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Discipline name

Applied systems analysis

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Year of study,
specialty

3,
1-31 03 09 Comp. mathematics and systems analysis

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Semester of study

5

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Number of credits

3

5

Lecturer

Dzianis Pirshtuk

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Study objectives

Obtain knowledge and practical skills required to apply methods of data mining and build analytical reports in Business Intelligence systems.

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Prerequisites

Computer mathematics, Databases

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Discipline contents

Data analysis. Business Intelligence. Data warehouses. Data visualization. Business Intelligence systems. Statistical analysis and machine learning algorithms. R language.

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Recommended readings

1. Паклин Н.Б., Орешков В.И. Бизнес-аналитика: от данных к знаниям. – СПб.: Питер, 2010.

2. Барсегян А.А. и др. Технологии анализа данных Data Mining, Visual Mining, Text Mining, OLAP. – СПб.: БХВ-Петербург, 2007.

3. Кацко И.А., Паклин Н.Б. Практикум по анализу данных на компьютере. – М.: КолосС, 2009.

4. Мастицкий С.Э., Шитиков В.К. Статистический анализ и визуализация данных с помощью R. – Электронная книга, адрес доступа: http://r-analytics.blogspot.com. 2014. – 401 c.

5. G. James, D. Witten, T. Hastie, R. Tibshirani. An Introduction to Statistical Learning with Applications in R. New York: Springer Science+Business Media. 2013 – 441 p.

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Format

Lectures, seminars, labs, distance learning

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Teaching languages

Russian

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Forms of assessment

Labs and computer tests

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Grading

Exam