computer science

Naila Musayeva

Naila Musayeva is a computer science 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 Naila Musayeva rather than just read about it. In short: Naila Musaeva (Azerbaijani: Nailə Fuad qızı Musayeva) is a professor at the Department of Information Technologies and Systems at the Azerbaijan University of Architecture and Construction. She is also Doctor of Engineering, Professor, and Head of Laboratory at the Institute of Control Systems of ANAS.

Key takeaways

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

Reference excerpt

Naila Musaeva (Azerbaijani: Nailə Fuad qızı Musayeva) is a professor at the Department of Information Technologies and Systems at the Azerbaijan University of Architecture and Construction. She is also Doctor of Engineering, Professor, and Head of Laboratory at the Institute of Control Systems of ANAS.

National grants 2012–2015, Science Fund at the State Oil Company of Azerbaijan Republic (SOCAR),

Membership 2002–present, Member of the Dissertation Council at the Institute of Control Systems conferring academic degrees of Doctor of Science and PhD in the following specialties: Computer sciences; Information measurement systems and control systems; System analysis, control and information processing; 2002–present, Member of the Science Council at the Institute of Control Systems; 2017 – Member of the Educational-methodical board at the Azerbaijan University of Architecture and Construction.

Publications About 160 proceedings were published in this area. The notable ones include:

Aliev T.A., Musaeva N.F., Suleymanova M.T., Gazizade B.I. Density Function of Noise Distribution as an Indicator for Identifying the Degree of Fault Growth in Sucker Rod Pumping Unit (SRPU)// Journal of Automation and Information Sciences, Vol.49, Issue 4, 2017, p. 1-11, by Begell House, New-York, Springer Aliev T.A., Musaeva N.F., Suleymanova M.T., Gazizade B.I. Technology for calculating the parameters of the density function of normal distribution of the useful component in a noisy process // Journal of Automation and Information Sciences, Vol.48, No2, 2016, p. 35-55, by Begell House, New-York, Springer Aliev T.A., Musaeva N.F., Suleymanova M.T., Gazizade B.I. Analytic representation of the density function of normal distribution of noise // Journal of Automation and Information Sciences, 47(8), 2015, by Begell House, New-York, Springer, p. 24-40 T.A. Aliev, N.F. Musaeva and Sattarova U.E. Noise Technologies for Operating the System for Monitoring of the Beginning of Violation of Seismic Stability of Construction Objects// Editors: Lotfi A. Zadeh, Ali M. Abbasov, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z. // Recent Developments and New Directions in Soft Computing. Studies in Fuzziness and Soft Computing, Volume 317, 2014, pp. 211–232, Springer T.A. Aliev, N.F. Musaeva and Sattarova U.E. The technology of forming the normalized correlation matrices of the matrix equations of multidimensional stochastic objects. Journal of Automation and Information Sciences, 45(1), 2013 by Begell House, New-York, Springer, p. 1-15 T.A. Aliev, N.F. Musaeva and Sattarova U.E. Robust technologies for calculating normalized correlation functions, Cybernetics and Systems Analysis, New-York, Springer, Vol. 46, No. 1, 2010, pp. 153–166 Musaeva N.F. Robust correlation coefficients as initial data for solving a problem of confluent analysis. Automatic Control and Computer Sciences. Allerton Press. Inc., New York, No 2, 2007, pp. 76–87 T.A. Aliev and N.F. Musaeva. Technology of experimental research of the stochastic processes, Automatic Control and Computer Sciences. Allerton Press. Inc., New York, No 4, 2005, pp. 15–26 N.F.Musaeva. Technology for determining the magnitude of robustness as an estimate of statistical characteristic of noisy signal, Automatic Control and Computer Sciences. Allerton Press. Inc., New York, No 5, 2005, pp. 64–74

Textbooks Мусаева Н.Ф. Построение математических моделей. Методы и современные компьютерные технологии. Учебник, 2014, 310 pp. Lambert, Germany Мусаева Н.Ф. Информационные технологии обработки экспериментальных данных. Учебник, Баку, 2007, 260 с. (Azərbaycan Respublikası Təhsil Nazirliyinin 26/04/2007-ci il tarixli 368 nömrəli əmri ilə təsdiq edilmişdir) Musayeva N.F. Təcrübi verilənlərin işlənməsinin informasiya texnologiyaları. Dərslik, Bakı, 2007, 245 s. (Azərbaycan Respublikası Təhsil Nazirliyinin 26/04/2007-ci il tarixli 367 nömrəli əmri ilə təsdiq edilmişdir)

Monographs Musayeva N.F. Riyazi modellərin qurulması. Üsullar və müasir kompüter texnologiyaları. Bakı, 2014. 386 s. Мусаева Н.Ф. Алгоритмы улучшения обусловленности корреляционных матриц. Baku, Elm, 2000, p. 95

References

External links mathnet.ru search.rsl.ru science.gov.az

Worked examples

Example 1 — a first encounter with Naila Musayeva

Start with the simplest possible case. Write down what Naila Musayeva claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Naila Musayeva 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 Naila Musayeva 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 Naila Musayeva

In research: Naila Musayeva appears in computer science 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 Naila Musayeva 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: Naila Musayeva is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1957 births, Academic staff of Azerbaijan University of Architecture and Construction, Azerbaijani computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Naila Musayeva 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 Naila Musayeva in 20 minutes

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

Frequently asked questions

What is Naila Musayeva in simple terms?

Why does Naila Musayeva matter?

Because it connects several computer science 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 Naila Musayeva?

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 Naila Musayeva.