roject and Technological Practical Training

Course: Data science

Structural unit: Faculty of information Technology

Title
roject and Technological Practical Training
Code
ОК 35
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
6 Semester
Number of ECTS credits allocated
3
Learning outcomes
Use the modern mathematical apparatus of continuous and discrete analysis, linear algebra, analytical geometry, in professional activities to solve problems of a theoretical and applied nature in the process of designing and implementing informatization objects. Develop software models of subject environments, to choose a programming paradigm from the standpoint of convenience and quality of application for the implementation of methods and algorithms for solving problems in the field of computer science. Use instrumental development tools for client-server applications, design conceptual, logical and physical models of databases, develop and optimize queries for them, create distributed databases, repositories and data marts, knowledge bases, including on cloud services, using web programming languages.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful completion of the professional training courses of the 1st to 3rd year, as outlined in the educational program "Data Analytics. 2. Knowledge and practical skills in applying algorithms and data structures, structural and object-oriented programming, computer architecture, operating systems, modern database management systems, query languages, web programming, discrete mathematics, probability theory and mathematical statistics, operations research methods, process modeling, artificial intelligence, and computational methods. 3. Proficiency in development and maintenance tools for the software lifecycle, data collection, storage, and processing.
Course content
The project-technological internship of the bachelor's degree program in "Data Analytics" in the specialty of Computer Science (122) is conducted in scientific institutions, organizations, or enterprises related to the IT industry and actively utilizing modern IT technologies in their operations. The main objective of the student during the internship is to become acquainted with the information technologies and software systems employed at the internship base organization, organizational and regulatory reference documents, and other available information that characterizes the activities of the internship base enterprise or its specific department. The student is also required to complete an individual assignment formulated by the internship supervisor from the organization and an individual assignment provided by the internship supervisor from the department. The outcomes of these assignments are documented in a report, which is then presented and defended.
Recommended or required reading and other learning resources/tools
1. Avramenko V.S., Avramenko A.S. Design of Information Systems: a textbook. - Cherkasy: Cherkasy National University named after B. Khmelnitsky, 2017. 434 p. 2. Glomozda D.K. Design, Systems Analysis, and Development of Corporate Information Systems: a textbook. - Kyiv: NaUKMA, 2015. - 95 p. 3. Design of Information Systems: General Issues of IS Design Theory (lecture notes): a textbook for students of Computer Science (specialty 122). - Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, 2020. - 192 p. 4. Anisimov A.V., Kulyabko P.P. Information Systems and Databases: a textbook for students of the Faculty of Computer Science and Cybernetics. - Kyiv, 2017. - 110 p. 5. Soroka P.M., Kharchenko V.V., Kharchenko G.A. Information Systems and Technologies in Organizational Management: a textbook. - Kyiv: CP "Komprint", 2019. - 518 p.
Planned learning activities and teaching methods
Consultations with the practice supervisor, studying documentation, independent work, completing individual tasks, preparing a practice report presentation of the practice report, project work in mini-groups.
Assessment methods and criteria
The final grade for the practice is determined based on the results of the practical training at the enterprise and the defense of the practice report. When assigning grades for the practice, the following criteria are taken into account: - Evaluation from the practice supervisor at the enterprise/organization - 40 points. - Evaluation from the practice supervisor at the university - 40 points. - Evaluation received during the defense of the practice report - 20 points. The students' performance during the practice is assessed on a 100-point scale. To obtain a passing grade for the practice, it is required to complete the practical training at the enterprise, achieve a score of at least 60% of the maximum possible points, and successfully defend the practice report.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline