Coursework "Systems' modeling and optimization"

Course: Applied Mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Coursework "Systems' modeling and optimization"
Code
ДВС.2.09
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
6 Semester
Number of ECTS credits allocated
2
Learning outcomes
LO09. 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. LO17. Be able to collect, process, analyze, systematize scientific and technical information, while avoiding academic dishonesty. PLO22.2. Have knowledge of the mathematical modeling and optimal management fundamentals, to the extent necessary for the development of applied disciplines and use the relevant knowledge in the chosen profession.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully complete the course work, students must meet the following requirements: To know: approaches to mathematical modeling and mathematical methods for solving different types of problems in the first five semesters; algebra, mathematical analysis, basics of numerical methods, differential equations, programming, control theory, etc. Be able to: analyze and prove mathematical statements; design and develop programs in at least one modern programming language, apply mathematical methods to solve specific problems. To possess basic skills in: working with scientific sources and information retrieval; presenting one's own opinion orally and in writing; communication with colleagues and teachers on research topics.
Course content
The main objectives of the course work are the acquisition of knowledge, skills and abilities (competencies) at the level of latest achievements in systems’ modeling and optimization, providing competencies according to the Bachelor of Applied Mathematics educational qualification. In the process of preparing the course work, students systematize, consolidate and expand theoretical and practical knowledge. А requirement to systematically update their knowledge, as well as apply them in solving specific professional problems is educated. Independent research work basic skills are developed.
Recommended or required reading and other learning resources/tools
1. L.L. Omelchuk, A.B. Stavrovskyi. Metodychni vkazivky z pidhotovky ta oformlennia kvalifikatsiinykh ta kursovyhh robit dlia studentiv fakultetu kompiuternykh nauk ta kibernetyky. K.: Kyivskyi natsionalnyi universytet imeni Tarasa Shevchenka, 2017. 47 s. http://csc.knu.ua/media/filer_public/4f/74/4f7459c9-9e5a-4a77-b8f3-ef30a1f435d5/qualification_work.pdf 2. D. Pecorari: Teaching to Avoid Plagiarism: How to promote good source use, Open University Press, 2013. 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.
Planned learning activities and teaching methods
Consultations with the scientific supervisor, independent work.
Assessment methods and criteria
Assessment during the semester. The course work defense. Maximum / minimum number of points that can be obtained by a student: 100/60 points, of which: The topic of work relevance substantiation: 10/6 points. Scientific literature processing and use: 15/9 points. The research methodology validity: 10/6 points. The quality of the results obtained and their relevance to the research topic: 20/12 points. Conclusions correspondence to research tasks: 10/6 points. Structure and presentation of material clarity: 10/6 points. Literacy rates: 5/3 points. Work design quality: 5/3 points. Systematic performance of work: 15/9 points. Final assessment (in the form of differentiated test): Credit points are defined as the sum of grades/points for all learning outcomes successfully assessed, provided by this program. Points below the minimum threshold value are not added. The minimum threshold for the all components total assessment is 60% of the maximum points possible.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline