Igor V. Orlovskyi
Associate professor of the department
Works in KPI since 2004
Teaches on faculties: FMF, FIOT, IPSA
Courses taught:
Linear Algebra and Analytic Geometry, Advanced mathematics, Mathematical analysis (Faculty of Informatics and Computer Science)
Сторінка викладача в системі Інтелект
Список публікацій в Google Scholar
Lectures schedule (in Ukrainian) на rozklad.kpi.ua
Education:
University of Southampton, 2000, Department of mathematical studies, Mathematics, MSc in mathematics (with first class honours);
National Technical University of Ukraine "Kyiv Polytechnic Institute", 2002 , Faculty of Physics and Mathematics, MSc in mathematics (with honours);
KROK University (Kyiv, Ukraine), Faculty of Postgraduate Education, Specialist in enterprise economics (with honours)
Academic degree:
PhD in probability theory and mathematical statistics, 2007. PhD thesis: "Asymptotic Properties of M-estimates of nonlinear regression model parameters"
Latest works:
4) Mathematical Olympiads - 2009 : Methodical textbook on problem solving for students of all forms of education and pupils // Writers: V.V. Buldygin, A.B. Ilienko, I.V. Orlovskyi. - Kyiv.: NTUU «KPI». - 2010. - 45 P.
5) Mathematical Olympiads - 2010 : Methodical textbook on problem solving for students of all forms of education and pupils // Writers: V.V. Buldygin, A.B. Ilienko, I.V. Orlovskyi. - Kyiv.: NTUU «KPI». - 2011. - 36 P.
6) Mathematical Olympiads - 2011 : Methodical textbook on problem solving for students of all forms of education and pupils // Writers: V.V. Buldygin, A.B. Ilienko, I.V. Orlovskyi. - Kyiv.: NTUU «KPI». - 2012. - 36 P.
Latest papers:
23) L. Golubovskaya, A. Ivanov and I.Orlovskyi Asymptotic properties of linear regression parameter estimator in the case of long-range dependent regressors // International Workshop on “Functional Methods in Probability Theory and Probabilistic Number Theory”. Program and Abstracts. – September 28-30, 2011. – P. 26.
24) Ivanov A.V., Orlovsky I.V. Asymptotic properties of estimator of linear regression parameter in case of long-range or weak dependent regressors // XIV International Scientific Kravchuk Conference. –19-21 April, 2012. – Kyiv. – Vol. 3. – P. 62. (in Ukrainian)
25) Orlovsky I.V. Least squares estimator in linear regression with long-range and weak dependent regressors // International Conference Modern Stochastics: Theory and Application III. – 10-14 September, 2012. – Kyiv. – P. 85.
Rewards:
4 honorary diplomas of the University Council of NTUU «KPI» and 1 honourable award of the University Council of NTUU «KPI»