System Engineering (Internet of Things)
6.122.00.09 System Engineering (Internet of Things)
Qualification awarded: Bachelor of Computer Science with a degree in Systems Engineering (Internet of Things)
Entry year: 2024
Mode of study: full
Program duration: 4 years
Institute: Institute of Computer Technologies, Automation and Metrology
Number of credits: credits of ECTS 240
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: NQF Level 6 (First cycle of QF-EHEA / EQF Level 6)
Field(s) of study: Information technology
Specific admission requirements: For admission for 2 year – junior specialist diploma and professional exam
Qualification requirements and regulations, including graduation requirements: The full implementation of the curriculum and defense of bachelor qualification work
Characteristics of the educational program: The program is based on known and special knowledge, advanced research results in the fields of information technology, computer science, computer engineering, automation and computer-integrated technologies and programming and focuses on the actual specialization, within which possible further professional and scientific career - system engineering. The program is focused on the development of the Internet of things devices, the devices’ equipment with embedded computers and sensors, control systems, technology processes execution nodes, processing information coming from the environment, its exchange, accumulation, and analysis to implement systems "smart city" and "smart home ." This guarantees a broad knowledge and skills in information technology and provides students with the opportunity to choose to continue their education at the graduate level in the universities accross the world where similar training programs are implemented.
Програмні результати навчання: 1) Apply knowledge of the basic forms and laws of abstract logical thinking, the basics of methodology of scientific knowledge, forms and methods of extraction, analysis, processing and synthesis of information in the subject area of computer science.
2) Use modern mathematical apparatus of continuous and discrete analysis, linear algebra, analytical geometry, in professional activities to solve problems of theoretical and applied nature.
3) Use knowledge of the laws of random phenomena, their properties and operations on them, models of random processes and modern software environments to solve problems of statistical data processing and construction of predictive models.
4) Use the methods of computational intelligence, machine learning, neural network and fuzzy data processing, genetic and evolutionary programming to solve problems of recognition, prediction, classification, identification of control objects, etc.
5) Design, develop and analyze algorithms for solving computational and logical problems, evaluate the efficiency and complexity of algorithms based on the use of formal models of algorithms and computational functions.
6) Use methods of numerical differentiation and integration of functions, solution of ordinary differential and integral equations, features of numerical methods and possibilities of their adaptation to engineering problems, have skills of software implementation of numerical methods.
7) Understand the principles of modeling organizational and technical systems and operations; use methods of operations research, solving one- and multi-criteria optimization problems of linear, integer, nonlinear, stochastic programming.
8) Use the methodology of system analysis of objects, processes and systems for the tasks of analysis, forecasting, management and design of dynamic processes in macroeconomic, technical, technological and financial objects.
9) Develop software models of subject environments, choose a programming paradigm from the standpoint of convenience and quality of application for the implementation of methods and algorithms for solving problems in the field of computer science.
10) Use tools to develop client-server applications, design conceptual, logical and physical models of databases, develop and optimize queries to them, create distributed databases, repositories and storefronts, knowledge bases, including cloud services, using web languages -programming.
11) Have the skills to manage the life cycle of software, products and services of information technology in accordance with the requirements and restrictions of the customer, be able to develop project documentation (feasibility study, terms of reference, business plan, agreement, contract, contract).
12) Apply methods and algorithms of computational intelligence and data mining in the problems of classification, forecasting, cluster analysis, search for associative rules using software tools to support multidimensional data analysis based on technologies DataMining, TextMining, WebMining.
13) Know the languages of system programming and software development methods that interact with the components of computer systems, know network technologies, computer network architectures, have practical skills in computer network administration technology and their software.
14) Know the languages of system programming and software development methods that interact with the components of computer systems, know network technologies, computer network architectures, have practical skills in computer network administration technology and their software.
15) Apply knowledge of methodology and CASE-tools for designing complex systems, methods of structural analysis of systems, object-oriented design methodology in the development and study of functional models of organizational-economic and production-technical systems.
16) Understand the concept of information security, the principles of secure software design, ensure the security of computer networks in conditions of incomplete and uncertain source data.
17) Perform parallel and distributed calculations, apply numerical methods and algorithms for parallel structures, parallel programming languages in the development and operation of parallel and distributed software.
Academic mobility: No, but mobility is encouraged and recognized in accordance with procedures of ECTS
Work placement(s): Practice on the theme of Bachelor
Programme director: prof. Nakonechny Adrian Yosyfovych (tel. 0677047595, email: adrnakon@gmail.com)
Access to further studies: Obtaining the second (master's) level
Other program features: The program is implemented in Ukrainian.