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Intelligent Robotics Systems
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Summary of the Profile
General Description:
Objective(s) of a study programme:
To provide basic knowledge of electronics engineering, automatic control, robot programming, modeling and control skills based on the application of artificial intelligence from navigation to computer vision, helping to analyze and evaluate the application of robots in the industrial and social spheres, model and design robotic systems.
Learning outcomes:
Knowledge and Understanding:
A1 Understands and has mastered the fundamental subjects in the field of technological sciences (mathematics, physics, mechanics, computer science, engineering graphics), which can be used to solve problems in electronics engineering;
A2 Has basic knowledge of social sciences (philosophy, economics, management, ethics of artificial intelligence) and is able to adapt it in order to solve electronics enginering problems;
A3 Has knowledge of electrical engineering basics (electrical circuits, electromechanics, electronics, control theory, materials, work safety) and is able to apply them in practice;
A4 Knows artificial intelligence methods and is able to apply them in robot control systems;
A5 Has knowledge of robotics and control tools and is able to use them to solve practical tasks;
A6 Knows and understands the scientific and mathematical principles, essential aspects and concepts in the field of robotics and cybernetic engineering, which are used for fundamental and applied research;
A7 Has knowledge of intelligent control systems, mobile and industrial robot control and programming;
A8 Understands the multidisciplinary engineering context: embedded systems programming, language recognition, human-machine interface and their application features.
Engineering Analysis:
B1 Is able to apply interdisciplinary knowledge and understanding to define, formulate and solve problems in robotics engineering;
B2 Is able to apply knowledge and understanding of robotics engineering in the analysis of robotics processes and methods and to prepare new solutions to the problem;
B3 Is able to select and apply suitable analytical and modeling methods, computer vision and navigation methods for robotics.
Engineering Design:
C1 Is able to apply engineering knowledge and understanding in the development and implementation of robotic systems projects;
C2 Understands design methodologies and is able to apply computer vision, navigation, computer intelligence and control systems.
Fundamental and Applied Research:
D1 Is able to search literature and use databases and other sources of information;
D2 Is able to perform technological experiments, evaluate data and present conclusions;
D3 Is able to work in workshops and laboratories and use standard robot control tools.
Skills of Practical Work in Solving Engineering Problems:
E1 Is able to select and apply appropriate equipment, tools and methods for robotics systems;
E2 Is able to combine theory and practice in solving engineering problems and design robotic system;
E3 Understands the applicability of techniques and methods and their limitations, is able to organize the safe operation of a robotic system;
E4 Ability to design and implement robotic control systems.
Personal and Social Skills:
F1 Is able to work effectively individually and as a member of a team;
F2 Able to communicate in a variety of ways with engineering community and general public;
F3 Knows health and safety problems and responsibilities related to engineering activities, the impact of engineering decisions on society and the environment, adhere to the norms of professional ethics and engineering activities, understands the responsibility for engineering activities;
F4 Knows project management and business aspects of industrial and mobile robots, understands the links between technological solutions and their economic consequences;
F5 Understands the importance of individual lifelong learning and acquires the necessary skills for that.
Activities of teaching and learning:
Case study; Collaborative learning; Work in groups; Debate; Discussion; Group (team project); Individual project; Consultancy seminars; Creative workshops; Lectures by visiting lecturers (practitioners); Modeling; Lecture; Experiential learning; Problem-based learning; Seminars; Simulations (simulation of real situations), Problem solving.
Methods of assessment of learning achievements:
Report; Final project and its defense; Portfolio of works or competencies; Examination in the commission; Computer exam; Written exam; Oral and written examination; Individual work; Engineering project; Colloquium; Control work; Description of laboratory work (report); Practice report; Problem solving; Project report; Abstracts; Midterm exam; Technological project; Test; Solving the task (s); Verbal illustrated presentation.
Framework:
Study subjects (modules), practical training:
Electives of Philosophy and Sustainable Development 2020; Foreign Language Electives (Level C1) 2020; Engineering Graphics; Introduction to Programming for Engineers; Engineering Mechanics; Computer Drawing; Engineering Materials; Analysis of Electric Circuits 1; Analysis of Electric Circuits 2; Electromechanics; Work Safety; Mathematics 1; Mathematics 2; Physics 1; Physics 2;
Theory of Probability and Statistics; Ethics of Artificial Intelligence; Engineering Economics; Electives of Entrepreneurship Education 2020; Introduction to Control Technologies; Software for Engineering Calculations; Kinematics, Statics and Dynamics of Robots; Fundamentals of Digital and Microprocessor Systems; Applied Electronics; Intelligent Automation Systems and Devices; Electric Drives; Automatic Control Theory; Programmable Logical Controllers; Computational Intelligence Methods; Image Processing and Recognition; Analysis and Reliability of Technical Systems; Fundamentals of Intelligent Control Systems; Control Systems and Programing of Robots; Modeling of Robotized Systems; Mobile Robots; Speech Processing Fundamentals; Project of Robotic System; Group of Electives; Students have Professional Practice of 15 credits; Students are able to choose additional practice; Final Degree Project; Students are studying 38 subjects.
Specialisations:
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Optional courses:
Optional Subject 2020: in 6th semester students are able to choose 1 subject of 6 credits.
Distinctive features of a study programme:
A graduate has knowledge of electrotechnics, electromechanics, electronics, automatic control, programming of robots, modelling and control of robotic systems, image processing and recognition, computational intelligence methods, is able to analyse and evaluate the potential application of robotics, choose the hardware and software for robots, model and design robotic systems and orientation systems of robots, solve the problems of industrial and social application of robots.
Access to professional activity or further study:
Access to professional activity:
The graduate can work at the organisations of design, installation and maintenance of robotic systems, the companies applying robotic systems or developing and producing the control systems of robots or other devices.
Access to further study:
S/he has access to the second cycle studies.
