ArticleslgStudy

mathematics

Michael H. Albert

Michael H. Albert is a mathematics 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 Michael H. Albert rather than just read about it. In short: Michael Henry Albert (born September 20, 1962) is a mathematician and computer scientist, originally from Canada. He is an emeritus professor in the School of Computing at the University of Otago in Dunedin, New Zealand.

Michael H. Albert — main illustration
Michael H. Albert — illustration

Key takeaways

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

Reference excerpt

Michael Henry Albert (born September 20, 1962) is a mathematician and computer scientist, originally from Canada. He is an emeritus professor in the School of Computing at the University of Otago in Dunedin, New Zealand. His varied research interests include combinatorics and combinatorial game theory.

Education and career Albert grew up in Canada, where he had success in the country's mathematics competition circuit, which he credits with developing his problem-solving skills. He received his B.Math in 1981 from the University of Waterloo. In that year Albert received the Rhodes Scholarship, and he completed his D. Phil. in 1984 at the University of Oxford under the supervision of Hilary Priestley. His thesis was in category theory. He then returned to the University of Waterloo as a postdoc and assistant professor. From 1987 to 1996 he was an assistant and then associate professor at Carnegie Mellon University. He moved to Dunedin in 1996 and joined the University of Otago, initially in the Department of Mathematics and Statistics before transferring to the Department of Computer Science, where he served as Head of Department for seven years. In 2023, the department was amalgamated into the new School of Computing. Albert retired in December 2024 as Emeritus Professor, after 27 years of teaching and research at Otago. He has also been involved in training high school students for the International Mathematical Olympiad.

Research Albert was introduced to permutation patterns by Mike Atkinson after joining the Computer Science department at Otago, and this became a major focus of his research. In 2003, he and Atkinson co-founded the Permutation Patterns conference, which has since become the primary annual meeting in the field. A paper with Atkinson, "Simple permutations and pattern restricted permutations" (2005), demonstrated the use of the substitution decomposition in the context of permutation patterns, providing a general strategy for the enumeration of pattern-restricted permutations based on understanding the simple permutations in a class. He also developed the "insertion encoding" (with Nik Ruškuc and Steve Linton) for representing permutations, enabling techniques from automata theory and formal languages to be applied to their enumeration and classification. Albert developed PermLab, a software tool for working with permutation patterns. He is a co-editor-in-chief of the Australasian Journal of Combinatorics.

Combinatorial games Together with J.P. Grossman and Richard Nowakowski, Albert invented the game Clobber. Albert got to know Nowakowski through the Mathematical Olympiad and became interested in combinatorial game theory through that connection. Albert has also contributed to the Combinatorial Game Suite game analysis software, and is a coauthor of Lessons in Play: An Introduction to Combinatorial Game Theory.

See also List of University of Waterloo people

References

External links Michael H. Albert's page at the University of Otago

Illustrations

Michael H. Albert illustration

Worked examples

Example 1 — a first encounter with Michael H. Albert

Start with the simplest possible case. Write down what Michael H. Albert claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 Michael H. Albert 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 Michael H. Albert 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 Michael H. Albert

In research
Michael H. Albert appears in mathematics 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 Michael H. Albert 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
Michael H. Albert is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1962 births, 20th-century Canadian mathematicians, 21st-century Canadian mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Michael H. Albert 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.

Affiliate

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

How to study Michael H. Albert in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Michael H. Albert 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 Michael H. Albert out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Michael H. Albert in simple terms?

Michael Henry Albert (born September 20, 1962) is a mathematician and computer scientist, originally from Canada. He is an emeritus professor in the School of Computing at the University of Otago in Dunedin, New Zealand.

Why does Michael H. Albert matter?

Because it connects several mathematics 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 Michael H. Albert?

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 Michael H. Albert.

Tags

  • 1962 births
  • 20th-century Canadian mathematicians
  • 21st-century Canadian mathematicians
  • Academic staff of the University of Otago
  • Academics from Simcoe County
  • Canadian Rhodes Scholars
  • Canadian computer scientists
  • Canadian expatriates in New Zealand
  • Combinatorial game theorists
  • Combinatorialists
  • Living people
  • People from Penetanguishene

Keep exploring