Infopaket

Information processing and analysis technologies

ДВС.3.03.02

Вибіркова дисципліна для ОП

Second

2022/2023

4 Semester

3

PLO3. Gaining knowledge for the ability to evaluate existing technologies and on the basis of analysis to form requirements for the development of advanced information technologies. PLO6. Be able to design and use existing data integration tools, process data stored in different systems. PLO7. Be able to organize, configure and develop Web-systems using the principles of distributed systems, hypertext systems, appropriate hardware and software. PLO10. Be able to build models of physical and production processes, design of storage and data space, knowledge base, using charting techniques and standards for information systems development.

Distance form

Know: the basics of tabular data manipulation, the concept of relational databases and their transformations, in particular, normalization and denormalization; Be able to: apply in practice instrumental environments of programming and data processing. Have the skills of: visual design.

The goal of the learning course is to acquire basic knowledge and master the skills of data processing technologies and the development of information and analytical systems. The educational course "Information processing and analysis technologies" is a component of the program of training specialists at the second (master's) level of higher education in the field of knowledge 11 "Mathematics and statistics" from specialty 113 "Applied mathematics", educational and professional program "Applied mathematics". This course is optional. It is taught in the 2nd semester of the 2nd year in the amount of 90 hours. (4 ECTS credits), in particular: lectures - 10 hours, laboratory - 10 hours, consultations - 2 hours, independent work - 68 hours. The course ends with an exam in the 2nd semester.

1. Akimenko V.V. Prykladni zadachi intekektualnoho analizu danykh (DATA MINING). – Кyiv, 2018. – 152 p. 2. Understanding Microsoft OLAP Architecture. – [Електронний ресурс], режим доступу: https://docs.microsoft.com/en-us/analysis-services/multidimensional-models/olap-physical/understanding-microsoft-olap-architecture?view=asallproducts-allversions 3. Adding a KPI to an SQL Server Analysis Services Cube. – [Електронний ресурс], режим доступу: https://www.red-gate.com/simple-talk/databases/sql-server/bi-sql-server/adding-a-kpi-to-an-sql-server-analysis-services-cube/ 4. How to prepare a simple OLAP cube using SQL Server Analysis Services. – [Електронний ресурс], режим доступу: https://www.netwoven.com/2014/06/18/how-to-prepare-a-simple-olap-cube-using-sql-server-analysis-services/

Lectures, laboratory work, independent work.

Semester assessment: 1. Laboratory work: LO 2.1 – 30/18 points. 2. Laboratory work: LO 2.2 – 30/18 points. Final evaluation (in the form of an exam): - the maximum number of points that can be obtained by a student: 40 points; - learning outcomes that will be assessed: LO1.1, LO1.2; - form of implementation and types of tasks: written work.

Ukrainian