Bachelor's Thesis

Course: Data science

Structural unit: Faculty of information Technology

Title
Bachelor's Thesis
Code
ОК 37
Module type
Кваліфікаційна робота
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
6
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. 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. Apply methods and algorithms of computational intelligence and intelligent data analysis in tasks of classification, prediction, cluster analysis, and searching for associative rules using software tools to support multidimensional data analysis based on technologies such as Data Mining, Text Mining, and Web Mining.
Form of study
Full-time form
Prerequisites and co-requisites
Missing.
Course content
Qualification work involves theoretical, system-technical, or experimental research on one of the current tasks in the field of specialization 122 "Computer Science," demonstrating the author's ability to apply acquired competencies and learning outcomes. It requires logically presenting one's views on the research topic based on contemporary scientific methods, drawing well-founded conclusions, and formulating specific proposals and recommendations for solving the addressed problem. Additionally, it aims to identify the author's inclination towards scientific or practical activities.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
Consultations with the scientific supervisor, independent work.
Assessment methods and criteria
Захист випускної кваліфікаційної роботи
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline