Infopaket

Applied analytics in IT projects

ОК4

Обов’язкова дисципліна для ОП

Second

2024/2025

1 Semester

4

Manage work processes in the field of information technologies, which are complex, unpredictable and require new strategic approaches. Develop algorithmic and software for data analysis (including large data). Create new algorithms for solving problems in the field of computer science, evaluate their effectiveness and limitations on their application. Assess and ensure the quality of information and computer systems for various purposes. Test the software.

Full-time form

understanding of the essence and basic concepts of computer science, the theory of algorithms; understanding of the concept of "data analysis", its goals, tasks, characteristics, as well as knowledge and understanding of statistical methods of data analysis and data visualization methods. possession of elementary skills of finding the necessary information for working with the R programming language.

The discipline is devoted to the study of conceptual and methodological foundations of applied data analysis. The R programming language is used as a data analysis tool. Additional tools necessary for data analysis are also considered. The discipline pays attention to the entire process of data analysis, from posing a question that needs to be answered to disseminating the results of the analysis. Within the framework of the discipline, both the basics of programming in the R language and the use of additional libraries, primarily those belonging to the Tidyverse set, are considered.

1. Yehorchenkov O.V. Product-Resource Planning System [Текст]/Yehorchenkov O.V., Yehorchenkov N.I. // IEEE First International Conference on Data Stream Mining & Processing, Ukraine, Lviv, 23-37 august 2016, P.29-33 2. Yehorchenkov O.V. PrimaDoc – an enterprise information management system: implementation of the development and deployment project [Текст]/ Yehorchenkov O., Boyko N., Teslia I., Khlevna I., Ivanov Y., Kubiavka L., Latysheva Y., Yehorchenkova N., Kravchuk N.// The 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2017) September 21-23, 2017 Bucharest, Romania, pp. 923-929 3. Yehorchenkov O.V. Development of principles and method of electronic project management [Текст]/Yehorchenkov O.V., Teslia I., Yehorchenkova N., Kataieva Y., Zaspa G., Khlevna I. // Східно-Європейський журнал передових технологій. – №5 – 2017. – С.23-29

Lectures, practical activities, individual work, consultations

The credit is issued to the student based on the results of work during the semester. At the last practical lesson, a final modular test is conducted in the form of a final computer test with a final grade of up to 20 points. Upon receipt of the resulting final number of points from 60 and above, the student is assigned a credit. If the student wishes to improve his result if he has credit points, he has the right to take a credit for which 20 points are awarded, but the total number of points cannot exceed 100 points. Students who scored a total of fewer points than the critical calculated minimum - 36 points are not allowed to take the test. The recommended minimum for admission to the test is 48 points.

Ukrainian