Infopaket

Data Processing Software

ОК6

Обов’язкова дисципліна для ОП

Second

2023/2024

1 Semester

6

Develop algorithms and software for data analysis (including big data). Design architectural solutions of information and computer systems for various purposes. Create new algorithms for solving problems in the field of computer science, evaluate their effectiveness and limitations on their application. Evaluate and ensure the quality of information and computer systems for various purposes. Test the software. Identify and eliminate problem situations during software operation, formulate tasks for its modification or reengineering. Create and investigate information and mathematical models of systems and processes under study, including automation objects. Consolidate data from various sources of information, conduct their preliminary analysis, modeling and visualization.

Full-time form

1) understanding of the essence and basic concepts of computer science, algorithm theory; 2) understanding of the concept of "data analysis", its goals, objectives, characteristics, as well as knowledge and understanding of statistical methods of data analysis and data visualization methods. 3) possession of elementary skills in finding the necessary information to work 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 asking the question to be answered to the dessimination of analysis results. The discipline considers both the basics of programming in R and the use of additional libraries, primarily those belonging to the Tidyverse set.

Lectures, practical activities, individual work, consultations

Final assessment in the form of an exam: the exam is given to the student on the basis of a written exam, which consists of theoretical (learning outcomes 1.1. - 1.5) and practical parts (learning outcomes 2.1 - 2.8 and 3.1-3.2). The exam includes questions that allow you to check the program learning outcomes. A student is not allowed to take the exam if he/she has not completed and defended all practical and laboratory works during the study of the discipline. The maximum score for the exam is 40 points. The grade for the exam cannot be less than 24 points to get an overall positive grade for the course.

English