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Control Technologies
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Summary of the Profile
General Description: Objective(s) of a study programme: To develop competences in classic and modern process and system control, robotic system design and programming, application of modern automation equipment and to be able to apply them in researching complex systems and process control problems, modeling and creating innovative control systems based on the latest scientific achievements. Learning outcomes:
Knowledge and its Application: A1 Is able to recognize classic and modern principles and methods of automatic control; A2 Is able to describe and compare methods of mathematical formalization of technical systems and technological process control problems and modeling of control systems; A3 Is able to evaluate the processes taking place in technical and technological systems and propose methods of their control. Special (engineering analysis and design) Skills: B1 Is able to select the latest information in the field of control of specific processes and systems and apply it to the solution of practical control problems; B2 Is able to recognize original solutions and apply innovative methods in solving problems; B3 Is able to analyze and evaluate control concepts of technological processes and technical systems of various industries, formulate control system development problems and apply available knowledge and understanding to control problem solving; B4 Is able to create mathematical models of processes and systems, using all available information: theoretical knowledge, experimental and observational data, expert knowledge and uncertain information; B5 Is able to apply the obtained knowledge and understanding in solving control problems of technical systems and technological processes in various branches of industry taking into account the links of control systems with specific areas of application (chemical technology, biotechnology, food industry, energetics, environmental engineering, medicine, etc.); B6 Is able to fuse the knowledge of various modelling and control methods for development of specific purpose hybrid models and control algorithms; B7 Is able to formulate and solve optimization and optimal control problems of processes and systems; B8 Is able to design the systems of automatic control, diagnostics and observation, develop the system operation algorithms and perform the system tuning; B9 Is able to configure and to programme controllers, data acquisition, supervisory and distributed control systems. Research Skills and Practical Activities: C1 Is able to perform analytical analysis of control objects, plan and conduct experimental research, analyze and evaluate the results of experiments, identify mathematical models; C2 Is able to apply simulation methods for investigation of processes and systems;
C3 Is able to summarize research results, presenting conclusions and proposing possible solutions; C4 Is able to identify the development and implementation technologies of various technical systems and technological process control systems, their advantages and disadvantages; C5 Is able to integrate various areas of control engineering with the ability to solve multiple engineering problems; C6 Is able to assess the ethical, environmental and commercial constraints of engineering activities, assuming responsibility for engineering activities, from the point of view of health, safety, impact on society and the environment. Personal (decision-making, lifelong learning, cooperation and teamwork) Skills: D1 Is able to use legal and normative documents regulating the principles of development, design and implementation of control systems and their economic consequences; D2 Is able to work effectively individually and in a team, presenting their ideas and solutions to different audiences nationally and internationally; D3 Is able to manage projects, plan and organize scientific and experimental research, prepare scientific publications, reports and reports; D4 Is able to relate health and safety issues related to engineering activities and responsibility for the impact of engineering solutions on society and the environment; D5 Is able to independently continuously learn and improve, formulate and achieve set goals. Activities of teaching and learning: The studies include classroom work (lectures, practical work, laboratory work, consultation seminars, outgoing visits to enterprises, etc.) and individual work for mastering theoretical material, preparation for classroom work, intermediate and final assessments and performing other activities. The studies of each study module are completed by the assessment of the student’s knowledge and skills – an examination or another final assessment; the study programme is completed by the final degree project and its defence. The study methods of active learning, such as design (programming), design thinking, challenge-based learning, creative workshops, group work, experiential learning, discussion, problem-based learning, reflective learning, idea (mind) mapping, etc. are applied to encourage the active participation and creativity of students in the study process. The achievements are assessed using the traditional assessment methods, such as laboratory examination, assignments, laboratory or project report, as well as other methods: work or competency file (portfolio), problem-solving task, engineering project, reflection on action, self-assessment, etc. Methods of assessment of learning achievements: The applied cumulative assessment system of the learning outcomes ensures constant and involving work of students during the entire semester of studies; the final evaluation of the study module consists of the sum of the grades of intermediate assessments and the final assessment multiplied by the weighting coefficients (percentages of components). The number of intermediate assessments and their expression in percentage are chosen by the study module’s coordinating lecturer. Besides the usual forms of assessment (for example, examination, oral presentation, project report, laboratory examination), an additional form of assessment “Assessment of student activity (level)” may be applied (up to 10% of the final grade) for the assessment of the student’s preparation for case analysis, an active discussion, participation in debates, etc. Framework: Study subjects (modules), practical training:
Computer Vision Systems in Robotics, Information Technologies for Control Systems, Master’s Degree Final Project, Methodology of Scientific Research Work, Modern Environmental and Technology Management, Research Project 1, Research Project 2, Systems Modelling and Identification. Specialisations: - Optional courses: Distinctive features of a study programme: A graduate has knowledge of the control technologies of processes and systems, modern theory of automatic control and modern automation equipment, and is able to analyse and research control problems of systems and technological processes, as well as formulate and solve the tasks of the development of algorithms for modelling, optimisation and control. Access to professional activity or further study: Access to professional activity: The graduate can work in various industrial, transport, service enterprises and design organisations and carry out research, design, computerised control, implementation and other engineering work related to production and technological processes of automation systems. Access to further study: S/he has access to the third cycle studies
