### 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

### Calculus and its Applications drps Edit on GitHub

- Fox’s notes (src)
- Cheat sheet PDFs of the definitions and theorems to save you time in the exam (no need to search through the textbook)
- SympyGamma - a tool similar to WolframAlpha, but also offering explanation for derivations.
- Answers for Essential calculus
- Riemann sums online calculator
- Lots of formulae
- Amazing mindmap
- Tests of Convergence: cheat sheet, flow chart
- Not All Things CAP - better cap cheat sheet

### Cognitive Science | drps, info 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

### Object Oriented Programming | drps, info 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