New Service!
Better Informatics has launched BetterInformatics File Collection to replace the shared Drive:
files.betterinformatics.com
Please use it for your studies and contribute!
We are also actively looking for people to help maintain BetterInformatics services. Chat with us on Discord or email!
Exams | official list
General handbook Edit on GitHub
don’t stress yourself out too much, first year doesn’t count towards your degree
- LaundryView
- Common Outside Course Options for Informatics Students
- Year 1 Google Drive
- mailing list archives - ug1-students
- if you have a learning disability go to the disability service! make sure you go there long before the exams, it only takes few hours and can help you quite a bit.
- Programming Club
- InfBase: a drop in helpdesk for you to get additional tutoring and support with your courses. See the schedule here - there’s no need to sign up, just drop in
Cognitive Science | drps, info, papers April/May exam Edit on GitHub
- Book about neural networks - recommended by the lecturer
- 3Blue1Brown - really clear videos explaining neural networks and backprop
- Visualising Clustering - video from Google
- Deduction vs Induction
- Word learning models - concept map with key ideas
- Amazing flash cards - key definitions
- Full course notes and posters - 2018
Priority reading list
All of the readings are examinable, but if you want to prioritise, here is the recommended order:
- Chapters 1, 2, 3, 4 and 7 of Pinker’s “Words and Rules”, minus places where there’s no relevance to lecture content
- Chapter 4 of Harley’s “Psychology of Language”
- Any academic paper covering something you’re not sure you fully understand. For example, if you’re not 100% clear on perceptrons, have a look at the Gurney reading
Linear Algebra 1 drps Edit on GitHub
Until 2024, a similar course called “Introduction to Linear Algebra” ran. Not everything is the same since the change to “Linear Algebra 1”. Beware when using checking old exams or other people’s notes!
- Poole textbook: The Nicolson textbook is fairly hard to learn from, so it may be worth finding a copy of David Poole’s Linear Algebra: A Modern Introduction, as it is much better at explaining concepts.
- No bullshit concept maps good for seeing the big picture in the course
- Linear algebra explained in 4 pages good resource to give you general idea. Might be worthwhile to go through it before the start of the course.
- Explanatory videos from Mathapptician
- Khan Academy videos
- Essence of Linear Algebra (videos) by 3blue1brown - covers a large part of the course and gives greatly intuitive ways of understanding what the formulae really represent
- Answers for Poole (3rd edition, 4th edition)
- Symbolab has extremely good support for linear algebra operations (and is great with other areas of maths too)
- Cheat sheet PDFs of the definitions and theorems to save you time in the exam (no need to search through the textbook)
- Not All Things ILA - better ila cheat sheet
Object Oriented Programming | drps, info None exam Edit on GitHub
- Online book
- Enable auto complete on Eclipse
- Past papers, and their additional files
- Some past paper answers
- Automarker service - use this to mark your past papers
- Lambda functions tutorial
Proofs and Problem Solving Edit on GitHub
- Printable notes with all of the course material
- Twelvefold way for combinatorics problems.
- Learning how to use sagemath may come in handy for checking your answers in later parts of the course (especially for modular arithmetic and permutations)
- The course will follow the book A Concise Introduction to Pure Mathematics, by Martin Liebeck, 4th Ed. 015, CRC Press, £25.99
- To pass the course you must achieve an average of more than 40% AND at least 40% in the examination.
- Cheatsheet with all the notations, definitions, theorems, propositions, and examples from the textbook (condensed into 38 pages) grouped by sections: pdf, source