astronomy

Sadi Evren Seker

Sadi Evren Seker 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 Sadi Evren Seker rather than just read about it. In short: Sadi Evren Seker is a Turkish computer scientist and data scientist. He is the first person to introduce the concept of "Computerized Argument Delphi Technique" in the literature, which is an enhancement to the Delphi method originally developed on Project RAND.

Key takeaways

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

Reference excerpt

Sadi Evren Seker is a Turkish computer scientist and data scientist. He is the first person to introduce the concept of "Computerized Argument Delphi Technique" in the literature, which is an enhancement to the Delphi method originally developed on Project RAND.

Career and research After obtaining a Ph.D. degree in computer engineering from Yildiz Technical University in 2010, Seker joined the faculty at Istanbul University in 2011 as an assistant professor. He also served as a visiting scholar at the Data Mining Lab at the University of Texas at Dallas from 2012 to 2014. In addition, he held a visiting professorship at Smith College in Massachusetts, within the Department of Computer Science from 2016 to 2017 In recognition of his achievements, he was promoted to the rank of professor in the Department of Computer Engineering in 2020. He is the inventor of several data science methods and holds patents for:

A method and system for clustering performance evaluation and increment Computer-implemented methods for selection of features in predictive data modeling A machine learning based prediction system and method He currently serves as the Dean of the Computer and Information Technologies Faculty at Istanbul University. His researches involves the implementation of data science algorithms in various industries, including banking, geology, natural language processing and big data analytics He has published more than 200 scientific journals and books and he is among the top 5k scientist in Turkey. His work has been covered by local news agencies on several occasions. Seker's research focuses on Responsible AI, Automated machine learning and explainable artificial intelligence.

Publications Seker, wrote the book Business Intelligence and Data Mining with Weka (Turkish: İş Zekası ve Veri Madenciliği, weka ile) (Cinius, 2013). Seker, is the Turkish editor of the book Algorithms, originally written by Robert Sedgewick and Kevin Wayne GISQAF: MapReduce guided spatial query processing and analytics system, funded by the National Science Foundation under Award No. CNS 1229652 and the Air Force Office of Scientific Research under Award No. FA-9550-09-1-0468 Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream, in TKDE which is based on work supported by the AFOSR under awards FA9450-08-1-0260 and FA9950-10-1-0088 and by NASA under award 2008-00867-01. Computerized Argument Delphi Technique (2015) from IEEE Xplore His full profile of publications and background can be access from University Academic Profile His author profile with his publications on IEEE is available on IEEE Xplore and his DBLP profile is available for online access. There are some news about his works on democratization of artificial intelligence for SMEs

References

External links Official website

Illustrations

Worked examples

Example 1 — a first encounter with Sadi Evren Seker

Start with the simplest possible case. Write down what Sadi Evren Seker 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 Sadi Evren Seker 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 Sadi Evren Seker 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 Sadi Evren Seker

In research: Sadi Evren Seker 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 Sadi Evren Seker 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: Sadi Evren Seker is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1979 births, Academic staff of Istanbul University, Istanbul Technical University alumni, so understanding it makes those chapters shorter.
In everyday life: Look for Sadi Evren Seker 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 Sadi Evren Seker in 20 minutes

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

Frequently asked questions

What is Sadi Evren Seker in simple terms?

Why does Sadi Evren Seker 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 Sadi Evren Seker?

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 Sadi Evren Seker.