engineering

Okan Ersoy

Okan Ersoy is a engineering 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 Okan Ersoy rather than just read about it. In short: Okan Kadri Ersoy (born 5 September 1945) is now Professor Emeritus of electrical engineering Formerly, he was a professor of electrical engineering and the director of the Statistical and Computational Intelligence Laboratory at Purdue University, West Lafayette School of Electrical and Computer Engineering. He is a Fellow of IEEE, a Fellow of OSA and a Fellow of ISIBM.

Key takeaways

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

Reference excerpt

Okan Kadri Ersoy (born 5 September 1945) is now Professor Emeritus of electrical engineering Formerly, he was a professor of electrical engineering and the director of the Statistical and Computational Intelligence Laboratory at Purdue University, West Lafayette School of Electrical and Computer Engineering. He is a Fellow of IEEE, a Fellow of OSA and a Fellow of ISIBM. Ersoy contributed to the research and education in computer science and engineering, physics, artificial intelligence and bioinformatics.

Biography Ersoy was born on 5 September 1945, in Istanbul, Turkey. He received B.S.E.E. degree from Boğaziçi University (Formerly Robert College) in Istanbul in 1967; M.S.E.E. degree in 1968, MS degree in Systems Science and PhD in Electrical Engineering in 1972 respectively, all from University of California at Los Angeles (UCLA) with specialization on lasers, quantum electronics, optics and image processing.

Research areas His current research is concentrated in the fields of digital signal/image processing and imaging, neural networks, decision trees and support vector machines, optical communications, networking and information processing, diffractive optics with scanning electron microscope, Fourier-related transforms and time-frequency methods, probability and statistics. He has written a number of books and book sections on signal, image processing and fast transforms.

Books Diffraction, Fourier Optics and Imaging - Fourier Related Transforms and Applications Archived 23 November 2015 at the Wayback Machine

References

External links Website at Purdue DOI.org https://docs.lib.purdue.edu/ecetr/69/ http://sru.lib.purdue.edu/dir/sru?operation=searchRetrieve&recordSchema=dc&maximumRecords=50&sortKeys=DateCreated,0&recordXpath=&stylesheet=http%3A//www.lib.purdue.edu/research/sru/etd/etd.xsl&ScanClause=&version=1.1&recordPacking=xml&query=adviser+%3D+%22Ersoy%22+and+%22Okan%22 Archived 4 February 2017 at the Wayback Machine Some of the selected IEEE publications of Professor O. K. Ersoy

Worked examples

Example 1 — a first encounter with Okan Ersoy

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

In research: Okan Ersoy appears in engineering 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 Okan Ersoy 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: Okan Ersoy is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1945 births, 20th-century Turkish engineers, 21st-century Turkish engineers, so understanding it makes those chapters shorter.
In everyday life: Look for Okan Ersoy 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 Okan Ersoy in 20 minutes

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

Frequently asked questions

What is Okan Ersoy in simple terms?

Why does Okan Ersoy matter?

Because it connects several engineering 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 Okan Ersoy?

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 Okan Ersoy.