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“We have university at home” but it's a list of materials I actually used

··323 words·2 mins
In Progress Math Programming Python (PL) Statistics Functional Programming Dutch Language Italian Language
Table of Contents

I was going to release my self-study curriculum (dubbed “AI & Neuroscience degree“), but for now – and probably for the foreseeable future – it’s a beautiful mess full of links which I haven’t opened and therefore can’t wholeheartedly [not] recommend.

The list below is divided into subtopics. Subtopics are in alphabetical order, not in the order me, you, or anyone else should study those. The sources go in ~order:

  • lists of links
  • all-in-one textbooks/courses
  • broader explanations [e.g. “matrices in linear algebra“]
  • narrower explanations [e.g. “matrices multiplication“]

Someday I will be able to comment on why I used those and what my impressions were. In this case I expect myself to write both/either:

  • a small review in this list
  • a separate page – in this case the source title will become purple, indicating the link

For the month-based review of what I was studying see the original “We have university at home”.


IT-related#

Programming Languages
#

Python: Basics
#

Programming Paradigms
#

Functional Programming
#

  • Normand, Eric. Grokking Simplicity: Taming Complex Software with Functional Thinking. Manning Publications Company, 2021.

Languages
#

Dutch
#

  • Berendsen, Bieneke. ‘Learn Dutch • Online Dutch Grammar Course’. Accessed 4 October 2025. https://www.dutchgrammar.com/.

  • Schmitz, Tijn, Robert Chamalaun, and Mirjam Ernestus. ‘The Dutch Verb-Spelling Paradox in Social Media’. Linguistics in the Netherlands 35, no. 1 (2018): 111–24. https://doi.org/10.1075/AVT.00008.SCH.

Italian
#


Math
#

Statistics
#

  • Agresti, Alan, Chrstine A. Franklin, and Bernhard Klingenberg. Statistics: The Art and Science of Learning from Data. Fifth edition. Pearson, 2020.

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