts developed in class and as part of assignments |
syllabus |
Contains a full course syllabus and reading list |
utils |
Utility functions that are written by me, and which we'll use in class. |
This class takes place on Fridays from 11-15. Teaching will take place in person, and you can find the room number via the AU Timetable website.
A detailed breakdown of the course structure and the associated readings can be found in the syllabus. Also, be sure to familiarise yourself with the studieordning for the course, especially in relation to examination and academic regulations.
The instructor is me! That is to say, Ross.
All communication to you will be sent both on Slack and via Blackboard. If you need to get in touch with me, Slack should be your first port-of-call!