Бакалавриат 2021/2022

Статистические методы анализа рынка

Статус: Курс по выбору

Направление: 01.03.02. Прикладная математика и информатика

Кто читает: Департамент больших данных и информационного поиска

Где читается: Факультет компьютерных наук

Когда читается: 4-й курс, 1-3 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Демешев Борис Борисович, Касьянова Ксения Алексеевна

Язык: английский

Кредиты: 7

Контактные часы: 104

Course Syllabus

Abstract

In this course, we understand market analysis as a set of various probabilistic, statistical, econometric and stochastic methods that help to solve real applied problems. Classical approaches of data analysis do not always work properly in reality. There is a need to explore other methods (often more complex and advanced). We introduce some of such tools which can be applied in practice and, in our humble opinion, are extremely important and useful.

Learning Objectives

• to learn how various advanced probabilistic, statistical, econometric and stochastic techniques can be applied to the real business problems

Assessment Elements

• Final exam
• Midterm exam
• Home Assignments

Interim Assessment

• 2021/2022 3rd module
  0.5 * Final exam + 0.3 * Midterm exam + 0.2 * Home Assignments

Bibliography

Recommended Core Bibliography

• Malhotra, N. K. (2017). Marketing Research. [N.p.]: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1531280

Recommended Additional Bibliography

• Newbold, P., Carlson, W. L., & Thorne, B. (2013). Statistics for Business and Economics: Global Edition (Vol. Eight edition). Boston, Massachusetts: Pearson Education. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1417883