Automatic Control and Robotics (AIRS2S)

possess university diploma (first or second degree studies), positive result of the enrolment procedure

possess university diploma (first or second degree studies), positive result of the enrolment procedure

educational standards in accordance with the directive of the Minister of National Education and Sport dated 18 April 2002 concerning the description of educational standards for particular study courses and education levels (Dziennik Ustaw, No. 116, item 1004) including further amendments in accordance with the directive of the Minister of National Education and Sport dated 3 November 2003 (Dz.U.Nr 210 poz. 2040). The standards define general course requirements including the number of teaching hours, graduate's profile, curricula for individual courses including subjects of general, core and specialist education as well as requirements and recommendations concerning internship.

educational standards in accordance with the directive of the Minister of Science and Higher Education, dated July 12, 2007 concerning the description of educational standards for particular study courses and education levels as well as procedures for establishment and the condiontions to be met by the university to conduct both interdisciplinary and conbined studies courses (Dz. U. No 164, item. 1166 incl. later amendments). The standards define general course requirements including the number of teaching hours, graduate`s profile, curricula for individual courses including subjects of general, core and specialist education as well as requirements and recommendations concerning internship.

Resolution No. 23/53/2012 of the Senate of Bialystok University of Technology of 28 June 2012 on determining learning outcomes for second cycle courses in the field of Automatic Control and Robotics at Bialystok University of Technology

Reference of learning outcomes for the field of study to learning outcomes for the area of study

Symbol - Learning outcomes for the field of study - Reference to learning outcomes for the area of study

Meaning of symbols:
K (before underscores) – learning outcomes for the field of study
W – category of knowledge
U – category of skills
K (after underscores) – category of social competence
T2A – learning outcomes in the educational area of technical sciences for second cycle courses
01, 02, 03 and subsequent numbers – number of the learning outcome

KNOWLEDGE
K_W01 - have an extended and in-depth knowledge of mathematical analysis, in particular of the integral calculus of multivariable functions - T2A_W01
K_W02 - have a basic knowledge of the calculus of variations - T2A_W01
K_W03 - have an in-depth and extended knowledge of physics, including mechanics, machine building, thermodynamics, optics, electricity and magnetism, nuclear physics and solid-state physics, including the knowledge necessary for understanding the physical phenomena occurring in components and subsystems of control and robotic systems as well as the knowledge required for designing and implementing control and robotic subsystems for the industry and service sectors - T2A_W01, T2A_W03, T2A_W04
K_W04 - have an extended knowledge of grammar structures and vocabulary (including technical vocabulary) of the English language, allowing them to read and write texts and give oral presentations - T2A_W01
K_W05 - have an advanced knowledge of programming languages and database structures, including the knowledge required for operating and programming control and robotic systems for the industry and service sectors, as well as the knowledge required for designing decision support systems - T2A_W03, T2A_W07
K_W06 - have an extensive knowledge of computer systems and network architectures as well as the knowledge of operating systems, necessary for installing, servicing, and maintaining IT (information technology) tools required for designing and simulating technical systems, subsystems, and components - T2A_W02, T2A_W07
K_W07 - have a systematised and theoretically-grounded knowledge of load forces and balance equations in two- and three-dimensional mechanical systems; graduates also know the methods for stress determination in different load states (such as tension, compression, bending, torsion, and pressure), including the knowledge necessary for performing strength analyses in modelling and design - T2A_W03, T2A_W07
K_W08 - have a systematised and extended knowledge of fluid mechanics, and understand flow phenomena in machines and devices used in control systems and robotics - T2A_W02, T2A_W03
K_W09 - have an extended and systematised knowledge of the signal processing theory (of continuous and discrete signals) as well as of signal processing, representation, and transmission methods - T2A_W02, T2A_W04
K_W10 - have an extended and in-depth knowledge of the description of static and dynamic properties of control systems and their components, different structures of control systems, and the analysis of dynamic systems in the time and frequency domains; graduates know design and testing methods of control systems in the time and frequency domains as well as know and understand PID (proportional-integral-derivative) controller tuning methods - T2A_W02, T2A_W04, T2A_W07
K_W11 - know and understand advanced methods of linear and non-linear system analysis (stability, static accuracy, and dynamic system performance analysis); graduates also have an extended knowledge of logic control systems, in particular of creating, minimising and implementing logic control functions - T2A_W02, T2A_W04
K_W12 - have a wide and systematised knowledge of robot kinematics and dynamics, as well as robot programming languages; graduates also have the knowledge necessary for designing robots and their components (in particular, through motion control as well as position and force control of robots) - T2A_W02, T2A_W03
K_W13 - have an extensive and in-depth knowledge of electric drives, microprocessor engineering, and A/D and D/A converters, including the knowledge necessary for designing digital and microprocessor systems - T2A_W02, T2A_W04
K_W14 - know and understand continuous-time process control methods, including state space equations, pole placement methods, state observers, multilayer control methods, and model predictive control methods - T2A_W02, T2A_W07
K_W15 - know and understand discrete-time process control methods, including event-driven algorithms, sequential control methods, scheduling techniques, queueing networks, optimisation models, optimisation algorithms, and management and hierarchical control systems - T2A_W02,
T2A_W07
K_W16 - know and understand real-time control systems, in particular have a broad knowledge concerning the design, operation and implementation of industrial networks, real-time operating systems, and distributed control systems - T2A_W02, T2A_W04, T2A_W07
K_W17 - have a systematised and extended knowledge of decision support systems, decision-making modelling, representation of uncertainties, and multicriteria analysis - T2A_W03, T2A_W04
K_W18 - know and understand optimisation methods, including linear programming, nonlinear local optimisation, discrete optimisation, mixed optimisation, branch and bound optimisation, global optimisation, and evolutionary algorithm optimisation methods; graduates know and understand optimisation conditions - T2A_W02, T2A_W07
K_W19 - have an extended and systematised knowledge of modelling and identification, including the knowledge of control objects, models and uncertainties, model structures, modelling errors, the least squares method, linear models, recursive methods, dynamic and adaptive models, nonlinear modelling, fuzzy control systems, and artificial neural networks - T2A_W02, T2A_W04
K_W20 - have an in-depth and systematised knowledge of the control theory; in particular, graduates know and understand stability criteria, optimal control principles, stability analysis of linear and non-linear control systems, dynamic and mathematical programming, state observers, transformations of control objects, and methods of describing control objects - T2A_W02, T2A_W04
K_W21 - have a basic knowledge of digital and microprocessor engineering; graduates define and characterise peripheral devices of microprocessor systems - T2A_W02, T2A_W04
K_W22 - have a basic knowledge of real-time operating systems, and also define the properties and principles of operation of real-time systems on the example of FreeRTOS - T2A_W02, T2A_W04
K_W23 - know and understand advanced design methods of components of control and robotic systems as well as analogue and digital control and robotic systems - T2A_W03, T2A_W04
K_W24 - have an extended knowledge of motion modelling and control of autonomous robots/unmanned vehicles (including micro aerial vehicles), and understand the physical foundations of the low speed aerodynamics, applying aerodynamic coefficients and derivatives - T2A_W02, T2A_W03, T2A_W04
K_W25 - have a wide knowledge of development trends and the most important new achievements in automation and robotics - T2A_W05
K_W26 - have a wide knowledge of the life cycle of control and robotic systems and components - T2A_W06
K_W27 - have the knowledge necessary to understand non-technical aspects in engineering activities; graduates know the basic principles of occupational safety and health regulations in engineering practice - T2A_W08
K_W28 - know and understand the notions and principles of the protection of intellectual and industrial property, copyright and patent law - T2A_W10
K_W29 - have an elementary knowledge of management, including quality management, and of conducting business activity - T2A_W09
K_W30 - know general principles of creating and developing different forms of individual entrepreneurship, applying the knowledge connected with their course of study in the field of Automatic control and robotics - T2A_W11

SKILLS
K_U01 - can acquire information from literature, databases, and other sources as well as integrate, interpret, and critically evaluate the acquired information; graduates can also draw conclusions as well as formulate and comprehensively justify their opinions - T2A_U01
K_U02 - can work individually and in groups; graduates can evaluate the amount of time required to complete a task; they can manage small teams in a way ensuring that deadlines are met - T2A_U02, T2A_U03
K_U03 - can develop detailed documentation of experiment, design or research task results; graduates can prepare overviews of these results - T2A_U04
K_U04 - can prepare and give presentations on the results of the implementation of design or research tasks and also lead discussions concerning these presentations - T2A_U04
K_U05 - have a command of the English language at a level which is sufficient for communication, including communication on professional issues, and for reading and understanding professional literature as well as for preparing and giving short presentations on the implementation of design or research tasks - T2A_U04
K_U06 - can make use of the mathematical methods and models they have studied, modifying them appropriately if necessary, for analysing and designing components, subsystems and systems in automatic control and robotics - T2A_U08, T2A_U15, T2A_U17
K_U07 - can solve problems formulated in the form of algebraic descriptions, apply the mathematical description to continuous and discrete dynamic processes, describe the uncertainty, and use numerical procedures - T2A_U08, T2A_U15
K_U08 - can apply principles of physics to solve problems, perform measurements of the basic physical quantities, and solve problems pertaining to technology, based on physical laws - T2A_U01, T2A_U06
K_U09 - can make use of object-oriented and procedural programming techniques, applying operating systems; graduates can also use computer networks, databases, and Artificial Intelligence methods - T2A_U07
K_U10 - can conduct static analysis of beams, trusses, and frames, formulate and solve equations of equilibrium, determine stresses in machine parts, and analyse tension and strength in machine parts - T2A_U08, T2A_U10
K_U11 - can formulate mathematical descriptions of phenomena connected with laminar and turbulent flow of fluids (for the purposes of modelling and designing components of robotics and automatic control, including performing analyses and solving technical issues concerning the flow of fluids) - T2A_U08, T2A_U10
K_U12 - can analyse continuous- and discrete-time signals for the purposes of system automation, describe linear systems, analyse signal transmission through linear systems, and implement signal processing - T2A_U14, T2A_U15
K_U13 - can provide mathematical descriptions for automatic control components and systems with regard to time and frequency, determine the static and dynamic properties (static, dynamic, and frequency characteristics), and examine the stability of automatic control systems - T2A_U09, T2A_U10, T2A_U13
K_U14 - can design regulation and control systems, making use of the various control laws and taking into account the functional and economic conditions; in particular, graduates can select devices for automatic control systems and tune PID controllers - T2A_U12, T2A_U18, T2A_U19
K_U15 - can configure and design robotic systems (including robots and manipulators) assembled from standard sub-assemblies, and also program robot control systems; in particular, graduates can implement sophisticated control algorithms in digital controllers, as well as conduct simulation and experimental tests concerning robot performance - T2A_U12, T2A_U16, T2A_U18, T2A_U19
K_U16 - can design digital and microprocessor electronic systems and also perform analysis and synthesis of digital and microprocessor systems, including electronic control systems and A/D and D/A converters - T2A_U18
K_U17 - can solve technical problems requiring an advanced knowledge of mechanics and strength of materials, including conducting strength analyses of machine parts; graduates can also select components and materials, design and construct components and devices, as well as carry out economic analyses of the constructed devices - T2A_U14, T2A_U15, T2A_U18
K_U18 - can design continuous and discrete control systems, in particular output or state variable feedback systems, design model predictive control systems, and test other solutions for control systems applied in industry - T2A_U11, T2A_U12
K_U19 - can design, implement, and integrate distributed real-time control systems in programmable controllers, applying information technologies, as well as perform computer simulations and experiments - T2A_U07, T2A_U08
K_U20 - can model decision systems in automatic control systems and analyse them; graduates can use computer-aided decision systems - T2A_U07, T2A_U10
K_U21 - can program programmable logic controllers for specific processes and for industrial networks - T2A_U14, T2A_U15
K_U22 - can design, program, and start up industrial networks based on digital controllers and peripheral devices (for different branches of industry) - T2A_U10, T2A_U12, T2A_U18
K_U23 - can suggest and improve complex solutions concerning devices and systems used in automatic control and robotics, in particular control systems and components of control loops - T2A_U17, T2A_U18, T2A_U19
K_U24 - can implement optimisation algorithms in continuous and discrete tasks, implement evolutionary algorithms, and also use procedures of optimal process and system control in automatic control and robotics - T2A_U17, T2A_U18
K_U25 - can identify control objects and systems, also using state observers and parameter estimators; graduates can model and test linear and nonlinear objects and predict signals on the basis of models - T2A_U11, T2A_U17
K_U26 - can solve problems in linear, nonlinear, and optimal control; in particular, graduates can apply optimisation criteria, design control systems (using various methods and technologies), analyse control systems, and conduct simulation tests - T2A_U08, T2A_U09
K_U27 - can design and independently develop connection diagrams of digital and analogue devices - T2A_U14, T2A_U15
K_U28 - can develop codes for programmes controlling digital controllers (including microcontrollers), applying different programming languages (assembler, C); graduates can also read, understand, and describe programme codes - T2A_U14, T2A_U15
K_U29 - can test the performance of microcontroller controlling codes and independently solve problems that might occur - T2A_U14, T2A_U15
K_U30 - can interpret information about new technical solutions and their possible application in automatic control and robotic systems; among others, graduates can follow development trends and new achievements in automation and robotics - T2A_U01, T2A_U07, T2A_U15
K_U31 - can formulate and model dynamic motion equations of robots/autonomous devices (including aerial vehicles/micro aerial vehicles); in addition, graduates can solve simulation models, and also identify and interpret flight characteristics (including aerodynamic stability derivatives) - T2A_U14, T2A_U15
K_U32 - can determine the directions of their self-education process and interpret information about technical solutions connected with designing components and devices in automatic control and robotics - T2A_U05,
T2A_U07
K_U33 - can make use of datasheets, technical manuals, and application notes in order to select appropriate components for the designed control systems - T2A_U01, T2A_U16
K_U34 - can construct, start up, and test the designed control subsystems or simple control systems - T2A_U16
K_U35 - can integrate their knowledge concerning the field of automatic control and robotics while formulating and solving problems involving the design of automatic control/robotic components, subsystems, and systems; graduates take into account non-technical aspects (including environmental, economic, and legal ones) of these problems - T2A_U10, T2A_U14, T2A_U15
K_U36 - can apply and comply with occupational safety and health protection principles; graduates can predict and prevent risks resulting from working with automatic control and robotic systems - T2A_U11
K_U37 - can critically evaluate the relevance of standard methods and tools used for solving simple engineering problems typical of automatic control and robotics, and also select and apply appropriate methods and tools - T2A_U15
K_U38 - can prepare oral and written presentations in Polish or English (including multimedia presentations) concerning problems in automatic control and robotics - T2A_U04, T2A_U06

SOCIAL COMPETENCE
K_K01 - understand the need and know the possibilities of further education (third cycle courses, postgraduate courses, training courses), thus improving their professional, personal, and social competence - T2A_K01
K_K02 - understand and realise the importance of non-technical aspects and results of professional activities of control systems engineers, including the influence of these activities on the environment, and the responsibility for decisions pertaining to the activities - T2A_K02
K_K03 - realise the importance of behaving in a professional way, adhering to the principles of professional ethics, and respecting the diversity of opinions and cultures - T2A_K05
K_K04 - can work in groups; graduates are aware of responsibility for their own work; they are prepared to obey the rules of working in a team and to take responsibility for tasks implemented together with other people - T2A_K03, T2A_K04
K_K05 - can think and act in a creative and resourceful way, applying their experience and the acquired knowledge - T2A_K06
K_K06 - can clearly express and justify their opinions concerning different aspects of engineering activities, in particular the activities connected with automation and robotisation of industrial devices and systems - T2A_K07
K_K07 - are aware of the social role of graduates of technical universities, understand the need to inform the society (using the mass media or other sources) about information and opinions concerning achievements in automatic control and robotics and other aspects of activities of control systems engineers; graduates endeavour to provide such information and opinions in a commonly understandable way - T2A_K07

None

Resolution No. 479/XXVI/XV/2019 of the Senate of Bialystok University of Technology of 26 September 2019 on determining the curricula for fields of study starting from the academic year 2019/2020 taught at Bialystok University of Technology

Symbol - Learning outcomes for the second-cycle studies in Automatic Control and Robotics, academic orientation. After having completed the second-cycle course in the field of Automatic Control and Robotics, the graduate - Reference to the first stage generic descriptors defined in the Act of 22 December 2015 on the Integrated Qualifications System and the second stage descriptors defined in the regulations issued on the basis of Article 7(3) of the PQF Act at level seven - Reference to engineering competence included in the second stage descriptors defined in the regulations issued by virtue of Article 7(3) of the Act of 22 December 2015 on the Integrated Qualifications System PQF at level seven

KNOWLEDGE: The graduate knows and understands:
AR2_W01 - in a deepened degree mathematical and physical theories, methods and models, and relationships between them in automatic control and robotics systems - P7S_WG, P7U_W - P7S_WG
AR2_W02 - in a deepened degree processes occurring in the life cycle of devices, facilities and technical systems in the field of automatic control and robotics - P7S_WG, P7U_W - P7S_WG
AR2_W03 - in a deepened degree selected facts, objects and phenomena and their methods and theories explaining the complex relationships between them in automatic control and robotics systems - P7S_WG, P7U_W - P7S_WG
AR2_W04 - in a deepened degree principles of designing automatic control and robotics systems as well as supporting engineering tools and computer methods - P7S_WG, P7U_W - P7S_WG
AR2_W05 - in a deepened degree theories, methods and engineering tools necessary to manage the operation of automatic control and robotics systems - P7S_WG, P7U_W - P7S_WG
AR2_W06 - in a deepened degree principles of conducting research, experiments and simulations, analysis, interpretation and presentation of the results obtained - P7S_WG, P7U_W - P7S_WG
AR2_W07 - latest development trends in the field of automatic control and robotics - P7S_WG, P7U_W - P7S_WG
AR2_W08 - economic, legal, ethical, civilization and other conditions of various types of activities related to automatic control and robotics - P7S_WK, P7U_W
AR2_W09 - principles of protection of industrial property and copyright - P7S_WK, P7U_W
AR2_W10 - rules for creating and developing forms of individual entrepreneurship - P7S_WK, P7U_W - P7S_WK

SKILLS: The graduate is able to:
AR2_U01 - use knowledge from various fields of science to formulate and solve complex, unusual problems, and innovatively perform and at least partially implement in practice the tasks appropriate for automatic control and robotics - P7S_UW, P7U_U - P7S_UW
AR2_U02 - properly choose sources and information derived from them, make their assessment, critical analysis and synthesis, and creative interpretation and presentation of this information in the field of automatic control and robotics - P7S_UW, P7U_U - P7S_UW
AR2_U03 - select and use advanced methods and tools, including information and communication techniques in automatic control and robotics systems - P7S_UW, P7U_U - P7S_UW
AR2_U04 - plan and perform research, experience or observations on cognitive issues in the field of automatic control and robotics - P7S_UW, P7U_U - P7S_UW
AR2_U05 - critically evaluate the results of research, experiments, computer simulations, observations and theoretical calculations, as well as discuss measurement errors and the possibilities of optimizing the procedures used in automatic control and robotics systems - P7S_UW, P7U_U - P7S_UW
AR2_U06 - apply the acquired knowledge in the field of automatic control and robotics to solve problems related to similar scientific disciplines - P7S_UW, P7U_U - P7S_UW
AR2_U07 - make an economic assessment of the proposed technical solutions, notice their systemic and non-technical aspects in automatic control and robotics systems - P7S_UW, P7U_U
AR2_U08 - communicate on specialist topics specific to automatic control and robotics engineer with diverse recipients, and lead the debate - P7S_UK, P7U_U
AR2_U09 - use a foreign language at least B2+ level of the European System of Language Description in the area of specialist terminology, for the free use of professional literature, as well as the preparation and presentation of presentations on the implementation of a project or research task - P7S_UK, P7U_U
AR2_U10 - manage the team's work, plan and implement lifelong learning and guide others in this area - P7S_UO, P7S_UU, P7U_U

SOCIAL COMPETENCE: The graduate is ready to:
AR2_K01 - analyze on its merits the received content and for its critical evaluation - P7S_KK, P7U_K
AR2_K02 - use expert opinions and recognize the importance of knowledge in the field of technical sciences and humanities, economics and social sciences necessary in solving cognitive and practical problems - P7S_KK, P7U_K
AR2_K03 - meet social needs, undertake and coordinate initiatives for the social environment - P7S_KO, P7U_K
AR2_K04 - act for the public interest - P7S_KO, P7U_K
AR2_K05 - think and act in an entrepreneurial way in the field of professional roles - P7S_KO, P7U_K
AR2_K06 - responsibly fulfill professional duties, continuously train in issues related to the nature of professional roles - P7S_KR, P7U_K
AR2_K07 - comply with the rules of professional ethics and take steps to comply with these principles by subordinate personnel - P7S_KR, P7U_K

Meaning of symbols:
AR2 – learning outcomes in the second-cycle studies for the field of Automatic Control and Robotics
W – category of knowledge
U – category of skills
K – category of social competence
01, 02, 03... - number of the learning outcome
Meaning of symbols in compliance with the Polish Qualifications Framework (Act of 22 December 2015 on the Integrated Qualifications System):
P - PQF level
U - universal descriptor
K - social competence
P7U_W – PQF level 7, universal descriptor, knowledge
P7U_U – PQF level 7, universal descriptor, skills
P7U_K – PQF level 7, universal descriptor, social competence
P7S – learning outcomes for second-cycle studies according to the Polish Qualifications Framework (qualifications obtained within the second stage descriptors typical for higher education and science) – level 7, general academic orientation;
W – knowledge (the graduate knows and understands): P7S_WG – depth and scope / completeness of the cognitive perspective and relationships, P7S_WK – context / determinants, implications;
U – skills (the graduate can): P7S_UW – using knowledge / problem-solving and performing tasks; P7S_UK – communication / hearing others and making comments, disseminating knowledge in the scientific community, and using a foreign language; P7S_UO – organising work / planning and teamwork; P7S_UU – learning / planning your own development and directing others in this area;
K – social competence (the graduate is ready to): P7S_KK – evaluation / critical approach, P7S_KO – responsibility / fulfilling one's social obligations and initiating activities on behalf of the public interest, P7S_KR – professional role / being independent and developing the professional ethos;