computer science

Martyn Amos

Martyn Amos is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Martyn Amos rather than just read about it. In short: Martyn Amos is a Professor of Computational Science in the School of Computer Science at Northumbria University, working in natural computation, crowd simulation, DNA computing and synthetic biology. He was born in Hexham, Northumberland in 1971, brought up in Heddon-on-the-Wall, and attended school in Ponteland.

Key takeaways

Martyn Amos belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Martyn Amos to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Martyn Amos from memory before moving on to harder problems.

Reference excerpt

Martyn Amos is a Professor of Computational Science in the School of Computer Science at Northumbria University, working in natural computation, crowd simulation, DNA computing and synthetic biology. He was born in Hexham, Northumberland in 1971, brought up in Heddon-on-the-Wall, and attended school in Ponteland. He graduated with a degree in Computer Science from Coventry University in 1993 (which included an industrial placement working on the Ministry of Defence (United Kingdom) Corporate Headquarters Office Technology System), before earning a Ph.D. in DNA computing in 1997, from the University of Warwick. He then held a Leverhulme Trust Special Research Fellowship at the University of Liverpool, before taking up permanent academic appointments at the University of Liverpool (2000–2002), the University of Exeter (2002–2006), and Manchester Metropolitan University (2006–2018). He is a Fellow of the British Computer Society (FBCS), and an active contributor to the Futures for All education charity.

Bibliography Martyn Amos, (Ed.) (2004). Cellular Computing. Series in Systems Biology. Oxford University Press (USA). ISBN 978-0-19-515539-6. Martyn Amos (2005). Theoretical and Experimental DNA Computation. Natural Computing Series. Springer. ISBN 978-3-540-65773-6. — The first general text to cover the whole field. Martyn Amos (2006). Genesis Machines - The New Science of Biocomputing. Atlantic Books. ISBN 978-1-84354-224-7. — A popular science style introduction to the topic. Martyn Amos and Ra Page (Eds.) (2014). Beta-Life: Stories from an A-Life Future. Comma Press. ISBN 978-1-90558-365-2. — A collection of "science into fiction" short stories, based on the themes of "unconventional computing" and artificial life, with accompanying afterwords written by consultant scientists. Susan Stepney, Steen Rasmussen, and Martyn Amos (Eds.) (2018). Computational Matter. Natural Computing Series. Springer. doi:10.1007/978-3-319-65826-1. ISBN 978-3-319-65824-7. S2CID 51705938.{{cite book}}: CS1 maint: multiple names: authors list (link)

References

Worked examples

Example 1 — a first encounter with Martyn Amos

Start with the simplest possible case. Write down what Martyn Amos claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Martyn Amos before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Martyn Amos ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Martyn Amos

In research: Martyn Amos appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Martyn Amos in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Martyn Amos is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1971 births, Alumni of Coventry University, British computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Martyn Amos outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Martyn Amos in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Martyn Amos means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Martyn Amos out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Martyn Amos in simple terms?

Why does Martyn Amos matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Martyn Amos?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Martyn Amos.