Bases of mathematic statistic and probability theory
Course: Natural Geography
Structural unit: heohrafichnyi fakultet
Title
Bases of mathematic statistic and probability theory
Code
ОК 02
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
Learning outcomes
P01. To know, understand and be able to use in practice the basic concepts of the theory of geography, as well as worldview sciences.
P05. Collect, process and analyze information in the field of geographical sciences
P06. Use information technologies, cartographic and geo-information models in the field of geographical sciences.
P08. Apply models and methods of physics, geochemistry, geology, ecology, mathematics, information technologies, etc. when studying natural and social processes of geosphere formation and development.
Form of study
Full-time form
Prerequisites and co-requisites
Missing.
Course content
The educational discipline "Fundamentals of mathematical statistics and probability theory" belongs to the mandatory components of the educational program for training specialists at the "bachelor" educational level in the field of knowledge 10 - Natural sciences with the specialty 106 - Geography of the educational program "Natural Geography". The discipline "Fundamentals of Mathematical Statistics and Probability Theory" studies theoretical-probability and statistical methods of collecting, systematizing and processing observation results in order to identify statistical regularities of a feature or features of a certain set of elements and covers the following range of issues: basics of combinatorics, random events and random variables, sampling and its characteristics, as well as paired linear regression. The course includes 2 content modules and 2 modular tests. The discipline ends with a test.
Recommended or required reading and other learning resources/tools
1. Валєєв К.Г., Джалладова І.А. Вища математика: Навчальний посібник: У 2-х ч. – Ч.1.- К.: КНЕУ,2001. 2. Валєєв К.Г., Джалладова І.А. Вища математика: Навчальний посібник: У 2-х ч. – Ч.2.-К.: КНЕУ,2002. 3. Вища математика: Основні означення, приклади і задачі. - За ред. Кулініча Г.Л. К.: Либідь,1992. 4. Вища математика: Підручник: У 2 кн. – 2-ге вид., - За ред. Кулініча Г.Л. К.: Либідь,2003. 5. Грисенко М.В. Математика для економістів: Підручник .- К.: ВПЦ « Київський університет», 2012.-663с. 6. Керекеша П.В. Лекції і вправи з вищої математики.-О. "Астроприт".2003. 7. Вища математика. Підручник. За ред. Пономаренка В.С.- Харків.2014.
Planned learning activities and teaching methods
Lecture classes, practical classes using mathematical packages
Assessment methods and criteria
Written modular test papers, assessment of work in practical classes, assessment of tasks for independent work
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Farkhod
Anvarovich
Asrorov
The Department of General Mathematics
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv
Departments
The following departments are involved in teaching the above discipline
The Department of General Mathematics
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv