Course work for masters
Course: Software engineering
Structural unit: Faculty of Computer Science and Cybernetics
Title
Course work for masters
Code
ОК.19
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
2
Learning outcomes
LO06. Know: software lifecycle models; software tools for information systems development; algorithms for solving relevant problems in the field of informatics and software engineering.
LO13. Be able to: summarize domestic and foreign experience in the field of computer technology using modern research methods; make the right decisions in the process of developing information systems; work with professional literature; apply modern technologies; process and analyze the results.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know: stages of the software life cycle and principles of software design.
2. Be able to: apply in practice software tools for software design and development; Apply in practice theoretical knowledge and methods of information systems development, current issues of object-oriented programming.
3. Have basic skills: basic programming, development and maintenance of databases and knowledge bases, the use of tools for design and software development.
Course content
The course work is a component of the educational-scientific program of training specialists for the first (bachelor's) level of higher education within the educational-professional program "Software Engineering".
The purpose of the discipline is to systematize, consolidate and expand students' theoretical and practical knowledge, as well as their application in solving specific professional problems; Development of skills of independent work; Mastering research methods and other forms of work; Educating the need to systematically update knowledge and creatively apply them in practice.
Recommended or required reading and other learning resources/tools
1 D. Pecorari: Teaching to Avoid Plagiarism: How to promote good source use, Open University Press, 2013.
2 L.L. Omelchuk, A.B. Stavrovsky: Guidelines for the preparation and design of qualifying and term papers for students of the Faculty of Computer Science and Cybernetics. Kyiv: Taras Shevchenko National University of Kyiv, 2017 - 47 p.
3 R.V. Smith, L.D. Densmore, E.F. Lener: Graduate Research a Guide for Students in the Sciences, 4th ed., Academic Press, 2016.
4 E.-C. Leong, C. Lee-Hsia Heah, K. Keng Wee Ong: Guide to Research Projects for Engineering Students, CRC Press, 2016.
Planned learning activities and teaching methods
Consultations with the supervisor, independent work, defense of course work.
Assessment methods and criteria
Final assessment (in the form of differentiated credit):
- Relevance of the topic: 10 points.
- Elaboration and use of scientific literature: 15 points.
- Substantiation of research methodology: 10 points.
- Analysis and interpretation of the results: 30 points.
- Correspondence of conclusions to research tasks: 5 points.
- Structure of work: 5 points.
- Literacy: 5 points.
- Quality of work design: 5 points.
- Systematic performance of work: 15 points.
The evaluation is carried out by a commission, which must include a supervisor and a guarantor of the educational program
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Olena
O.
Hrinenko
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Olha
O.
Slabospytska
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Oleksandr
M.
Khodzinskyi
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Volodymyr
P.
Shevchenko
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Oleksandr
I.
Provotar
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Serhii
L.
Kryvyi
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics