Statistical Modeling

Major: Information Technology Design
Code of subject: 7.122.02.O.005
Credits: 5.00
Department: Computer-Aided Design
Lecturer: Professor of CAD department Petro S.Kosobutskyy
Semester: 1 семестр
Mode of study: денна
Learning outcomes: to apply methods of mathematical statistics for statistical analysis micro- and nanosystems in code Matlab and MathCAD, to propose and test hypotheses using the criteria of distribution of random data and draw correct conclusions regarding laws of distribution, to statistical analysis-based error models practical implementation of statistical methods of data analysis and optimization of physical, technical and computer experiments of modern MEMS NEMS functional systems in the codes of engineering packages of Matla, Matcad, Python application programs put forward hypotheses and verify them using the criteria of the hypothesis of the distribution of random data and make correct conclusions regarding the laws of their distribution, analyze and optimize the statistical regularities of the noise of functional systems with subsequent statistical averaging in order to establish trends in the development of signals
Required prior and related subjects: Pre requisite: systems modeling, numerical methods, рrobability theory and mathematical statistics, multi-objective optimization methods
Summary of the subject: Basic principles of applied mathematical statistics Methods of parametric statistics Monte Carlo simulation method Practical algorithms for data processing of measurements and computer experiments Statistical data optimization
Assessment methods and criteria: Current control (40%); written reports on laboratory work, oral examination, control workFinal control (60% of exam); written, oral examination
Recommended books: 1.P.Kosobutskyy, et.al.. Statystical Modelling. Lviv:NU”LP”2013. 2.P.Kosobutskyy. Statistical and Monte Carlo algorithms for simulation of random processes in the macro and microsystems using MathCAD. Lviv:NU”LP”2014. 3. P.Kosobutskyy.The Physical Basis of Statystical Optimization of Micro- and Nanosystems. Lviv:NU”LP”2016.