Description of the field of study
Education in the field is provided to IT students, who – besides basic qualifications – want to specialise in: using, designing and programming digital automation systems, industrial networks and telematics systems, optimization and control systems based on microprocessors, neural networks, including deep neural networks, image recognition and processing methods.
These specializations cover a wide range of information technologies and their applications in automation, from systems dedicated to the acquisition of information and processing it into decisions to storing information in specialized databases and images.
This knowledge is implemented in: computerization, automation, cybersecurity in technological processes, monitoring production quality, designing intelligent layers in buildings, modelling and optimization of complex production and transport systems, network-based information exchange.
Specialisations
Specialisations are planned to be launched at the turn of 2022
Computer Control Systems
The studies include the methods and means of computer science necessary in designing digital control systems, solving optimization tasks and using artificial intelligence techniques in process control.
Students acquire skills related to: designing and implementing digital automation systems, telemetry and systems and remote service systems with a focus on aspects related to innovativeness and the business environment.
They additionally practice using modern automation technologies based on information exchange via computer networks, including digital distributed control systems, as well as ensuring and improving the multi-aspect security and reliability in computer control systems.
Information Technology Applications
The graduates of the specialisation are provided with knowledge and skills in the areas of: applying modern information technologies to IT systems in automation, with a focus on the issues of system design (programming platforms, embedded systems, object-oriented and distributed databases, parallel processing and programming of mobile systems), problems of training neural networks (including deep neural networks), using advanced methods of processing and machine learning in image recognition.
Students also learn about decision support systems and problems related to the management of IT resources. Students have the opportunity to attend classes and write their diploma theses in a unique laboratory for the monitoring and controlling of production quality with the help of vision systems using specialized software and a full spectrum of cameras, from infrared to ultraviolet.
Intelligent Systems in Industry 4.0
Education in this specialisation includes programming tools, methods and algorithms for management, decision support and control in Industry 4.0 – Smart Factories using: computer systems and networks, embedded, mobile and vision systems, neural networks, machine learning and vision, cooperating robots.
The student has an opportunity to learn about many innovative and advanced technologies and IT solutions used in modern industrial systems, including: industrial Internet of Things, cloud computing, cybersecurity, microservices.
Graduates are prepared to work as IT specialists responsible for operating production processes and as managers in manufacturing and logistic companies.
Applications of Computer Engineering
The most important intention when preparing the course catalogue for this specialisation was to train a specialist who would possess two types of competences: a high level of programming skills in the majority of the currently leading tools (C#/C++, Python, Java, Oracle/SQL, Matlab, microprocessor technology, FPGA systems, knowledge of methods used in mathematics and applied statistics, enabling data analysis and model building for the simulation and computerization of real processes.
The universal and interdisciplinary nature of this specialisation together with an emphasis placed on practical skills provide plenty of opportunities and freedom in the labour market. As a result, the student acquires general knowledge and skills in the field of information technology, including in the area of automation, such as: machine learning and vision, information processing, modelling, identification and simulation of industrial and IT systems, control and adaptive decision-making.
Graduates are ready to work in the industry, in IT companies such including in start-ups, they may run their own businesses, or they may be involved in research and research and development teams.
The graduate can
The graduate is prepared to work as an IT specialist and can: design and operate the IT layer in production processes, start work in the industry, be employed in IT companies such as start-ups, run their own business, work as a manager of IT systems in manufacturing plants and logistic companies, participate in research and research and development teams, become a C, C++, C#, Java, Python developer, tester, a leader in software development teams, or a PLC and DCS programmer, become a specialist in designing and training neural networks, classifiers and vision systems, as well as controlling technological processes and optimising the Industry 4.0 processes, manage a production quality monitoring team.
Enrolment conditions:
Required degree: Engineer or Engineer MSc.
Allowed fields of completed studies: Technical Computer Science, Telecommunications, Automation and Robotics, Cybersecurity, Algorithmic Computer Science, Applied Computer Science, Information and Communication Technology.