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astronomy

Stott Parker

Stott Parker is a astronomy 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 Stott Parker rather than just read about it. In short: Douglass Stott Parker (December 31, 1952 – October 4, 2022) was a professor of computer science at UCLA from 1979 to his retirement in 2016, specializing in Data Mining, Bioinformatics, Database Management, Scientific Data Management and Modeling. Parker was an investigator in the UCLA Center for Computational Biology (an NIH NCBC center), the UCLA Center for Cognitive Phenomics (an NIH project), and worked with Chr…

Key takeaways

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

Reference excerpt

Douglass Stott Parker (December 31, 1952 – October 4, 2022) was a professor of computer science at UCLA from 1979 to his retirement in 2016, specializing in Data Mining, Bioinformatics, Database Management, Scientific Data Management and Modeling. Parker was an investigator in the UCLA Center for Computational Biology (an NIH NCBC center), the UCLA Center for Cognitive Phenomics (an NIH project), and worked with Chris Lee on bioinformatics databases. He was the son of classics professor Douglass Parker.

Biography Parker was born in New Haven, Connecticut, to Haverly Hubert Parker and classics professor Douglass Parker. He received the A.B. in Mathematics cum laude from Princeton University in 1974. He completed his M.S. and Ph.D. at the University of Illinois Urbana-Champaign in 1976 and 1978, respectively. Following a period of postdoctoral research at the Université Grenoble Alpes in France, he joined the Faculty of the UCLA Computer Science Department in 1979.

References

Papers Parker’s academic site lists his papers, under Directories with research results.

External links UCLA Computer Science Department

Worked examples

Example 1 — a first encounter with Stott Parker

Start with the simplest possible case. Write down what Stott Parker claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Stott Parker 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 Stott Parker 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 Stott Parker

In research
Stott Parker appears in astronomy 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 Stott Parker 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
Stott Parker is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1952 births, 2022 deaths, Artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life
Look for Stott Parker 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 Stott Parker in 20 minutes

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

Frequently asked questions

What is Stott Parker in simple terms?

Douglass Stott Parker (December 31, 1952 – October 4, 2022) was a professor of computer science at UCLA from 1979 to his retirement in 2016, specializing in Data Mining, Bioinformatics, Database Management, Scientific Data Management and Modeling. Parker was an investigator in the UCLA Center for C…

Why does Stott Parker matter?

Because it connects several astronomy 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 Stott Parker?

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 Stott Parker.

Tags

  • 1952 births
  • 2022 deaths
  • Artificial intelligence researchers
  • People from New Haven, Connecticut
  • Princeton University alumni
  • University of California, Los Angeles faculty
  • University of Illinois Urbana-Champaign alumni

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