mathematics

Rudolf Kruse

Rudolf Kruse 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 Rudolf Kruse rather than just read about it. In short: Rudolf Kruse (born 12 September 1952 in Rotenburg/Wümme) is a German computer scientist and mathematician. Education and professional career Rudolf Kruse obtained his diploma (Mathematics) degree in 1979 from the TU Braunschweig, Germany, and a PhD in Mathematics in 1980 as well as the venia legendi in Mathematics in 1984 from the same university.

Key takeaways

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

Reference excerpt

Rudolf Kruse (born 12 September 1952 in Rotenburg/Wümme) is a German computer scientist and mathematician.

Education and professional career Rudolf Kruse obtained his diploma (Mathematics) degree in 1979 from the TU Braunschweig, Germany, and a PhD in Mathematics in 1980 as well as the venia legendi in Mathematics in 1984 from the same university. Following a stay at the Fraunhofer Society, in 1986 he joined the University of Braunschweig as a professor of computer science. From 1996–2017 he was a professor at the Department of Computer Science of the Otto-von-Guericke Universität Magdeburg where he has been leading the computational intelligence research group. Since October 2017 he has been an emeritus professor.

Research activities He has carried out research and projects in data science, artificial intelligence, fuzzy systems, and computational intelligence. His research group was very successful in various industrial applications. Rudolf Kruse has coauthored 40 books as well as more than 450 refereed technical papers in various scientific areas. He is a fellow of the International Fuzzy Systems Association (IFSA), fellow of the European Association for Artificial Intelligence: EurAI) and fellow of the Institute of Electrical and Electronics Engineers: (IEEE).

References

External links Information about Rudolf Kruse and his work DBLP computer science bibliography of Rudolf Kruse Website Computational Intelligence group at Otto-von-Guericke University Magdeburg

Illustrations

Worked examples

Example 1 — a first encounter with Rudolf Kruse

Start with the simplest possible case. Write down what Rudolf Kruse 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 Rudolf Kruse 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 Rudolf Kruse 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 Rudolf Kruse

In research: Rudolf Kruse 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 Rudolf Kruse 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: Rudolf Kruse is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1952 births, Academic staff of Otto von Guericke University Magdeburg, Academic staff of TU Braunschweig, so understanding it makes those chapters shorter.
In everyday life: Look for Rudolf Kruse 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 Rudolf Kruse in 20 minutes

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

Frequently asked questions

What is Rudolf Kruse in simple terms?

Rudolf Kruse (born 12 September 1952 in Rotenburg/Wümme) is a German computer scientist and mathematician. Education and professional career Rudolf Kruse obtained his diploma (Mathematics) degree in 1979 from the TU Braunschweig, Germany, and a PhD in Mathematics in 1980 as well as the venia legend…

Why does Rudolf Kruse 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 Rudolf Kruse?

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 Rudolf Kruse.