Bachelor's Thesis
Course: Computer science
Structural unit: Faculty of information Technology
Title
Bachelor's Thesis
Code
ОК37
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
3
Learning outcomes
Utilize the knowledge of basic forms and laws of abstract and logical thinking, foundational principles of scientific knowledge methodology, as well as the forms and methods of extraction, analysis, processing, and synthesis of information in the field of computer science.
Utilize methods of computational intelligence, machine learning, neural network, and fuzzy data processing, as well as genetic and evolutionary programming to address issues of recognition, forecasting, classification, and identification of control objects, among others.
Design, develop, and analyze algorithms to solve computational and logical tasks, evaluate the efficiency and complexity of algorithms utilizing formal models of algorithms and computational functions.
Employ the methodology of system analysis for objects, processes, and systems to analyze, forecast, manage, and design dynamic processes in macroeconomic, technical, technological, and financial entities.
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
Defense of the graduation qualification work
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline