Preparation of the final qualifying work of the bachelor

Course: Applied Mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Preparation of the final qualifying work of the bachelor
Code
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
6
Learning outcomes
LO3. Formalize problem sets up in the language of a subject area; define mathematical formulation and choose a rational problem-solving approach; solve the obtained problems with analytical and numerical methods, evaluate the accuracy and reliability of the results. LO5. Be able to develop and use in practice algorithms related to the approximation of functional dependencies, numerical differentiation and integration, solving systems of algebraic, differential and integral equations, solving boundary value problems, finding optimal solutions. LO10. Build efficient algorithms regarding the accuracy of calculations, stability, speed and cost of system resources for numerical study of mathematical models and solution of practical problems. LO13. Solve particular engineering problems and/or problems that arise in at least one subject area: sociology, economics, ecology, and medicine. LO19. Communicate effectively on information, ideas, problems and solutions with professionals and society.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know: the main stages and principles of application software design; current trends in computer science. 2. Be able to: apply in practice the knowledge and skills of computer science in the design and development of application software; apply in practice the knowledge gained while listening to previous courses of the educational program. 3. Master skills: programming, use of software tools for software design and development; conducting theoretical and/or experimental research in the field of computer science; apply mathematical methods and algorithmic principles in modeling, design, development and maintenance of information technology; to develop, implement and maintain intelligent systems for analysis and data processing of organizational, technical, natural and socio-economic systems.
Course content
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 independent work skills; mastering research methods and other forms of work; consolidation of knowledge, skills acquired in mastering the disciplines of the theoretical cycle. students' mastery of modern methods, forms of organization and tools, education of the need to systematically update their knowledge and creatively apply them in practice. Qualification work involves theoretical, systemic or experimental study of a complex specialized task or practical problem in the field of computer science, which is characterized by complexity and uncertainty of conditions and requires the use of theories and methods of information technology.
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. Stavrovskyi. Metodychni vkazivky z pidhotovky ta oformlennia kvalifikatsiinykh ta kursovykh robit dlia studentiv fakultetu kompiuternykh nauk ta kibernetyky. K.: Kyivskyi natsionalnyi universytet imeni Tarasa Shevchenka, 2017 – 47 s. 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. Y.F. May: How to Read and Critique a Scientific Research Article: Notes to Guide Students Reading Primary Literature (with Teaching Tips for Faculty members), World Scientific Publishing Co. Pte. Ltd., 2014. 5. F.R. Librero: Writing Your Thesis (A Practical Guide for Students), University of the Philippines Open University, 2012. 6. M. Berndtsson, J. Hansson, B. Olsson, B. Lundell, Thesis Projects: A Guide for Students in Computer Science and Information Systems, 2nd ed., Springer, 2008.
Planned learning activities and teaching methods
Consultations with the supervisor, independent work.
Assessment methods and criteria
Final evaluation (in the form of protection). The maximum / minimum number of points that can be obtained by students as a result of the defense of final qualification theses is 100 points / 60 points, of which: 1. Relevance of the topic - 5 points / 3 points. 2. Scientific component of the work - 25 points / 15 points. 3. Use of scientific literature - 10 points / 6 points. 4. Analysis and interpretation of the obtained results 30 points / 18 points. 5. Structure of work - 5 points / 3 points. 6. Quality of work design - 5 points / 3 points. 7. Presentation of the work - 10 points / 6 points. 8. Answers to the questions of the commission members - 10 points / 6 points. All final theses of students must be tested for plagiarism before defense.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Alexander M. Iksanov
Operations Research
Faculty of Computer Science and Cybernetics
Oleg K. Zakusylo
Operations Research
Faculty of Computer Science and Cybernetics
Alexander V. Marynych
Operations Research
Faculty of Computer Science and Cybernetics
Ivan K. Matsak
Operations Research
Faculty of Computer Science and Cybernetics
Danylo P. Proskurin
Operations Research
Faculty of Computer Science and Cybernetics
Ihor V. Samoilenko
Operations Research
Faculty of Computer Science and Cybernetics
Viacheslav I. Rabanovich
Operations Research
Faculty of Computer Science and Cybernetics
Roman Ya. Yakymiv
Operations Research
Faculty of Computer Science and Cybernetics
Andrii V. Zavorotynskyi
Operations Research
Faculty of Computer Science and Cybernetics