CAIT Initiative
This initiative was started by the ML teacher community at TU Delft in their attempt to increase collaboration between different lecturers in their preparation for their courses. This platform was developed to facilitate sharing machine learning education materials between TU Delft teachers. We are looking for feedback to improve this platform and make it useful for you!
Materials
The smallest and most common unit of publication on the platform represents a collection of files, which are described by the users with metadata such as title, publication, difficulty and tags. One such collection can include files of a variety of types (PDF, Python notebook and more).
Material publications can be of several types:
- Video
- Lecture Notes
- Assignment
- Slides
- Exam Questions
- Other
Circuits
The circuit is a type of publication, where you can organize and define connections between multiple publications. In a circuit, you can add a materials publication that was described above or another circuit in a node. These nodes can be connected with directed edges which represent the suggested order of examining the publications.
Reputation
The reputation system in the platform is based on the quantity and quality of the publications a user publishes. It reflects on the activity of the user and how others rate their publications and comments.It is directly proportional to the number of publications, comments made and stars a user has received. If another user saves or indicates that they use your publication, this will be reflected in an increase of your reputation.
