Modern systems of information transmission and processing

Major: Computer-based environmental and economic monitoring
Code of subject: 7.122.08.E.018
Credits: 5.00
Department: Information Systems and Technologies
Lecturer: senior teacher, Ph.D. Yalechko V.I.
Semester: 2 семестр
Mode of study: денна
Мета вивчення дисципліни: The purpose of studying the discipline "Modern information transmission and processing systems" is to lay the foundations of knowledge in students, which are used for the analysis and forecasting of ecological processes and the systems that provide them, the formation of knowledge about modern information transmission systems, the main problems, types of systems, the peculiarities of their functioning
Завдання: As a result of studying the academic discipline, the specialist should know about the peculiarities of ecological systems from the point of view of modeling, study the basic principles of operation of some local and global information systems, the principles of operation of systems with an extended spectrum, global positioning systems and the GSM cellular telephony system. The study of an educational discipline involves the formation of competencies in students of education: integral competence: The ability to solve complex specialized tasks and practical problems during professional activity in the field of computer science and information technology or in the learning process related to computer environmental and economic monitoring. general competences: ZK 2. Possession of skills in the field of computer sciences and information technologies, in particular, computer ecological and economic monitoring. ZK 5. Ability to apply knowledge in practice. ZK 8. Ability to work in an interdisciplinary team. special competences: SC 1. Practical skills in the subject area. SK 2. Knowledge, understanding and use of modern information technologies. SK 4. The ability to demonstrate knowledge and understanding of the principles of creation and functioning of information products, systems and complexes. SK 6. Ability to develop, manage and administer database systems. SK 9. Skills and abilities to work with cloud services. SK 10. Skills of creating applications for WEB services for data processing using servlets.
Learning outcomes: As a result of studying the academic discipline, the student must: to know: types of systems for sending and processing ecological and economic information; be able to: apply modern technologies and tools of information forwarding and processing systems for forecasting the state of the environment. As a result of the study of the academic discipline, the student must be able to demonstrate the following learning outcomes: PR 2. Use basic knowledge of modern information systems and technologies, programming skills, technologies for safe work in computer networks, methods of creating databases and Internet resources, technologies for developing algorithms and computer programs in high-level languages ??using object-oriented oriented programming for solving problems of designing and using information systems and technologies. PR 6. Demonstrate practical programming skills and the use of applied and specialized computer systems and environments in order to implement them in professional activities. PR 9. Carry out object-oriented analysis and design UM 1.3. Be able to mathematically formulate and investigate continuous and discrete mathematical models, justify the choice of methods and approaches for solving theoretical and applied problems in the field of computer science, analysis and interpretation. UM 1.4. Use basic knowledge and skills to develop visualization components of intelligent systems. UM 1.6. Create big data analysis technologies based on the use of intelligent software components, artificial neural networks, machine learning, evolutionary modeling, genetic algorithms and fuzzy logic. UM 2.2. Demonstrate knowledge of the basic concepts of the theory of algorithms, formal models of algorithms, primitively recursive, general recursive and partially recursive functions, issues of computability, solvability and unsolvability of massive problems, concepts of time and space complexity of algorithms when solving computational problems. UM 2.3. Be able to ensure the organization of computing processes in information systems of various purposes, taking into account the architecture, configuration, performance indicators of the functioning of operating systems and system software. AiB1 Ability to adapt to new conditions.
Required prior and related subjects: • Computer networks, • Internet technology.
Summary of the subject: The program of study of the educational discipline by choice "Modern information transmission and processing systems" is compiled in accordance with the educational and professional master's program "Computer ecological and economic monitoring". The subject of study of the academic discipline is research and modeling of environmental information transmission and processing systems, their monitoring and features of modern setting and adaptation, a systematic approach to information collection during natural phenomena, the use of GPS systems, the application of information transmission and processing systems to solve the problems of environmental data monitoring, methods of their storage and processing, basics of modeling and security of IoT systems.
Опис: Lecture. 1. Carrier modulation methods in information systems Lecture 2. Access protocols in wireless networks Lecture 3. Some wireless wide area and local area networks Lecture 4. Digital communication systems with extended spectrum Lecture 5. Global positioning satellite systems Lecture 6. Principles of operation, architecture and security of the GSM cellular network.
Assessment methods and criteria: Methods of controlling the knowledge and skills of the student in studying the discipline include: 1. Current control of the applicant's work: with the help of an oral survey during admission to laboratory classes; protection of performed laboratory work; performance of individual works; work in the Internal Revenue Service 2. Final (credit) control: Compilation of the credit control involves the performance of written and oral components. The written component includes practical tasks to be solved on the basis of the studied lectures. The oral component involves an explanation of the completed practical tasks
Критерії оцінювання результатів навчання: Laboratory work (performance and defense): 30 points Obligatory types of work of current control include the performance of laboratory work with placement in the emergency department, which are composed and evaluated, respectively, from 0 to 4 (7) points: from 1 to 4 work 4 points each 4*4 = 16 points, 5 and 6 work – 7 points each 2*7=14 points. Points are deducted for late submission and mistakes. Semester test: 70 points The assessment consists of a written and an oral component. The written component is a score card, which consists of tasks of two levels, which are evaluated on a separate scale: Level 1 - tests - 20 points; Level 2 - give the correct definition - 20 points Level 3 - give a detailed answer to the question (practical task) - 30 points. The oral component provides an explanation of the written components of the practical tasks.
Порядок та критерії виставляння балів та оцінок: 100-88 points - certified with an “excellent” grade - High level: the student demonstrates an in-depth mastery of the conceptual and categorical apparatus of the discipline, systematic knowledge, skills and abilities of their practical application. The mastered knowledge, skills and abilities provide the ability to independently formulate goals and organize learning activities, search and find solutions in non-standard, atypical educational and professional situations. The applicant demonstrates the ability to make generalizations based on critical analysis of factual material, ideas, theories and concepts, to formulate conclusions based on them. His/her activity is based on interest and motivation for self-development, continuous professional development, independent research activities, implemented with the support and guidance of the teacher. 87-71 points - certified with a grade of “good” - Sufficient level: involves mastery of the conceptual and categorical apparatus of the discipline at an advanced level, conscious use of knowledge, skills and abilities to reveal the essence of the issue. Possession of a partially structured set of knowledge provides the ability to apply it in familiar educational and professional situations. Aware of the specifics of tasks and learning situations, the student demonstrates the ability to search for and choose their solution according to the given sample, to argue for the use of a particular method of solving the problem. Their activities are based on interest and motivation for self-development and continuous professional development. 70-50 points - certified with a grade of “satisfactory” - Satisfactory level: outlines the mastery of the conceptual and categorical apparatus of the discipline at the average level, partial awareness of educational and professional tasks, problems and situations, knowledge of ways to solve typical problems and tasks. The applicant demonstrates an average level of skills and abilities to apply knowledge in practice, and solving problems requires assistance, support from a model. The basis of learning activities is situational and heuristic, dominated by motives of duty, unconscious use of opportunities for self-development. 49-00 points - certified with a grade of “unsatisfactory” - Unsatisfactory level: indicates an elementary mastery of the conceptual and categorical apparatus of the discipline, a general understanding of the content of the educational material, partial use of knowledge, skills and abilities. The basis of learning activities is situational and pragmatic interest.
Recommended books: 1. М. З. Згуровський, І. І. Коваленко, В. М. Михайленко. Вступ до комп’ютерних інформаційних технологій. Навч. пос. „Європейський ун-т”, 2002. – 265 с. 2. Романов А.И. Телекомунікаційні мережі та управління. Київ : ВПЦ “Київський університет”, 2003. 247 с. 3. Буров Є. Комп’ютерні мережі. Львів. : Бак, 2003. 584 с. 4. Мандзій Б. А., Матвійчук Я. М, Бондарєв А. П. Радіо- та оптичні тракти безпровідних інформаційних мереж. Консп. лекцій. Нац. ун-т "Львівська політехніка", ІТРЕ, 2004. –49 с. 5. Fette B. Cognitive Radio Technology / B. Fette. – New York : Academic Press, 2009. – 848 p. 6. Банкет В.Л. Завадостійке кодування в телекомунікаційних системах: навчальний посібник. Одеса : ОНАЗ ім. О. С. Попова, 2011. 100 с. 7. Дружинін В. А. Проблеми формування та обробки радіолокаційної інформації в системах радіобачення : монографія / В. А. Дружинін. – Київ : Логос, 2013. – 230 с. 8. Hiari O. A Reconfigurable SDR Transmitter Platform Architecture for Space Modulation MIMO Techniques / O. Hiari, R. Mesleh // IEEE Access. – 2017. – Vol. 5. – P. 24214–24228. 9. Бойко Ю. М. Методика обробки та синхронізації сигналів у програмно-обумовлених радіосистемах з OFDM / Ю. М. Бойко, І. С. Пятін, I. Р. Пархомей // Вісник Хмельницького національного університету. Технічні науки. – 2022. – № 2. – С. 123–132. 10. https://defence-ua.com/army_and_war/globalni_navigatsijni_sistemi_rol_v_suchasnih_vijskovih_konfliktah-2538.html Глобальні навігаційні системи 4. Wireless Innovation Forum. URL: https://www.wirelessinnovation.org
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