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Analytical Data Warehouse
Major: Computer Sciences
Code of Subject: 6.122.04.E.155
Credits: 4
Department: Artificial Intelligence Systems
Lecturer: Kryvenchuk Yu.P.
Semester: 4 семестр
Mode of Study: денна
Learning outcomes:
• ability to demonstrate knowledge and understanding of scientific and mathematical principles underlying information technology;
• ability to demonstrate knowledge of the basics of professionally-oriented disciplines of the specialty: methods and tools of modern information technology, computer technology and modern technologies of design and programming of information systems, mathematical methods of analysis and synthesis of complex objects, methods of collecting, processing, analyzing, systematizing and storage of scientific and technical information, methods and means of distributed systems and parallel calculations, principles and methods of construction and application of computer networks, principles of web-technologies and methods and means of their use to solve specialty problems;
• ability to demonstrate in-depth knowledge in at least one area of ??information technology;
• ability to demonstrate knowledge and skills in conducting experiments, data collection and modeling in the subject area.
• ability to develop analytical data warehouses with the help of appropriate software, using survey results, queries, features of the chosen way of presenting knowledge.
• ability to demonstrate knowledge of the basics of professionally-oriented disciplines of the specialty: methods and tools of modern information technology, computer technology and modern technologies of design and programming of information systems, mathematical methods of analysis and synthesis of complex objects, methods of collecting, processing, analyzing, systematizing and storage of scientific and technical information, methods and means of distributed systems and parallel calculations, principles and methods of construction and application of computer networks, principles of web-technologies and methods and means of their use to solve specialty problems;
• ability to demonstrate in-depth knowledge in at least one area of ??information technology;
• ability to demonstrate knowledge and skills in conducting experiments, data collection and modeling in the subject area.
• ability to develop analytical data warehouses with the help of appropriate software, using survey results, queries, features of the chosen way of presenting knowledge.
Required prior and related subjects:
details
Fundamentals of systems analysis
Organization of databases and knowledge
Fundamentals of programming and algorithmic languages
Problem-oriented programming languages
Co-requisites
Cloud technologies
Methods of artificial intelligence
Fundamentals of systems analysis
Organization of databases and knowledge
Fundamentals of programming and algorithmic languages
Problem-oriented programming languages
Co-requisites
Cloud technologies
Methods of artificial intelligence
Summary of the subject:
The purpose of the discipline is to study the theoretical foundations, methods and software designed to create and use data warehouses in intelligent decision-making systems.
Recommended Books:
1. Спирик Э. Корпоративные хранилища данных. Планирование, разработка, развитие / Э. Спирик.-М.: Издательский дом "Вильямс".2001.-400 с.
2. Хранилища данных: шаги от идеи до внедрения, 2006, http://www.cnews.ru/newcom/index.shtml.
3. Конноли Т. Базы данных: проектирование, реализация и сопровождение. Теория и практика. 2-е изд.: Пер. с англ / Т. Конноли, К. Бэгг, А. Страчан. – М.: Издательский дом «Вильямс», 2000. – 1120 с.
4. Глоссарий по DWH, OLAP, XML http://www.iso.ru/club/dict/ra.html
2. Хранилища данных: шаги от идеи до внедрения, 2006, http://www.cnews.ru/newcom/index.shtml.
3. Конноли Т. Базы данных: проектирование, реализация и сопровождение. Теория и практика. 2-е изд.: Пер. с англ / Т. Конноли, К. Бэгг, А. Страчан. – М.: Издательский дом «Вильямс», 2000. – 1120 с.
4. Глоссарий по DWH, OLAP, XML http://www.iso.ru/club/dict/ra.html
Assessment methods and criteria:
50 - labs
50 - exam
50 - exam