Methods of Regression Analysis and their Application

Major: Applied mathematics and computer science
Code of subject: 6.113.00.O.069
Credits: 6.00
Department: Applied Mathematics
Lecturer: as. prof., Applied Mathematics department, Gaiduchok O.V.
Semester: 8 семестр
Mode of study: денна
Learning outcomes: 1. knowledge and understanding of the scientific and mathematical principles underlying mathematical modeling; 2. professional knowledge in the field of regression analysis, the basics of analytical, stochastic, and numerical approaches to the study of systems models, information technologies for the collection and storage of information, algorithms and their software implementation in research through computational experiment; 3. ability to demonstrate advanced professional knowledge in one area of mathematical modeling; 4. professional knowledge and skills in data collection, processing, and modeling (including the use of computational experiments) of processes and phenomena.
Required prior and related subjects: Previous courses Mathematical Statistics Probability Theory Algebra and Geometry
Summary of the subject: The course "Methods of Regression Analysis and their Application" covers methods of correlation-regression analysis and means of constructing regression models using computer technology.
Assessment methods and criteria: Current control (40): laboratory work, calculation work Examination Control (60): Written (40) and Oral Component (Individual Project Protection)
Recommended books: 1. An electronic version of the synopsis of the lectures on the course "Regression analysis and its application" (by Gaiduchok OV) 2. An electronic educational-methodical complex on the course “Methods of regression analysis and their application” (by Gaiduchok OV, Rizha IA http://vns.lpnu.ua/course/view.php?id=8180) 3. Medinsky IP, Zadvornyak IM Regression analysis: Guidelines from the course "Mathematical methods of optimal planning" for students of specialties 8.080202 "Applied mathematics", 7.080204 and 8.080204 "Social Informatics". 4. Medinsky IP, Zadvornyak IM, Gaiduchok AV Continuous plans. Methodical instructions for laboratory work for the specialty 8.04030101, 7.04030101 “Applied Mathematics”, 8.04030204 “Information and Communication Technologies”, 8.04030103 “Mathematical and Computer Modeling”. - Lviv: Publishing House of the National University-Theta "Lviv Polytechnic", 2012. - 28 p.