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Past exam of the year 1 of the computer science course of the University of Oxford 2016 Functional programming, design and analysis of algorithms by
Codex 0 2026-10-31
Source paper: released examination archive, member
2015/T/a10097w1.pdf; original cover dated 2016-06-14. The archive directory is not the examination year. Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability (resit) by
Codex 0 2026-10-31
Source paper: released examination archive, member
a10100w1-2.pdf; original cover dated 2016-09-14. Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability by
Codex 0 2026-10-31
Source paper: released examination archive, member
a10100w1-3.pdf; original cover dated 2016-06-23. Past exam of the year 1 of the computer science course of the University of Oxford 2016 Digital systems, linear algebra, introduction to formal proof (resit) by
Codex 0 2026-10-31
Source paper: released examination archive, member
a10101w1-2.pdf; original cover dated 2016-09-15. Past exam of the year 1 of the computer science course of the University of Oxford 2016 Digital systems, linear algebra, introduction to formal proof by
Codex 0 2026-10-31
Source paper: released examination archive, member
2015/T/a10101w1.pdf; original cover dated 2016-06-16. The cover establishes the examination year despite the archive directory name. Past exam of the year 1 of the computer science course of the University of Oxford 2015 Functional programming, design and analysis of algorithms by
Codex 0 2026-10-31
Source paper: released examination archive, member
2015-fpdaa.pdf. The printed cover dates this examination to 16 June 2015. Past exam of the year 1 of the computer science course of the University of Oxford 2015 Discrete mathematics, continuous mathematics, and probability (resit) by
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The original cover identifies the examination as 9 September 2015.[ref]
Discrete mathematics, continuous mathematics, and probability resit examination by the University of Oxford (2015). Cover, formal code A10100W1, Long Vacation 2015
Past exam of the year 1 of the computer science course of the University of Oxford 2015 Digital systems, linear algebra, introduction to formal proof by
Codex 0 2026-10-31
The original cover establishes the date as 19 June 2015. The solutions use the printed question numbering and the natural deduction rules supplied with this paper.[ref]
Digital systems, linear algebra, introduction to formal proof examination paper by the University of Oxford (2015). Cover and Figures 1–3, printed pages 1 and 7
Past exam of the year 1 of the computer science course of the University of Oxford 2014 Imperative programming by
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Solutions to all eight questions of the 18 June 2014 paper. The Scala fragments use the paper's Scala 2 style. Unless stated otherwise, array dimensions and array indices meet the supplied preconditions, and size calculations fit
Int.[ref]Imperative Programming examination paper by the University of Oxford (2014). Cover and pp. 2–15, Questions 1–8
Past exam of the year 1 of the computer science course of the University of Oxford 2014 Functional programming, design and analysis of algorithms by
Codex 0 2026-10-31
The solutions use the original 17 June 2014 preliminary examination, code
4208.[ref]Functional programming, design and analysis of algorithms examination paper by the University of Oxford (2014). original scan, pp. 2–8
Haskell definitions use separate question namespaces; names suffixed F or U distinguish alternative implementations. For Question 4, use import Prelude hiding (foldr, (++), concat, flip) when compiling the definitions together. Unless an infinite input is discussed explicitly, inputs are finite and total. Arithmetic operation counts do not include the growing bit costs of exact integers.[ref] Past exam of the year 1 of the computer science course of the University of Oxford 2014 Discrete mathematics, continuous mathematics and probability by
Codex 0 2026-10-31
Solutions to all nine questions of the examination dated 26 June 2014.[ref]
Discrete Mathematics, Continuous Mathematics and Probability examination paper by the University of Oxford (2014). Printed cover, paper 4223; questions on printed pp. 2–10
Past exam of the year 1 of the computer science course of the University of Oxford 2014 Digital systems, linear algebra, introduction to formal proof by
Codex 0 2026-10-31
The original cover dates this paper to 20 June 2014. The solutions follow the printed numbering and use the supplied natural deduction rules, including double-negation elimination. In the proof tables, the context column lists the numbered assumptions still in force; temporary assumptions are explicitly discharged by the indicated rule.[ref]
Digital systems, linear algebra, introduction to formal proof examination paper by the University of Oxford (2014). Cover and Figures 1–3, printed pages 1 and 9
Past exam of the year 1 of the computer science course of the University of Oxford 2013 Imperative programming by
Codex 0 2026-10-31
Solutions to all eight questions of the 12 June 2013 paper. The Scala code uses the paper's Scala 2 conventions. Arithmetic is exact unless a machine type is explicitly discussed; in particular, Question 1 permits ignoring integer overflow. Each code block extends the implementation introduced in its question, unless it supplies a complete replacement.[ref]
Imperative Programming examination paper by the University of Oxford (2013). Cover and printed pp. 2–11, Questions 1–8
Past exam of the year 1 of the computer science course of the University of Oxford 2013 Functional programming, design and analysis of algorithms by
Codex 0 2026-10-31
These solutions follow the original examination of 11 June 2013, code
4208.[ref]Functional programming, design and analysis of algorithms examination paper by the University of Oxford (2013). pp. 2–7, Questions 1–8
Each question's Haskell definitions form a separate namespace; hide redefined Standard Prelude names when compiling them. Unless stated otherwise, arguments are finite and total. Time complexity counts primitive operations; the cost of comparing variable-length words and the growing bit cost of exact integer arithmetic are stated separately where relevant.[ref] Past exam of the year 1 of the computer science course of the University of Oxford 2013 Discrete mathematics, probability and continuous mathematics by
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Past exam of the year 1 of the computer science course of the University of Oxford 2013 Digital systems, linear algebra, introduction to formal proof by
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Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





