Mathematics for Economists, part 2

Major: Marketing
Code of subject: 6.075.00.O.013
Credits: 6.00
Department: Mathematics
Lecturer: Brodyak Oksana
Semester: 2 семестр
Mode of study: денна
Learning outcomes: As a result of studying the discipline, the student must be able to demonstrate the following program learning outcomes: ПРН 3. Apply the acquired theoretical knowledge to solve practical problems in the field of marketing ПРН 9. Assess the risks of marketing activities, establish the level of uncertainty of the marketing environment in making management decisions. ПРН 14.Perform functional responsibilities in the group, offer sound marketing solutions. ПРН 15. To act socially responsibly and socially consciously on the basis of ethical principles of marketing, respect for cultural diversity and values ??of civil society with respect for individual rights and freedoms. ПРНС 4.1. Collect and analyze the necessary information, calculate economic and marketing indicators, assess the risks of management decisions in order to improve the management of the sales process КOM 1. Reporting to specialists and non-specialists information, ideas, problems, solutions and personal experience in the field of professional activities. AiВ 2. Responsibility for professional development of individuals and / or groups of individuals. AiВ 3. Ability to further study with a high level autonomy.
Required prior and related subjects: Mathematics for economists, part 1 (higher mathematics), informatics, analysis of economic activity, economics and mathematical methods and models
Summary of the subject: The academic discipline "Mathematics for economists. 2." (Probability theory and mathematical statistics) "consists of sections" Theory of probabilities "and" Mathematical statistics ". The section "Probability Theory" deals with the following topics: "Introduction to Probability. Classical probability definition "," Basic theorems of probability theory "," Bernoulli scheme "," Random variables "," Laws of distribution of random variables. Systems of random variables " The section "Mathematical Statistics" consists of topics: "Basic concepts of mathematical statistics", "Point and interval estimations of distribution parameters", "Statistical testing of hypotheses", "Elements of the theory of regression", "Elements of dispersion analysis".
Assessment methods and criteria: Student knowledge testing is carried out by means of oral questioning in practical classes, control and independent work in the virtual of learning environment, the terminologicals of dictations, individual calculation and graphic works. Current control - 30 points; Examination Control - 70 points; Total for discipline - 100 points.
Recommended books: Базова 1. Гмурман В.Е. Теория вероятностей и математическая статистика.- М.: “Высшая школа”, 2000. 2. Шефтель З.Г. Теорія ймовірностей.-К.: “Вища школа”, 2004. Допоміжна 1. Гмурман В. Руководство к решению задач по теории вероятностей и математической статистике.- М.: “Высшая школа”, 2003. 2. Дрогомирецька Х.Т. та інші. Теорія ймовірностей та математична статистика.- Львів, вид-во НУ “ЛП”, 2012. 3. Рудавський Ю.К., Костробій П.П., Олексів І.Я. та інші. Збірник задач з теорії ймовірностей.- Львів, вид-во НУ “ЛП”, 2001.