Study guides, Class notes & Summaries

Here is the summary of both the powerpoints and additional lecture notes. For example, it is not necessary to read the extra book on Ufora. I followed all the lessons and always paid close attention. This makes the profession certainly feasible, it contains a lot of details, but Limberger is the man of the big picture (keep this in mind if you are studying the subject or are running out of time)

Created in 2023/24

This is a summary of the texts you need to read (Gramsci, Latour, Fanon, Bourdieu, Hoosk) for the study of social work literature course AND the notes/notes of the lessons. In the document, you will also find frameworks where the terms are further explained.

This is a summary of the text you need to read (Bruno Latour) for the study of social work literature course AND the class notes/notes. In the document, you will also find frameworks where the terms are further explained.

This is a summary of the text you need to read (Fanon) for the study of social work literature course AND the lesson notes/notes. In the document, you will also find frameworks where the terms are further explained.

This is a summary of the text you need to read (Bourdieu) for the study of social work literature course AND the class notes/notes. In the document, you will also find frameworks where the terms are further explained.

This is a summary of the text you need to read (Bell Hooks) for the study of social work literature course AND the lesson notes/notes. In the document, you will also find frameworks where the terms are further explained.

This is a summary of the text you need to read (Gramsci) for the study of social work literature course AND the lesson notes/notes. In the document, you will also find frameworks where the terms are further explained.

This comprehensive document covers all the concepts that may be asked for during the exam. The concepts are explained on the basis of lecture notes (notes) and texts. With this document, you have more than enough information for the exam.

Summary of the Machine Learning course at Ghent University, given by Dries Benoit. For Data Science for Business and Business Engineering, first master