mathematics

Renate Scheidler

Renate Scheidler 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 Renate Scheidler rather than just read about it. In short: Renate Scheidler (born 1960) is a German and Canadian mathematician and computer scientist specializing in computational number theory and its applications in cryptography. She is a professor at the University of Calgary, in the Department of Mathematics & Statistics and the Department of Computer Science.

Key takeaways

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

Reference excerpt

Renate Scheidler (born 1960) is a German and Canadian mathematician and computer scientist specializing in computational number theory and its applications in cryptography. She is a professor at the University of Calgary, in the Department of Mathematics & Statistics and the Department of Computer Science. She is the co-editor-in-chief of Contributions to Discrete Mathematics and one of the founders of the Women in Number Theory research community and the Women in Numbers conference series.

Education and career Scheidler was born in 1960. She earned a diplom (the German equivalent of a combined bachelor's and master's degree) in mathematics at the University of Cologne in 1987. She first came to Canada for doctoral study in mathematics at the University of Manitoba, where she completed her Ph.D. in 1993. Her dissertation, Applications of Algebraic Number Theory to Cryptography, was supervised by Hugh C. Williams. She joined the mathematics faculty at the University of Delaware in 1993, adding a courtesy appointment in the university's Department of Computer & Information Sciences in 1995. She was promoted to associate professor there in 1999. In 2001 she moved to her present position, jointly appointed to the Department of Mathematics & Statistics and the Department of Computer Science at the University of Calgary; she has been a full professor since 2008. In 2022 she was Helene Lange Visiting Professor at the University of Oldenburg in Germany. In 2008, with Kristin Lauter and Rachel Justine Pries, she became one of the founders of the Women in Numbers conference, which became the first of a series of conferences for the Women in Number Theory research community. She has been co-editor-in-chief of Contributions to Discrete Mathematics since 2023.

Recognition Scheidler was named as a Fellow of the Association for Women in Mathematics, recognizing her "for her vision and role in founding the Women in Numbers Research Network; for her continuing leadership in that research community; and for impactful work mentoring women at all career stages". She is the 2024 recipient of the Krieger–Nelson Prize, given "in recognition of her important and significant contributions to research, particularly in the fields of computational number theory and algebraic number theory".

References

External links Home page Renate Scheidler publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Renate Scheidler

Start with the simplest possible case. Write down what Renate Scheidler 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 Renate Scheidler 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 Renate Scheidler 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 Renate Scheidler

In research: Renate Scheidler 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 Renate Scheidler 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: Renate Scheidler is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1960 births, Academic staff of the University of Calgary, Canadian computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Renate Scheidler 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 “Renate Scheidler” →

Affiliate

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

How to study Renate Scheidler in 20 minutes

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

Frequently asked questions

What is Renate Scheidler in simple terms?

Why does Renate Scheidler 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 Renate Scheidler?

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 Renate Scheidler.