computer science

J. Paul Morrison

J. Paul Morrison 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 J. Paul Morrison rather than just read about it. In short: J. Paul Morrison (1937-2022) was a British-born Canadian software engineer, software architect, computer scientist, and Wikipedian.

Key takeaways

J. Paul Morrison 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 J. Paul Morrison to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of J. Paul Morrison from memory before moving on to harder problems.

Reference excerpt

J. Paul Morrison (1937-2022) was a British-born Canadian software engineer, software architect, computer scientist, and Wikipedian. He is best known as the creator of flow-based programming and author of "Flow Based Programming: A New Approach to Application Development". In 2013, an interview, which was videotaped, between Paul and Henri Bergius, was held in Toronto.

References

Worked examples

Example 1 — a first encounter with J. Paul Morrison

Start with the simplest possible case. Write down what J. Paul Morrison 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 J. Paul Morrison 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 J. Paul Morrison 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 J. Paul Morrison

In research: J. Paul Morrison 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 J. Paul Morrison 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: J. Paul Morrison is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1937 births, 2022 deaths, Canadian computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for J. Paul Morrison 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.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “J. Paul Morrison” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study J. Paul Morrison in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what J. Paul Morrison 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 J. Paul Morrison out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is J. Paul Morrison in simple terms?

J. Paul Morrison (1937-2022) was a British-born Canadian software engineer, software architect, computer scientist, and Wikipedian.

Why does J. Paul Morrison 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 J. Paul Morrison?

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 J. Paul Morrison.