Control and Decision Support in Smart-Systems

Major: Information Control Systems and Technologies
Code of subject: 7.122.01.O.004
Credits: 5.00
Department: Automated Control Systems
Lecturer: PhD, Assoc.Prof. I. Kazymyra
Semester: 1 семестр
Mode of study: денна
Мета вивчення дисципліни: The formation of students' theoretical knowledge and practical skills in the field of setting and solving management and decision support problems in smart systems, which involves building mathematical models, solving problems of analysis, synthesis and multi-criteria optimization, which makes it possible to reduce the costs of developing smart - system
Завдання: The study of an educational discipline involves the formation of competencies in students of education: Integral competence The ability to solve problems of a research and/or innovative nature in the field of computer science. General competences: - ability to abstract thinking, analysis and synthesis; - ability to apply knowledge in practical situations; - the ability to learn and master modern knowledge; - the ability to be critical and self-critical. Sectional (professional) competences: - Ability to use mathematical methods to analyze formalized models of the subject area. - Ability to collect and analyze data (including large data) to ensure the quality of project decision-making. - Ability to develop, describe, analyze and optimize architectural solutions of information and computer systems for various purposes. - Ability to develop software according to formulated requirements, taking into account available resources and limitations. - Ability to develop and implement software creation projects, including in unpredictable conditions, with unclear requirements and the need to apply new strategic approaches, use software tools to organize teamwork on the project.
Learning outcomes: - Manage work processes in the field of information technologies, which are complex, unpredictable and require new strategic approaches. -. Evaluate the results of teams and collectives in the field of information technologies, ensure the effectiveness of their activities. -. Develop a conceptual model of an information or computer system. - Develop and apply mathematical methods for the analysis of information models. - Develop mathematical models and data analysis methods (including large ones).
Required prior and related subjects: prerequisites Mathematical methods of operations research requisites Integrated hierarchical control systems Management technologies of smart systems
Summary of the subject: The control and decision-making process in smart systems involves building mathematical models, solving problems of analysis, synthesis and optimization, which makes it possible to reduce costs for the development of technical systems. In this discipline, students study the features of multi-criteria optimization problems, their formulation algorithm, methods of solving and applying multi-criteria optimization problems to solving control and decision-making problems in smart systems.
Опис: Introduction, basic concepts, and course definitions. Methods of solving multi-criteria optimization (MCO) problems using a generalized (integral) criterion. Methods of convolution of vector criteria. Methods of determining weighting factors. Solving MCO problems using Pareto set construction. Methods of solving MCOO problems based on genetic algorithms. Statistical methods of solving MCO problems. ELECTRE methods. Hierarchy analysis method (AHP). Examples of solving MCO problems and making decisions.
Assessment methods and criteria: Evaluation of practical tasks, evaluation of written work on the exam, answers to oral questions.
Критерії оцінювання результатів навчання: 40% - current control (practical classes) 60% - exam (oral and written components)
Порядок та критерії виставляння балів та оцінок: 100–88 points – (“excellent”) is awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their interrelationship and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems; 87–71 points – (“good”) is awarded for a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions posed, which, however, contain certain (insignificant) shortcomings, for the ability to apply theoretical provisions when solving practical tasks; 70 – 50 points – (“satisfactory”) awarded for weak knowledge of the component’s educational material, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Recommended books: 1. Моделювання та оптимізація систем : підручник / [Дубовой В. М. , Квєтний Р. Н. , Михальов О. І. , Усов А. В. ] – Вінниця : ПП «ТД«Едельвейс», 2017 – 804 с 2. Моделі й методи прийняття рішень: навч. посіб. / С.А. Ус, Л.С. Коряшкіна; М-во освіти і науки України, Нац. гірн. ун-т. – Д. : НГУ, 2014. – 300 с. 3. Моделі та методи прийняття рішень: навчальний посібник / Л. Нікітіна, І. Яценко. – Харків: НТУ «ХПІ», 2023. – 179 с. 4. Теслюк В.М., Загарюк Р.В. Методи багатокритеріальної оптимізації. Конспект лекцій з курсу «Методи багатокритеріальної оптимізації» для студентів базового напряму 6.050101 «Комп’ютерні науки», Ч.1. Львів, 2012. - 52с. 5. Теслюк В.М., Андрійчук М.І. Конспект лекцій з курсу «Методи синтезу та оптимізації» для студентів базового напряму «Комп’ютерні науки», Ч.1. - Львів, 2005 – 64 с. 6. Теслюк В.М., Пелешко Д.Д. Методи цілочисельного програмування та нульового порядку. Конспект лекцій з курсу «Методи синтезу та оптимізації» для студентів базового напряму 6.050101 «Комп’ютерні науки», Ч.2. Львів, 2013. (Самвидав. реєстр. номер №4946 від 27.05.2013. – 84с.) 7. Теслюк В.М. Градієнтні методи розв’язання оптимізаційних задач. Конспект лекцій з курсу «Методи синтезу та оптимізації» для студентів базового напряму 6.050101 «Комп’ютерні науки», Ч.3. Львів, 2013.(Самвидав. реєстр. номер №4947 від 27.05.2013. – 67с.) 8. Теслюк В.М. Моделі та інформаційні технології синтезу мікроелектромеханічних систем: Монографія. – Львів: Видавництво ПП ”Вежа і Ко”, 2008 – 192 с. 9. Lopez Jaimes, Antonio & Zapotecas-Martinez, Saul & Coello, Carlos. (2011). An Introduction to Multiobjective Optimization Techniques. Доступно за посиланням: https://www.researchgate.net/publication/283325825_An_Introduction_to_Multiobjective_Optimization_Techniques 10. Giagkiozis, I. and Fleming, P.J. (2015) Methods for multi-objective optimization: An analysis. Information Sciences, 293. 338-350. ISSN 0020-0255 Доступно за посиланням: https://doi.org/10.1016/j.ins.2014.08.071 11. G. Chiandussi, M. Codegone, S. Ferreroc, F.E. Varesioa. Comparison of multi-objective optimization methodologies for engineering applications. - Computers & Mathematics with Applications, Volume 63, Issue 5, March 2012, pp. 912-942 Доступно за посиланням: https://doi.org/10.1016/j.camwa.2011.11.057
Уніфікований додаток: Lviv Polytechnic National University ensures the realization of the right of persons with disabilities to obtain higher education. Inclusive educational services are provided by the Service of accessibility to learning opportunities "Without restrictions", the purpose of which is to provide permanent individual support for the educational process of students with disabilities and chronic diseases. An important tool for the implementation of the inclusive educational policy at the University is the Program for improving the qualifications of scientific and pedagogical workers and educational and support staff in the field of social inclusion and inclusive education. Contact at: St. Karpinsky, 2/4, 1st floor, room 112 E-mail: nolimits@lpnu.ua Websites: https://lpnu.ua/nolimits https://lpnu.ua/integration
Академічна доброчесність: The policy regarding the academic integrity of the participants of the educational process is formed on the basis of compliance with the principles of academic integrity, taking into account the norms "Regulations on academic integrity at the Lviv Polytechnic National University" (approved by the academic council of the university on June 20, 2017, protocol No. 35).