Wydział Elektryczny PB

Course description cards, summer 2020/2021

COURSE DESCRIPTION CARD
Faculty of Electrical Engineering
Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
Specialization/ diploma path Study profile
Course Name Final Project Course code IS-FEE-10022S
Course type elective
Forms and number of hours of tuition L C LC P SW FW S Semester summer
300 No. of ECTS credits 12
Entry requirements 5/6 semesters of engineer level in appropriate area
Course objectives Familiriazing student with the methodology of solving engineer problems. Deepening skills of appropriate choice and use of literature references and the skill of use of scientific and technical data bases. Training the ability of analyzing the literature to identify the possible solutions of the problem stated in the engineer project. Obtaining the skill of formulating the engineer problem and the choice of the methodology and tools to solve it (including calculation tools and computer programmes). Achieving the skill of preparing plan and schedule of the process of the engineer task realization. Improving skill of preparing the report of the engineer task realization. Creating the skill of the design assumptions’ verification, concluding and evaluation of achieved results.
Course content Knowledge and skills connected with the subject of the project – acquisition of information from the literature. Characterization of the possible solutions of the problem stated in the engineer project derived from the current state of knowledge. Knowledge of the development trends within the chosen area allowing to choose the solution of the problem. Planning the realization of the engineer problem. Using computer tools and techniques in order to realize or support the solution of the task. Verification of the solution by means of the methods and tools of theoretical and experimental analysis. Methodology of characterization and analyzing the engineer task and forming the conclusions. Development of the results and the documentation of executed tasks.
Teaching methods discussion, consultations
Assesment methods evaluation of the final project by the tutor and evaluator, evaluation of the defence of the final project
Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
LO1 collects knowledge from the literature and evaluates the applicability to solve chosen technical problem;
LO2 indyvidually plans the solution of the engineer problem, specifying the method and the execution time;
LO3 implements engineering task and prepares the development containing documentation and verification of the results;
LO4 formulates objectives for the various stages of solving engineering tasks, suggesting methods of implementation and verification of a solution;
LO5 can design a measurement system implementing engineering design or research task;
LO6 can evaluate relevance and use appropriate methods and tools used to achieve engineering tasks;
LO7 has the ability and understands the need to improve his/hers qualifications in order to enhance and update expertise technical knowledge.
Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
LO1 positive evaluation of engineering work and the result of defense
LO2 positive evaluation of engineering work and the result of defense
LO3 positive evaluation of engineering work and the result of defense
LO4 positive evaluation of engineering work and the result of defense
LO5 positive evaluation of engineering work and the result of defense
LO6 positive evaluation of engineering work and the result of defense
LO7 positive evaluation of engineering work and the result of defense
Student workload (in hours) No. of hours
Calculation self work on the subject, consultations, discussions with the supervisor 300
TOTAL: 300
Quantitative indicators HOURS No. of ECTS credits
Student workload – activities that require direct teacher participation 15 0.5
Quantitative indicators 300 12
Basic references
    Supplementary references
      Organisational unit conducting the course Faculty of Electrical Engineering Date of issuing the programme
      Author of the programme teachers of the Faculty of Electrical Engineering 15.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Automotive Lighting Course code IS-FEE-10023S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 15 No. of ECTS credits 4
      Entry requirements
      Course objectives To familiarize students with automotive lighting. Presentation of design methods of lighting equipment in automotive lighting. Classification and investigation of light fittings used in automotive lighting. Presentation of methods of luminous flux emmision verification in automotive lighting. Examination of the characteristics of road lighting and horizontal and vertical marking.
      Course content Automotive lighting. Light sources for automotive lighting equipment. Automotive lighting control systems. Headlamps and signal lamps design methods. Photometric measurements of automobile fittings. Construction of daytime running lamps, road lamps, signal lamps and others. Adaptive systems in automotive lighting.
      Teaching methods laboratory experiments, consultations, lecture, self-work, discussion
      Assesment methods written exam (lecture), verification of preparation for classes, evaluation of the reports (laboratory class)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 lists and distinguishes appropriate lighting equipment used in automotive engineering;
      LO2 describes the design principles of automobile lamps;
      LO3 measures required illumination distributions caused by automobile lamps;
      LO4 selects components and light sources for automobile lamps properly;
      LO5 classifies and explains control methods in automotive lighting.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 exam, duscussion during laboratory classes L, LC
      LO2 exam L
      LO3 evaluation of the report on exercise, discussion during the laboratory classes LC
      LO4 exam, duscussion during laboratory classes L, LC
      LO5 exam, duscussion during laboratory classes L, LC
      LO6
      Student workload (in hours) No. of hours
      Calculation attending the lecture 15
      participation in the laboratory classes 15
      preparation for the laboratory classes 20
      preparation of laboratory reports or doing homework assignments (homework) 20
      participation in consultations 10
      preparation to the exam 30
      TOTAL: 110
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 35 1.5
      Quantitative indicators 35 1.5
      Basic references
      1. Wordenweber B., Wallaschek J., Boyce P., Hoffman D.: Automotive lighting and human vision, Springer, 2007.
      2. Bauer H.: Automotive handbook, Bosch, 2000.
      Supplementary references
      1. E/ECE/TRANS/505, addendum 36, regulation no. 37, rev. 5: Uniform provisions concerning the approval of filament lamps for use in approved lamp units on power; Driven vehicles and of their trailers.
      2. E/ECE/TRANS/505, addendum 3, regulation no. 4, rev. 2: Uniform provisions for the approval of devices for the illumination of rear registration plates of motor vehicles (except motor cycles) and their trailers.
      3. E/ECE/TRANS/505, addendum 48, regulation no. 48, rev. 6: Uniform provisions concerning the approval of vehicles with regard to the installation of lighting and light; Signalling devices.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Maciej Zajkowski, Ph.D. Eng. Urszula Blaszczak, Lukasz Budzynski 30.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Control Engineering and Systems Course code IS-FEE-10024S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 6
      Entry requirements Fundamentals of Control Engineering
      Course objectives This course extends the students’ knowledge of state space approach to analyze and synthesis of control systems. Workshops will learn how to design and simulate considered systems in specialized software.
      Course content Description of multivariable dynamical systems in state space and by the use of transfer matrix. Controlability and observability of linear systems, Kalman decomposition. Modal control, observer synthesis, use of observer to modal control. Linear matrix inequalities. Computer aided design and simulations of control systems.
      Teaching methods lecture, specialized workshops
      Assesment methods written exam (lecture), evaluation of reports (workshops)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 express a dynamical system in state-space form;
      LO2 classify models of multivariable dynamical systems;
      LO3 desribe procedure of synthesis of modal control and state observer;
      LO4 use an observer to estimate a state of dynamical system;
      LO5 use specialized software to design and analyze of control systems.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 exam, evaluation of reports L, SW
      LO2 tests on lecture content L
      LO3 tests on lecture content L
      LO4 exam, evaluation of reports L, SW
      LO5 evaluation of reports SW
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      individual work on lecture topics 30
      preparation for and participation in exam 45
      participation in workshops 30
      work on reports 30
      TOTAL: 165
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 60 2
      Quantitative indicators 105 4
      Basic references
      1. Norman N. S.: Control systems engineering 5th ed., John Wiley a. Sons, Hoboken 2008.
      2. Friedland B.: Control System Design: An Introduction to State-Space Methods, Dover Publ. Inc. 2005.
      3. Williams II R. L., Lawrence D. A.: Linear State-Space Control Systems, John Wiley a. Sons, New Jersey 2007.
      4. Kaczorek T.: Linear Control Systems, vol. 1 and 2, Research Studies Press, 1993.
      5. Doyle J.C., Francis B.A., Tannenbaum A.R.: Feedback Control Theory, Macmillan, 1992.
      Supplementary references
      1. Kaczorek T.: Polynomial and Rational Matrices: Applications in Dynamical Systems Theory , Springer-Verlag, 2006.
      2. Rogowski K.: Presentations for lecture (on-line available).
      Organisational unit conducting the course Department of Automatics and Robotics Date of issuing the programme
      Author of the programme Krzysztof Rogowski 31-03-2016

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Control of Electrical Drives 2 Course code IS-FEE-10025S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 15 No. of ECTS credits 5
      Entry requirements
      Course objectives Introduction into servo drives, brushless DC motor drives and stepping motor drives. Transfer of knowledge about the aims and the features of Field Oriented Control of electrical drives with permanent magnets synchronous motor and asynchronous motor. Acquiring experience by students in the configuration, maintenance and operation of automatically controlled electrical drives.
      Course content Lecture: overview of electric drive systems. Current, speed and position sensors (current transducers, encoders, resolvers, etc.). Control of DC motors in the field-weakening region. Scalar and Field Oriented Control (FOC) of AC of induction motors/generators. Park and Clarke transformations. The vector control of synchronous motors/generators supplied by power converter. The mathematical models of electrical motors and of DC and AC power converters. Servo drive systems. Control methods of stepping motor. Examples of the use of microprocessor control systems in electric drives. Laboratory classes: experimental exercises with automatically controlled electrical drives. Investigation into four quadrant electrical and mechanical energy conversion in electric drive with DTC-SVM, induction motor and induction generator. Investigation into position control system containing Field Oriented Control of induction motor. Investigation into speed control system of DC motor in field weakening region.
      Teaching methods lecture, laboratory classes
      Assesment methods test (lecture), evaluation of the exercise reports (laboratory classes)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 analyzes structure of a simple servo drive;
      LO2 conducts basic research of current, speed and position control subsystems;
      LO3 performs basic configuration and operation of automatically controlled drives;
      LO4 interprets the results from basic laboratory investigation of electrical drives.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 oral exam on lecture content L
      LO2 assessment of the drive operation, evaluating the student’s reports LC
      LO3 assessment of the drive operation, evaluating the student’s reports LC
      LO4 assessment of the drive operation, evaluating the student’s reports LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in laboratory classes 15
      preparation for lab classes 30
      preparation for and participation in exams/tests 20
      work on laboratory classes reports 30
      TOTAL: 125
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 45 1.5
      Quantitative indicators 75 3
      Basic references
      1. Boldea I., Nasar S.A.: Electric Drives, 2nd Edition, Taylor and Francis Group, Boca Raton, 2006.
      2. Weidauer J.: Electrical drives: principles, planning, applications, solutions, Erlangen: Publicis Publishing, 2014.
      3. Seung-Ki S.: Control of Electric Machine Drive Systems, IEEE Press, A John Willey & Sons Inc., USA, 2011.
      4. Alahakoon S.: Digital Control Techniques for Sensorless Electrical Drives, VDM Verlag Dr Muller, Germany, 2009.
      5. Wilamowski B. M., Irwin J. D.: Control and Mechatronics, Taylor & Francis, USA, 2011.
      Supplementary references
      1. Krause P., Wasynczuk O., Sudhoff S.: Analysis of Electric Machinery and Drive Systems, Willey-Interscience, USA, 2002.
      2. Vukosavic S. N.: Digital Control of Electric Drives, Springer, 2007.
      3. Bin W., Yonpqiang L., Zargari N., Kouro S.: Power conversion and control of wind energy systems, IEEE Press, A John Willey & Sons, Canada 2011.
      4. Veltman A., Pulle Duco W. J., Doncker R. W. D.: Fundamentals of Electrical Drives, Springer, Netherlands, 2007.
      5. Wilamowski B., Irwin J. D.: Power electronics and motor drives, Boca Raton, CRC/Taylor & Francis, 2011.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Andrzej Andrzejewski, PhD Eng. 30.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Digital Signal Processing Course code IS-FEE-10026S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 6
      Entry requirements
      Course objectives The aim of the course is to acquaint the students with the basics of the digital signal processing. Student is familiar and can apply methods of signal analysis in time and frequency domains. Student is able to use methods of digital filter design and is familiar with issues of digital filter analysis and implementation.
      Course content Lecture: Areas of application of digital signal processing methods. Signal classification. Sampling of continuous time signals: the sampling theorem, anti-aliasing filter, quantization, practical aspects of A/D and D/A conversion, digital resampling. Properties and application of the Discrete Fourier Transform; Fast Fourier Transform algorithms; analysis of nonstationary signals. Z-transform: properties and application. Description methods of discrete time signals and systems: difference equation, impulse response, Z-transform, transfer function, frequency response, state space representation. Overview of digital filter analysis, synthesis and application: infinite impulse response filters, finite impulse response filters, commonly used filters, time and frequency domain parameters, windowing, linear phase filters. Stability. Linear and circular convolution. DSP implementation issues.
      Teaching methods lecture, problem solving, laboratory experiments
      Assesment methods lecture: written exam
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 student is familiar with issues of sampling of continuous time signals and analysis of discrete-time signals;
      LO2 student knows description methods of digital systems and can describe methods of digital filters synthesis and analysis;
      LO3 student performs sampling of continuous time signals and performs spectral analysis;
      LO4 student performs design process of the basic digital filters and performs properties verification of their implementation.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 exam L
      LO2 exam L
      LO3 evaluation of student’s reports and performance in classes LC
      LO4 evaluation of student’s reports and performance in classes LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      preparation for and participation in exams 35
      participation in laboratory classes 30
      preparation for laboratory classes 20
      work on reports 30
      participation in student-teacher sessions (2L+3LC) 5
      TOTAL: 150
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 65 2.5
      Quantitative indicators 83 3
      Basic references
      1. Oppenheim A. V., Schafer R., Discrete-time Signal Processing. Prentice Hall, 2010.
      2. Rao K., Swamy M., Digital Signal Processing. Theory and Practice. Springer, 2018.
      3. Rawat T. K., Digital Signal Processing. Oxford University Press, 2015.
      4. Gazi O., Understanding Digital Signal Processing. Springer, 2018.
      5. Hussain Z. M., Sadik A. Z., Digital Signal Processing. Springer, 2011.
      Supplementary references
      1. Manolakis D. G., Ingle V. K., Applied Digital Signal Processing: Theory and Practice. Cambridge University Press, 2011.
      2. Schilling R. A., Harris S. L., Introduction to digital signal processing using MATLAB. Cengage Learning, 2012.
      3. Smith S. K., Digital Signal Processing; A Practical Guide for Engineers and Scientists. Elsevier Science, 2003.
      4. Gopi E. S., Multi-Disciplinary Digital Signal Processing: A Functional Approach Using Matlab. Springer, 2018.
      5. Lyons R., Understanding Digital Signal Processing. Prentice Hall, 2001.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technique Date of issuing the programme
      Author of the programme Dariusz Jańczak, PhD, DSc 24.04.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Electrical Circuits 2 Course code IS-FEE-10027S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 30 15 No. of ECTS credits 6
      Entry requirements Electrical Circuits 1 or relevant
      Course objectives To receive the knowledge of main rules describing the phenomenas and dependences in AC circuits in steady state and DC transient state circuits. To have the ability to calculate useful parameters of DC transient state circuit and 3-phase loads in a steady state.
      Course content Self inductance and mutual inductance. Analysis of circuits with magnetic coupling. Air transformer. Calculations and measurement of power in 3-phase systems. Balanced and unbalanced 3-phase circuits. Analysis of transient state in linear RLC circuits. Laboratory experiments for the phenomenas described above. Applying the simulations for analysis and design of circuits. Interpretation of results.
      Teaching methods lecture, classes, laboratory experiments, simulations
      Assesment methods Problems are presented for students at the beginning of semester. The evaluation is performing during personal discussion on several problems concerning all indicated topics.
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 explains the physical side of mutual element and describes the mathematical model of the circuits;
      LO2 analyses the 3-phase circuits with different configuration;
      LO3 is able to provide the financial effect of compensation of reactive power in 3-phase systems;
      LO4 understands the effect of commutations in electrical circuits containing the reactive elements;
      LO5 makes the verification of results of analysis by the use of simulation.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluating the student’s solutions of presented problems L
      LO2 evaluating the student’s solutions of presented problems L, C, LC
      LO3 evaluating the student’s solutions of presented problems, personal assessment C, LC
      LO4 evaluating the student’s solutions of presented problems, personal assessment C, LC
      LO5 evaluating the student’s solutions of presented problems, personal assessment C, LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      attending the class sessions 30
      attending and providing the laboratory class experiments 15
      self-working on learning and preparing the problems solutions 20
      preparation for the experiments at laboratory class 20
      preparation for and participation in exams/tests 35
      participation in student-teacher sessions related to the classes and lecture 15
      TOTAL: 150
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 75 3
      Quantitative indicators 100 4
      Basic references
      1. Thomas R. E., Rosa A. J., Toussaint G.J.: The Analysis & Design of Linear Circuits. 6th ed, Wiley Inc. 2009.
      2. Tung L. J., Kwan B. W.: Circuit Analysis. World Scientific 2001.
      3. Irvin J. D., Nelms R. M.: Basic Engineering Circuits Analysis. International Student Version. John Willey & Sons. Inc. 2008.
      4. https://www.khanacademy.org/science/electrical-engineering
      Supplementary references
      1. Michael E. Auer: Three Phase Circuits (https://pl.scribd.com/document/248006055/1-Three-Phase-Circuits-pdf).
      2. https://www.google.com/search?client=firefox-b&q=micro+cap+manual
      3. https://www.google.com/search?client=firefox-b&q=pspice+manual+9.1
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Jaroslaw Makal, Ph.D. Eng. 10.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Electrical Machines 2 Course code IS-FEE-10029S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 6
      Entry requirements Electrical Machines 1
      Course objectives Achievement of skills of analysis of DC and synchronous machines.
      Course content DC machines: construction, principles of operation, mathematical model. Direct current machine systems. Steady state with different conditions of power supply and load. Synchronous machines: construction, principles of operation and mathematical models. Torque of synchronous machines. Generators and motors.
      Teaching methods lecture, laboratory class
      Assesment methods written exam (lecture), evaluation of reports, verification of preparation for classes (laboratory classes)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 selects the measurement methods for basic research of electrical machines, analyzes test results, assesses the state of saturation of the magnetic circuit;
      LO2 selects speed control methods for DC machines, interprets the behavior of the DC machines for various values of supplying voltages and load torque;
      LO3 interprets influence of changes in the excitation current and load torque for synchronous generators and DC machines;
      LO4 describes the actual status and construction development trends in electrical machines;
      LO5 associates the connection of electrical machines with other areas of knowledge in the discipline of electrical engineering;
      LO6 can work in an organized laboratory group.
      LO7
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluating student’s preparation for laboratory tests, exam L, LC
      LO2 evaluating student’s preparation for laboratory tests, exam L, LC
      LO3 evaluating student’s preparation for laboratory tests, exam L, LC
      LO4 exam L
      LO5 exam L
      LO6 discussion on the report of the laboratory tests, observation of work in the laboratory LC
      LO7
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in workshop activities 30
      preparation for classes 30
      preparation for and participation in exams/tests 30
      elaboration of workshop’s reports 30
      TOTAL: 150
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 60 2
      Quantitative indicators 90 3
      Basic references
      1. Morris N.: Electrical & electronic engineering principles. Longman Group, 1994.
      2. Ryff P. F.: Electric machinery. Prentice Hall, New Jersey, 1988.
      3. Theodore W.: Electrical machines, drives and power systems. Pearson Education, New Jersey, 2006.
      Supplementary references
      1. Sen P. G.: Principles of electric machines and power electronics. J. Wiley & Sons, 1997.
      2. Chapman S. J.: Electric machinery fundamentals. Mc Graw Hil, 2005.
      3. Morris N. M.: Electrical and electronic engineering principles. Longman Group, 1994.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Adam Sołbut, Ph.D. Eng. 05.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Electronics 2 Course code IS-FEE-10030S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 30 No. of ECTS credits 5
      Entry requirements Electronics 1
      Course objectives The objective of this course is to provide students with deep understanding of advanced analogue circuits. The laboratory component of the course provides students with an opportunity to design, simulate and test various circuits discussed in class.
      Course content Frequency response of single transistor amplifiers. Linear applications of operational amplifiers. Nonlinear applications of operational amplifiers. Voltage comparators. Current sources. Active filters. Output stages and power amplifiers. Voltage regulators. RC oscillators. Optoelectronic devices and circuits. Several lab and homework assignments in this class will require the use of PSpice software
      Teaching methods Lecture, laboratory experiments, written reports
      Assesment methods written exam (lecture), evaluation of reports, verification of preparation for classes by tests (laboratory classes)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 describe the basic principles of operation of the electronic circuits;
      LO2 apply knowledge of mathematics and engineering to analyze and design analog circuits;
      LO3 use PSPICE to analyze and design electronic circuits;
      LO4 design and conduct experiments using datasheets and application notes;
      LO5 analyze and interpret the measurement data and prepare report;
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written exam, tests L, LC
      LO2 written exam, tests L, LC
      LO3 verification of preparation for classes, evaluation of reports LC
      LO4 tests, evaluation of class work, evaluation of reports LC
      LO5 evaluation of reports LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      participation in laboratory classes 30
      participation in laboratory classes 20
      working on projects, reports 20
      participation in student-teacher sessions related to the classes/seminar/project 5
      implementation of project tasks
      preparation for and participation in exams/tests 35
      TOTAL: NaN
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 50 2
      Quantitative indicators 50 2
      Basic references
      1. Sedra A. S., Smith K. C. Microelectronic Circuits, Oxford University Press, 2004.
      Supplementary references
      1. Tung L. J., Kwan B. W.: Circuit analysis. New Jersey, World Scientific, 2001.
      2. Filipkowski A.: Computer Aided Design and Engineering in Electronic Engineering Education. Warsaw University of Technology, 1996.
      3. Gray P. R., Hurst P. J., Lewis S. H., Meyer R. G.: Analysis and Design of Analog Integrated Circuits. John Willey & Sons, Inc., 2001.
      4. Saggio G.: Principless of analog electronic. CRC Press, 2014.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Andrzej Karpiuk, Ph.D. 22.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Fundamentals of Telecommunication Course code IS-FEE-10032S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 15 No. of ECTS credits 5
      Entry requirements
      Course objectives The aim of the course is to learn basic knowledge in the field of telecommunications, allowing for more effective studying and understanding the specific items they place in all the studies on the direction. The result of the course is to learn the main areas of the discipline, their interrelationships, and the fundamental rights and restrictions associated with the analyzed issues.
      Course content Elements of communication system, source of information, communication channels, fundamentals of information theory; analog modulation systems (DSB-AM, DSB-SC-AM, SSB-SC-AM, FM) and frequency division multiplexing; noise in analog communication systems especially: physical sources ofnoise, noise properties ofsystems, noise in analog modulation systems; discrete signals: sampling theory, pulse code modulation, PCM transmission, line coding, time division multiplexing, digital modulation (ASK, FSK, PSK, DPSK, QAM); noise in digital communication systems: statistical decision theory, distortion in PCM systems, digital modulation in noisy conditions, matched filtering and correlation detection; properties of selected telecommunication systems and technologies
      Teaching methods lecture and laboratory class.
      Assesment methods tests (lecture), evaluation of reports (laboratory classes)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 has an elementary knowledge of modern wired and wireless communication systems and networks, makes their classification and defines the services provided therein;
      LO2 has a theoretical basis for analysis of signals and systems and is able to compare properties of analog and digital modulation systems;
      LO3 has a theoretical basis on the sources of disturbances and how they impact on the transmitted signals, he can compare the characteristics of wired and wireless transmission media;
      LO4 has hands-on skills in maintenance and operation of digital switching system;
      LO5 measures the basic properties of the transmission mediums;
      LO6 can work in a group and distributes tasks to each person.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 tests on lecture content, evaluating the student’s reports L, LC
      LO2 tests on lecture content L
      LO3 tests on lecture content L
      LO4 evaluating the student’s reports LC
      LO5 evaluating the student’s reports LC
      LO6 evaluation of the student’s performance in classes LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in laboratory classes 15
      preparation for laboratory classes 15
      work on reports 30
      participation in student-teacher sessions related to the lecture and laboratory classes 10
      preparation for and participation in exams/tests 30
      TOTAL: 130
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 55 2
      Quantitative indicators 70 2
      Basic references
      1. Couch L. W.: Digital and analog communication systems. Prentice-Hall, 2001.
      Supplementary references
      1. Freeman Roger L.: Fundamentals of Telecommunication, Willey-IEEE Press, May 2005.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Krzysztof Konopko, Ph.D. Eng. 07.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name High Frequency Techniques 1 Course code IS-FEE-10033S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 15 No. of ECTS credits 5
      Entry requirements Circuits and Signals, Electromagnetic Field Theory or relevant
      Course objectives The aim of the course is to acquaint the students with basic topics of high frequency techniques: components, instruments, measurements, applications. Training skills of calculation of voltages and currents in transmission lines and solving simple problems of impedance matching.
      Course content Examples of applications of high frequency devices and systems. Electromagnetic waves in transmission lines (coaxial lines, striplines, microstrips) and in waveguides. Wave types (TEM, TE and TM) and wave modes. Definitions of current, voltage, characteristic impedance. Impedance matching (narrowband and broadband). The Smith chart. Multiport circuits. The scattering matrix. Passive microwave elements: reactance irises, matched loads, stub tuners, attenuators, phase shifters, power dividers, hybrid junctions, directional couplers. Resonators. Ferrite devices. Semiconductor devices. MEMS. Basics of high frequency measurements. Network analyzers.
      Teaching methods lecture, class
      Assesment methods discussion on homework reports (lecture), two tests (class)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 has detailed knowledge on the principles of operation of electronic high frequency components;
      LO2 has elementary knowledge on materials used in the high frequency technology;
      LO3 has ordered, theoretical knowledge on guiding of high frequency waves;
      LO4 knows and understands basic methods of measurements of parameters of high frequency devices;
      LO5 can get information from the literature and other sources, also in a foreign language;
      LO6 can use the known mathematical description for solving basic problems concerning transmission lines;
      LO7 can apply the Smith chart for analysis of simple impedance matching problems.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluating the student’s homework, and discussion on it L
      LO2 evaluating the student’s homework, and discussion on it L
      LO3 evaluating the student’s homework, and discussion on it L
      LO4 evaluating the student’s homework, and discussion on it L
      LO5 evaluating the student’s homework, and discussion on it L, C
      LO6 tests on classes content C
      LO7 tests on classes content C
      Student workload (in hours) No. of hours
      Calculation Lecture attendance 28
      discussion on homework reports 2
      participation in classes 13
      tests related to the classes 2
      preparation for classes 5
      homework reports 30
      participation in student-teacher sessions related to the class 15
      preparation for exams/tests 40
      TOTAL: 135
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 60 2
      Quantitative indicators 75 3
      Basic references
      1. Collin R. E.: Foundations for microwave engineering. IEEE Press, 2001.
      2. White J. F.: High frequency techniques – an introduction to RF and microwave engineering. Wiley, 2004.
      3. Elliott R. S.: An introduction to guided waves and microwave circuits. Prentice-Hall, 1998.
      Supplementary references
      1. Hickman I.: Practical radio frequency handbook. Newnes, 2002.
      2. Bowick C.: RF circuit design. Newnes, 1982.
      3. IEEE Microwave Magazine.
      4. Aniserowicz K.: lecture notes.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Prof. Karol Aniserowicz 12.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name High Voltage Technique Course code IS-FEE-10034S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 6
      Entry requirements
      Course objectives The principal objective of lectures is to cover the fundamentals of high-voltage test technique, generation and measurement of high voltages, electrical breakdown in gases, solid and liquid dielectric, travelling waves in high voltage lines, lightning and overvoltage protection and topresent the basics of high voltage insulation design.Skills of performing measurements, tests and studies on high voltage generators, electrical withstand of insulators and insulating materials and measurements of high voltages and high currents. Skills of safe work with high voltage electrical devices and apparatus.
      Course content Lecture High voltage test technique. Generation and measurement of high alternating and direct voltages. Generation and measurements of impulse voltages and currents. Dielectric loss and capacitance measurements. Partial discharge measurements. Disturbances in high voltage laboratory. Electrical breakdown in gases, solid and liquid dielectric. Travelling waves in high voltage lines. Reflection of travelling waves. Reflection of travelling waves against transformers. Lightning, mechanism, philosophy of protection, lightning protection of structures. Lightning and switching transients in power system. Protection against overvoltages. Surge protective devices. Insulation coordination. Construction elements for high voltage circuits. High voltages cables and capacitors. Design, materials and testing. High voltage Transformers. Materials and testing. External insulation. Design and testing. Laboratory class Measurement of voltage distribution across an insulator string. Measurements of electrical withstand of air subjected to high voltage of AC, DC and surge type. Methods of measurement of high voltages. Investigation of surge generators. Investigation of oil insulation.
      Teaching methods lecture and multimedia presentation, experiments in laboratory class
      Assesment methods final written test (lecture), evaluation of reports, verification of preparation for classes (laboratory class)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 develop an in-depth understanding and technical competence of HV test techniques, especially generation and measurement of high AC, AC and impulse voltages and impulse currents, partial discharge, dielectric loss and capacitance measurements; plans, selects appropriate equipment and performs measurement of high surge voltages and surge currents;
      LO2 develop an in-depth technical competence in lightning and overvoltage protection of structures;
      LO3 develop an in-depth understanding of electrical breakdown and withstand of gas, liquid and solid insulators or insulating materials; performs measurements and tests on electrical withstand of gas, liquid and solid insulators or insulating materials;
      LO4 develop an in-depth understanding in the area of lightning power systems protection; achieve a thorough knowledge and technical competence in a wide range of lightning and switching overvoltage protection in HV power station, HV lines and insulation coordination;
      LO5 develop an in-depth understanding of the theory and applications in power systems of High Voltage Direct Current (HVDC) transmission and Flexible AC Transmission Systems (FACTS);
      LO6 define and characterizes methods of generation and measurement of high voltages and high currents; describes basic characteristics and methods of investigation of electrical withstand of gas, liquid and solid insulators; plans, selects appropriate equipment and performs measurement of high voltages;
      LO7 elaborates, illustrates, interprets and compares obtained measurement or test results and draws aproprate conclusions;
      LO8 applies rules of safety and hygiene of work with high voltages; can work in a team.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 exam on lecture contentverification of preparation for laboratory classe L, LC
      LO2 exam on lecture content L
      LO3 exam on lecture contentverification of preparation for laboratory classe L, LC
      LO4 exam on lecture content L
      LO5 exam on lecture content L
      LO6 exam on lecture contentverification of preparation for laboratory classe L, LC
      LO7 work on reports from laboratory classes LC
      LO8 participation in student-teacher sessions related to the classes LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in laboratory classes 30
      preparation for laboratory classes 18
      work on reports from laboratory classes 24
      participation in student-teacher sessions related to the lecture 5
      participation in student-teacher sessions related to laboratory classes 5
      preparation and performance of presentation on selected topic 14
      preparation for and participation in exam 24
      TOTAL: 150
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 74 2.5
      Quantitative indicators 77 3
      Basic references
      1. Naidu M.S., Kamaraju V.: High voltage engineering. Mc. Graw Hill, 2003.
      2. Holzhauen J. P., Vosloo W. L.: High voltage engineering. Practice and theory. Mc. Graw Hill, 2009.
      3. Cooray V.: Lightning protection. IEEE, 2009.
      4. Kuffel E., Zaengl W. S., Kuffel J.: High voltage engineering fundamentals. Newness, 2000.
      Supplementary references
      1. Kind D., Feser K.: High voltage test technique. Newness, 2001.
      2. Cooray V.: The lightning flash. IEEE, 2004.
      3. Beyer M., Boeck W., Moeller K., Zaengl W.: Hochspannungstechnik. Theoretische und praktische grundlagen für die anwendungen. Springer, 1989.
      4. Zulkurnain A.: Fast transient response of high voltage surge arrester. VDM, 2010.
      5. Hasse P., Wiesinger J., Zischank W.: Handbuch für blitzschutz und erdung. Pflaum, 2006.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Renata Markowska, Ph.D. Eng. 07.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Security and Reliability of Network Systems Course code IS-FEE 10035S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 15 No. of ECTS credits 4
      Entry requirements Network Technologies or relevant
      Course objectives Acquiring knowledge of methods and techniques used to provide secure access, transmission and storage of information.
      Course content Fundamentals of cryptography. Conditions of providing data confidentiality and integrity. Symmetric and asymmetric cipher algorithms e.g. DES, RSA. Hash functions. Digital signatures. Idea of Public Key Infrastructure (PKI). Sources and types of security threats to network systems. Security threats to host and server applications. Security threats to web applications. Methods of protection against selected kinds of threats. Firewall systems, antivirus protection, intrusion detection systems (IDS), idea of honeypots. Methods of authentication and authorization in network systems. Conception of security politics. Examples of complex security politics. Security audit and penetration tests. Systems for data backuping and restoring. Array of disks (RAID). Network storage systems: Storage Area Network (SAN), Network Area Storage (NAS).
      Teaching methods lecture, specialization workshop
      Assesment methods lecture: tests
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 explains features, types, and applications of encryption algorithms and hash functions and distinguishing their functionalities;
      LO2 describes technologies used for providing secure users and devices authentication in network systems;
      LO3 characterizes methods of providing information confidentiality and integrity;
      LO4 depicts technologies used in information systems to provide secure and reliable data storage;
      LO5 identifies and characterizes sources and types of threats to network systems;
      LO6 setts up simple networks, configuring network settings in PC workstations and in choosing the proper means that can be used to protect data systems against the particular threats and explains their features;
      LO7 prepares multimedia presentation on given subject connected with module content.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 tests on lecture content, evaluating the student’s performance in classes L, SW
      LO2 tests on lecture content, evaluating the student’s performance in classes L, SW
      LO3 tests on lecture content, evaluating the student’s performance in classes L, SW
      LO4 tests on lecture content L
      LO5 tests on lecture content L
      LO6 tests on lecture content L
      LO7 evaluating the student’s presentations SW
      Student workload (in hours) No. of hours
      Calculation attending the class sessions 45
      preparation for specialization worshop 15
      work on presentations 20
      preparation for and participation in exams/tests 20
      TOTAL: 100
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 45 1.5
      Quantitative indicators 50 2
      Basic references
      1. Stallings W.: Cryptography and network security: principles and practice. Prentice Hall, 2010.
      2. Anderson R. J.: Security engineering: a guide to building dependable distributed systems. Wiley, 2008.
      3. Cole E., Krutz R. L., Conley J.: Network security bible. J. Wiley & Sons, 2005
      Supplementary references
      1. Chestwick W. R., Bellovin S. M., Rubin A. D.: Firewalls and internet security. Addison Wesley, 2003.
      2. Pipkin D. L.: Information security: protecting the global enterprise. Prentice Hall PTR, 2000.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Andrzej Zankiewicz, Ph.D. Eng. 26.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Techniques of Presentation Course code IS-FEE-10036S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 2
      Entry requirements
      Course objectives To receive the practice of presentation of technical topics. To be familiarised with public presentations and the methods of decrease the stress and control the emotions. Students will develop oral presentation skills that will assist them in successfully completing their courses and exams in English-medium courses at undergraduate level in their own field of study. Students will develop oral skills in the following areas: structuring and delivering formal presentations and posters; taking part in discussions; and producing appropriately formal language.
      Course content Perception about speaker. Examples of bad presentations. The communication process. Presentation model. Delivering the presentation. Designing a conference poster. Preparing and recording the self presentation in a front of camera.
      Teaching methods class discussion conducted by teacher, small group teaching, demonstration-performance method
      Assesment methods continuing evaluation of realised tasks focused on three elements: language, technique and structure
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 prepares a good presentation of a technical subject in a computer software;
      LO2 gives a clear, well-structured presentation of a typical technical subject;
      LO3 elaborates a poster for a conference and has the ability to provide the discussion on the base of it;
      LO4 express ideas and opinions with precision.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluation of the formal view of presentation (editorial and language verification, esthetics impression of graphical form, etc.)
      LO2 self-evaluating of student and the audience
      LO3 evaluation of the presentations
      LO4 evaluation of the poster and the quality of discussion
      Student workload (in hours) No. of hours
      Calculation attending the class sessions 30
      preparing of data and looking for recources of the practical advices 10
      preparation for and participation in presentations 5
      elaboration of report and poster 5
      observing good presentations at web sources 2
      TOTAL: 52
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 52 2
      Basic references
      1. Gallo C.: 10 Presentation Techniques You Can (And Should) Copy From Apple’s WWDC Keynote, (https://www.forbes.com/sites/carminegallo/2013/06/11/ten-presentation-techniques-you-can-and-should-copy-from-apples-wwdc-keynote/#395e933f36ad).
      2. http://www.businessballs.com/presentation.htm.
      Supplementary references
      1. https://www.businessesgrow.com/2015/10/27/effective-presentation-techniques/.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Jaroslaw Makal, Ph.D. Eng. 21.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Telecommunication Devices Course code IS-FEE-10037S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 3
      Entry requirements Radioelectronic Devices or relevant
      Course objectives The principal objective of lectures is to cover the fundamentals digital television and radio systems and radio transmitter structures
      Course content Structures and technical parameters of radiotransmitters and receivers. Automated gain control and automated frequency control. Frequency synthesizers. Microwave oscillators, microwave tubes, magnetrons and klystrons. Principles of digital communication systems. Channels multiplexing methods: FDMA, TDMA, CDMA.
      Teaching methods lecture, presentation
      Assesment methods oral exam, evaluation of student’s reports
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 has the knowledge about structures and parameters of transmitters and receivers;
      LO2 has the knowledge about principles microwave tubes and oscillators;
      LO3 has the knowledge about AFC and AGC systems principle of works;
      LO4 has the knowledge about principles of multiplexing communication channels.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluating the student’s reports and tests on lecture content L
      LO2 evaluating the student’s reports and tests on lecture content L
      LO3 evaluating the student’s reports and tests on lecture content L
      LO4 evaluating the student’s reports and tests on lecture content L
      Student workload (in hours) No. of hours
      Calculation Lecture attendance 30
      preparation for and participation in exams/tests 30
      preparation reports from homeworks 15
      TOTAL: 75
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 15 0.5
      Basic references
      1. Li Richard Chi-Hsi: RF circuit design. John Wiley & Sons, 2008.
      2. Grebennikov A.: RF and microwave power amplifier design. McGraw-Hill, 2005.
      Supplementary references
      1. Sorentino R., Bianchi G.: Microwave and RF engineering. John Wiley & Sons, 2010.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Maciej Sadowski 12.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Workshop on Programmable Logic Devices Course code IS-FEE-10038S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 4
      Entry requirements
      Course objectives Use of programmable logic device in real life example. Preparation of technical documentation, tools description and programming methods. Use of hardware description language to synthesise logic device controlling assigned plant. Oral presentation with discussion on individual project.
      Course content Programmable logic device (PLD) especially field programmed gate array (FPGA) characterisation. Introduction to selected computer-aided design (CAD) tool and hardware description language (HDL). Programming and testing of logic devices based on standard and self-prepared libraries. Automatic control of selected peripheral device. Synthesis of real life example of logic devise based on FPGA modul.
      Teaching methods project/specialization workshop
      Assesment methods projects completion, presentation and discussion of the projects
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 characterize programmable logic devices;
      LO2 gather information from technical documentation;
      LO3 prepare his own technical documentation;
      LO4 presents problems and solutions concerning assigned project;
      LO5 use necessary programming tools;
      LO6 use selected hardware description language;
      LO7 identify time and funds necessary for project realization;
      LO8 work well individually and in a group.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 project documentation and oral presentation
      LO2 project documentation
      LO3 initial project documentation
      LO4 oral presentation
      LO5 project documentation
      LO6 project documentation
      LO7 project documentation
      LO8 discussion of the student’s projects, evaluation of the student’s performance in classes
      Student workload (in hours) No. of hours
      Calculation participation in classes 30
      preparation for classes 15
      work on projects 60
      participation in student-teacher sessions related to the class 1
      preparation for and participation in project presentations 6
      TOTAL: 112
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 112 4
      Basic references
      1. Deschamps J. P.: Synthesis of arithmetic circuits FPGA, ASIC and embedded systems. John Wiley & Sons, 2006.
      2. Chu P. P.: FPGA prototyping by VHDL examples: Xiling Spartan-3 version. John Wiley & Sons, 2008.
      3. http://www.altera.com/literature/lit-index.html
      Supplementary references
      1. http://www.fpga4fun.com/
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Łukasz Sajewski, Ph.D. Eng. 08.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Automotive Electronics Course code IS-FEE-10041S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 30 No. of ECTS credits 4
      Entry requirements
      Course objectives Teaching a variety of problems related to contemporary automotive electronics. The student will explain electrical principles as they apply to automotive electronics and demonstrate proper use of electrical test equipment.
      Course content Lecture: Topics address electrical principles, semiconductor and integrated circuits, digital fundamentals, microcomputer systems based on microcontrollers, and electrical test equipment as applied to automotive technology. Laboratory class: Practical exercises in programming microcontrollers for automotive applications, diagnosis of selected automotive electronics systems.
      Teaching methods lecture, laboratory class
      Assesment methods lecture – written exam, laboratory classes – evaluation of reports, verification of preparation for classes
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 recognise and understand the different wiring diagrams used in manafacturers workshop manuals;
      LO2 identify the various modules and sensors from the wiring diagrams;
      LO3 determine the function and operation of the various modules and sensors and have a good knowledge of how they are used in the management of the vehicle control;
      LO4 distinguish between various functions that are part of an automobile electrical system;
      LO5 use suitable programming tools;
      LO6 write software for selected automotive microcontrollers;
      LO7 write software implementation of designed alghoritm;
      LO8 use application notes and data sheets.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written test on lecture content L
      LO2 written test on lecture content L
      LO3 written test on lecture content L
      LO4 written test on lecture content L
      LO5 evaluating the student’s reports LC
      LO6 evaluating the student’s reports LC
      LO7 evaluating the student’s reports LC
      LO8 evaluating the student’s reports LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      participation in classes, laboratory classes, etc. 30
      preparation for classes, laboratory classes, projects, seminars, etc. 36
      working on projects, reports, etc. 12
      participation in student-teacher sessions related to the classes/seminar/project 8
      implementation of project tasks 5
      preparation for and participation in exams/tests 10
      TOTAL: 116
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 55 2
      Quantitative indicators 61 2
      Basic references
      1. Hillier V. A. W.: Fundamentals of Automotive Electronics. 2005.
      2. Denton T.: Automobile Electronic & Electronic Systems. 2012.
      3. Bosch TI: Emissions control technology for gasoline engines. 2016, Bentley Publishers.
      4. Bosch Fuel Injection and Engine Management. 2016, Bentley Publishers.
      Supplementary references
      1. Wojtkowski W.: Lecture materials. 2017.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Wojciech Wojtkowski, Ph. D.

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Project in IT Networks Course code IS-FEE-10042S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 6
      Entry requirements Network Technologies or equivalent
      Course objectives Acquiring skills in creating and presenting projects of telecommunication and computer networks.
      Course content Students prepare individual projects of the network structure for assumed enterprises (usually with a few departments). In typical case the prepared project includes a selected components like telephone network, computer network with security solutions, dedicated power supply network and some specific components like alarm signaling network or internal television system (CCTV). The finished project should include analysis of demands, suggestion of solutions, diagrams of network structure and cost calculation (capex and opex). The project can also include other parts, specific for particular application (e.g. analysis of legal aspects of using radio devices). The prepared projects are presented and discussed during classes.
      Teaching methods discussion, projects
      Assesment methods projects completion, presentation and discussion of the projects
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 obtain information from the literature, databases, and other sources for the project;
      LO2 choose suitable contemporary network solutions and technologies in order to fulfill determined requirements;
      LO3 design network structure according to given requirements;
      LO4 create written documentation of the network design;
      LO5 present, discuss and defend prepared project.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 project documentation P
      LO2 project documentation P
      LO3 project documentation P
      LO4 project documentation P
      LO5 oral presentation and discussion P
      Student workload (in hours) No. of hours
      Calculation preparation of the project of the network structure 80
      work on documentation of the project 30
      consultations 15
      preparation to the presentation and defense of the project 25
      TOTAL: 150
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 15 0.5
      Quantitative indicators 150 6
      Basic references
      1. Comer D. E.: Internetworking with TCP/IP, Vol 1, Sixth edition. Addison-Wesley, 2013.
      2. Sportack M.: IP Addressing Fundamentals. Cisco Press, 2002.
      3. Documentation of the IT equipment and components.
      Supplementary references
      1. Anderson R. J.: Security Engineering: A Guide to Building Dependable Distributed Systems, second edition. John Wiley & Sons, 2008.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Andrzej Zankiewicz, PhD 17.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Embedded Systems Course code IS-FEE-10043S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 15 No. of ECTS credits 3
      Entry requirements
      Course objectives To acquaint students with embedded systems and to help them acquire practical skills in the configuration of embedded systems based on Linux.
      Course content Commercial and technical reasons to use embedded systems. Generic architecture of embedded linux systems. Basic shell commands. Efficient tools to generate embedded Linux systems: crosstool-ng, busybox, buildroot, OpenWRT. Configuring and compiling the kernel. Booting a Linux system. Examples of use of embedded systems.
      Teaching methods lecture and specialization workshop
      Assesment methods lecture – test; specialization workshop – evaluation of reports
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 has knowledge of the design and construction of embedded systems;
      LO2 knows the tools for the installation and configuration of embedded systems;
      LO3 is able to design and implement an embedded system using appropriate methods, techniques and tools;
      LO4 is able to use available tools and develop their own tools and applications to extend the functionality of an embedded system.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 tests on lecture content, evaluating students’ reports L, SW
      LO2 tests on lecture content, evaluating students’ reports L, SW
      LO3 evaluating students’ reports, observation of work in class SW
      LO4 evaluating students’ reports, observation of work in class SW
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      participation in specialisation workshop 15
      required reading 15
      work on reports 15
      participation in student-teacher sessions 4
      preparation for specialisation workshop 15
      Preparation for the final test 4
      TOTAL: 83
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 35 1.5
      Quantitative indicators 59 2
      Basic references
      1. Yaghmour K., Masters J., Yossef G. B., Gerum P.: Building Embedded Linux Systems. O’Reilly Media, Cambridge 2008.
      2. Gene S.: Pro Linux Embedded Systems. Apress, New York 2009.
      3. Love R.: Linux Kernel Development. Addison Wesley, New York 2010.
      Supplementary references
      1. Monk S.: Raspberry Pi Cookbook: Software and Hardware Problems and Solutions. O’Reilly Media, Boston 2016.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Krzysztof Konopko, Ph. D. 16.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Computational Electromagnetics Course code IS-FEE-10045S 
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      10 20 No. of ECTS credits 2
      Entry requirements
      Course objectives Description of widely used CAD methods for engineering problems dealing with the electromagnetic field: finite element method and finite difference method. Applications of these methods to electromagnetic issues (static models, low and high frequency).
      Course content Lecture: Partial differencial equations: classification, method of solution. Physical model vs. mathematical model. Analytical solution vs. simulation. Modeling and Simulation Cycle, modeling methodology. 1D, 2D, 3D modeling. Time domain vs. time harmonic analysis. Narrowband vs. wideband analysis. 2D Mixed-Mode Modeling. Explicit vs. implicite methods. Models of materials in computational electromagnetics. Finite element method: weak form, classification of the elements, test functions. Local and global formulation. Declaration and physical interpretation of the boundary conditions. Perfectly Matched Layer conditions. Methods of adaptive meshing. Parametrization of the models. Coupled analysis of the phenomena. Finite difference calculus: differentia quotiens, differencing, discretization of the domain, spatial difference operators, implicit formulas.
      Teaching methods understands and explains the principles of computer aided modelling usind FEM and FD schmes
      Assesment methods lecture – final written test (at least 50% of points are necessary to pass)
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 understands and explains the principles of computer aided modelling usind FEM and FD schmes;
      LO2 is able to construct the proper model of EM phenomena using FEM and FD methods;
      LO3 is able to interpret and assess the results of computations;
      LO4 can prepare an advanced numerical model of the EM problem.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluation of students’ reports and written tests L, SW
      LO2 evaluation of students’ reports and written tests L, SW
      LO3 evaluation of students’ reports and written tests L, SW
      LO4 evaluation of students’ reports and written tests L, SW
      Student workload (in hours) No. of hours
      Calculation lecture attendance 10
      preparation for workshops 12
      participation in workshops 20
      work on reports from workshop classes and/or work on home assignments 12
      participation in student-teacher sessions related to lectures and workshops 4
      preparation for and attendance at the final test from lectures 2
      TOTAL: 60
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 46 1.5
      Basic references
      1. Bhatti A. M.: Fundamental finite element analysis and applications with Mathematica and Matlab computations. John Wiley & Sons, Hoboken, 2005.
      2. Manassah J. T.: Elementary mathematical and computational tools for eletrical and computer engineers using Matlab. CRC Press, Boca Raton, 2001.
      3. Elsherbeni A. Z., Demir V.: The finite-difference time-domain method for electromagnetics with MATLAB simulations. SciTech Publishing, Raleigh, 2009.
      4. Crow M.: Computational methods for electric power systems. CRC Press, Boca Raton, 2003.
      Supplementary references
      1. Hager G., Wellein G.: Introduction to high performance computing for scientists and engineers. CRC/Taylor & Francis, Boca Raton, 2011.
      2. Schafer M.: Computational engineering: introduction to numerical methods. Springer-Verlag, Berlin, 2006.
      3. Zienkiewicz O. C., Taylor R. L., Zhu J. Z.: The finite element method: its basis and fundamentals. Elsevier, Amsterdam, 2005.
      4. Taflove A.: Advances in computational electrodynamics: the finite-difference time-domain method. Artech House, London, 1998.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Boguslaw Butrylo, D.Sc., Ph.D., Assoc. Prof. 13.12.2019

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Instrumentation and Measurements Course code IS-FEE-10047S 
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 30 No. of ECTS credits 5
      Entry requirements
      Course objectives To understand the basic working principles of electrical and electronic measuring instruments. To receive the skills to managing and operating analogue and digital instruments for a particular application. To learn the ways of presenting and interpreting results. To calculate the uncertainty of the direct and undirect single and multiple measurements.
      Course content Introduction to metrology and measuring instruments; errors and uncertainties; instrument transformers and their applications; resistance, voltage and current measurements; power and energy measurements; impedance measurement; frequency measurement; analog-to-digital converters; digital oscilloscope.
      Teaching methods lecture, laboratory classes
      Assesment methods lecture – written exam; laboratory classes- evaluation of written report, assessment of preparation to do exercises, evaluation of completing a measurement task
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 interprets the results of measurements and presents them in an appropriate form;
      LO2 performs propre measurements of electrical quantities;
      LO3 calculates limiting errors and uncertainties;
      LO4 applies appropriate methods to measure basic electrical quantities;
      LO5 implements and operates appropriate equipment in a measuring experiment.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 passing short tests before laboratory classes, making a report, passing an exam L, LC
      LO2 making a report about laboratory exercise, completing a measurement task LC
      LO3 making a report, passing an exam L, LC
      LO4 evaluation of completing a measurement task, passing an exam L, LC
      LO5 evaluation of completing a measurement task, making a report LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      participation in classes, laboratory classes, etc. 30
      preparation for classes, laboratory classes, projects, seminars, etc. 30
      working on projects, reports, etc. 20
      participation in student-teacher sessions related to the classes/seminar/project 10
      implementation of project tasks 0
      preparation for and participation in exams/tests 20
      TOTAL: 125
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 57 2
      Quantitative indicators 90 3
      Basic references
      1. Carr J. J.: Elements of electronic Instrumentation and Measurement. Pearson Education, 2003.
      2. Bentley J.: Principles of Measurements Systems. Pearson Education, 2005.
      3. Doeblin E. O.: Measurement systems: Application and design, 5th edition. McGraw-Hill, 2003.
      4. Sydenham P., Thorn R.: Handbook of Measuring Systems Design. John Wiley & Sons, 2005.
      Supplementary references
      1. Webster J. G.: The measurement, instrumentation, and sensors handbook. CRC Press 1999.
      2. Potter R. W.: The art of measurement. Theory and Practice. Prentice Hall PTR 2000.
      3. Webster J. G., Eren H.: Measurement, instrumentation, and sensors handbook: spatial, mechanical, thermal, and radiation measurement. CRC/Taylor & Francis, 2014.
      4. JCGM – Joint Committee of Guides in Metrology, Evaluation of measurement data – Guide to the expression of uncertainty in measurement, 2008.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Jaroslaw Makal, Ph.D. 20.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Internet of Things Course code IS-FEE-10051S
      Course type elective course
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 15 15 No. of ECTS credits 3
      Entry requirements fundamentals of digital technique
      Course objectives The course is designed to teach students about the Internet of Things (IoT), which relates to the study of sensors, serial data buses, actuators, cloud computing, MQTT protocol and controllers, IoT applications, system security and examples overview (building automation, transportation, healthcare, industry). After completing the course a student will explain principles of operation of a variety of IoT digital subsystems and will be able to design a simple IoT application.
      Course content Lecture: Topics address main concepts behind the Internet of Things (the IoT paradigm, smart objects, convergence of technologies, security, protocols), technologies related to the Internet of Things, single board microcomputer IoT nodes, microcontroller based IoT nodes, sensors and serial interfaces.
      Teaching methods lecture, laboratory class, project
      Assesment methods lecture – written exam + oral exam, laboratory classes – evaluation of reports, verification of preparation for classes, project – project completion, presentation and discussion
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 recognise and understand wiring diagrams related to IoT nodes;
      LO2 identify various data buses and interfaces from the wiring diagrams;
      LO3 determine the function and operation of the various modules and sensors and have a good knowledge of how they are used in the management of the IoT devices;
      LO4 uses suitable programming tools;
      LO5 writes software implementation of a designed alghoritm.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written test on lecture content L
      LO2 written test on lecture content L
      LO3 written test on lecture content L
      LO4 evaluating the student’s reports and projects LC, P
      LO5 evaluating the student’s reports and projects LC, P
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      participation in laboratory classes and project sessions 30
      preparation for laboratory classes, projects 10
      working on projects, reports, 15
      implementation of project tasks 10
      preparation for and participation in exams/tests 4
      TOTAL: 84
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 45 1.5
      Quantitative indicators 65 2.5
      Basic references
      1. Rao M.: Internet of Things with Raspberry Pi 3: Leverage the power of Raspberry Pi 3 and JavaScript to build exciting IoT projects. Packt Publishing Ltd., 2018.
      2. Girardin G., Bonnabel A., Mounier E.: Technologies & Sensors for the Internet of Things Businesses & Market Trends 2014 – 2024. Yole Développement, 2014.
      3. Waher P.: Learning Internet of Things. Packt Publishing, 2015.
      4. Bahga A., Madisetti V.: Internet of Things (A Hands-on-Approach). Published by authors 2014.
      5. Ida N.: Sensors, Actuators and Their Interfaces. Scitech Publishers, 2014.
      Supplementary references
      1. Frenzel L. E.: Handbook of Serial Communications Interfaces: A Comprehensive Compendium of Serial Digital Input/Output (I/O) Standards. Elsevier, 2015.
      2. Papazoglou P. M.: An Educational Guide to the AVR Microcontroller Programming: AVR Programming::Demystified (Assembly Language). Kessariani, 2018.
      3. Barnett R. H., Cox S., O’Cull L.: Embedded C Programming and the Atmel AVR, 2nd Edition. Delmar Cengage Learning, 2006.
      4. Geddes M.: Arduino Project Handbook: 25 Practical Projects to Get You Started. 2016.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Ph.D., Eng. Wojciech Wojtkowski 2020.02.18

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Microprocessor Technique and Microcontrollers Course code IS-FEE-10058S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 6
      Entry requirements
      Course objectives Teaching the basic problems of the microprocessor technique and microcontrollers. Programming basics of microcontrollers.
      Course content Binary arithmetic. Basic topics of the microprocessor engineering. Microprocessor system structures and main components: processors, memories, basic peripheral devices, standard buses, additional circuits. Interrupt systems. Methods of input/output device service. Selected microcontroller family: standard structure, instruction list, peripherals, interrupts, extensions. Input/output binary and analogue devices. Laboratory class: Practical exercises in programming of basic algorithms and I/O device service in machine- and high-level language.
      Teaching methods lecture, classes, laboratory classes, project, specialization workshop, seminar
      Assesment methods lecture – written exam, laboratory class – set of exercises
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 describes the activity of microprocessor and whole microprocessor system;
      LO2 distinguishes: types of processors, interrupt systmes, semiconductor memories, peripherial device service techniques;
      LO3 recognizes: microprocessor system components and structures;
      LO4 describes the activity of modern microcontrollers;
      LO5 uses suitable programming tools;
      LO6 writes software servicing the microcontroller I/O devices;
      LO7 writes software implementation of designed alghoritm.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written test on lecture content L
      LO2 written test on lecture content L
      LO3 written test on lecture content L
      LO4 written test on lecture content L
      LO5 evaluating the student’s reports LC
      LO6 evaluating the student’s reports LC
      LO7 evaluating the student’s reports LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      individual work on lecture topics 30
      participation in laboratory class 30
      preparation for laboratory class 24
      work on reports 24
      participation in student-teacher sessions related to the class 4
      preparation for and participation in exams/final test 11
      TOTAL: 153
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 65 2
      Quantitative indicators 78 3
      Basic references
      1. Ken A.: Embedded Controller Hardware Design. ISBN: 1878707523; 246 p, 2001, Elsevier Newnes.
      2. Ball S.: Embedded Microprocessor Systems. ISBN: 0750675349; 432 p, 2002, Elsevier Newnes.
      3. Buchanan W.: Computer Busses. ISBN: 0340740760; 632 p, 2000, Elsevier Butterworth-Heinemann.
      4. Park J.: Practical Embedded Controllers. ISBN: 0750658029, 266 p, 2003, Elsevier Newnes.
      5. Ganssle J.: The Art of Designing Embedded Systems. ISBN: 0750698691, 262 p, 1999, Elsevier Newnes.
      Supplementary references
      1. Grodzki L.: Presentations for lecture. Course website.
      2. Grodzki L.: Laboratory Guide. Course website.
      Organisational unit conducting the course Department of Automatic Control and Electronics Date of issuing the programme
      Author of the programme Lech Grodzki, Ph.D. Eng. 02.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Field Programmable Gate Arrays Course code IS-FEE-10059S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 30 No. of ECTS credits 5
      Entry requirements
      Course objectives The target of this course is to introduce the students to the structural design of FPGAs in the way, which is appropriate for both programmers and hardware engineers.
      Course content Internal FPGAs architecture, clock signal frequency synthesis, signal I/O standards. CAD software for designing FPGAs – Intel Quartus II software. Design flow of FPGAs. VHDL: fundamentalunits, librarydeclarations, entity, architecture. Concurrent code. Sequential code.State machines. Packages and components. Functions and procedures. IEEE standard packages. Techniques description of the project, simulation, implementation and programming of FPGAs. Constructing a digital circuit using FPGAs. Synthesis of complex hierarchical designs. Synthesis of digital systems using standard prototype modules. Support for external devices via FPGA: PWM signal modulation, I2C and SPI bus control.
      Teaching methods describes the basic features and properties of FPGAs
      Assesment methods lecture – test, laboratory classes – evaluation of reports
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 describes the basic features and properties of FPGAs;
      LO2 recognizes the syntax of the VHDL statements;
      LO3 uses the features of the CAD FPGA platform;
      LO4 designs simple digital systems in programmable structures;
      LO5 uses VHDL to describe the system and designs new components;
      LO6 combines various description techniques to design complex systems;
      LO7 can run a simple digital system using conventional prototype modules;
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluating the student’s test L
      LO2 evaluating the student’s test L
      LO3 evaluating the student’s reports LC
      LO4 evaluating the student’s reports LC
      LO5 evaluating the student’s reports LC
      LO6 evaluating the student’s reports LC
      LO7 evaluating the student’s reports LC
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      participation in laboratory classes 30
      preparation for laboratory classes 30
      working on reports 25
      participation in student-teacher sessions related to the classes and laboratory classes 5
      preparation for and participation in test 20
      TOTAL: NaN
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 47 1.5
      Quantitative indicators 102 4
      Basic references
      1. Floyd L. T.: Digital Fundamentals with PLD Programming. Prentice Hall, 2005.
      2. Volnei A. Pedroni: Circuit Design with VHDL. MIT, Cambridge, London, 2004.
      3. Jha N.K., Gupta S.: Testing of Digital Systems. Cambridge University Press, 2003.
      4. IEEE Standard 1076-2008 VHDL-200X.
      5. Hamblen J., Hall T., Furman M.: Rapid Prototyping of Digital Systems. Springer, 2008.
      Supplementary references
      1. Terasic Inc.: DE2-115 User Manual. www.terasic.com, 2010.
      2. My First FPGA for Altera DE2-115 Board. www.terasic.com, 2010.
      3. My First Nios II for Altera DE2-115 Board. www.terasic.com, 2010.
      4. Pedroni V.: Circuit Design with VHDL. MIT Press, 2004.
      5. Hwang E.: ELECTRONiX: Digital Logic and Microprocessor Design with VHDL. La Sierra University, 2005.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Marian Gilewski, Ph.D. Eng. 31.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Project of Electrical Installations in Industrial Building Course code IS-FEE-10060S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 6
      Entry requirements
      Course objectives Teaching how to solve an engineering project task by means of the information obtained from literature, databases and other sources.
      Course content Complete with module content: rules and statutory regulations, installed power loads – characteristics, LV architecture selection guide, lighting installations, sizing and protection of conductors, protection against electric shocks, LV switchgear: functions & selection, overvoltage protection, reactive energy.
      Teaching methods discussion, presentation
      Assesment methods projects completion, presentation and discussion of the projects
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 can elaborate and realize the schedule of actions necessary to achieve the goal;
      LO2 identyfies and describes basic technical solutions in the area of the project;
      LO3 can calculate basic quantities describing operating simple systems connected with the area of the project;
      LO4 is able to obtain information from the literature, databases, and other sources for the project;
      LO5 can design circuits and systems in chosen field of electrical engineering;
      LO6 is able to use the data sheets and application notes to;
      LO7 is able to prepare and present a short presentation on of the completed project.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 project documentation and oral performance in project’s classes
      LO2 project documentation
      LO3 project documentation
      LO4 project documentation
      LO5 project documentation
      LO6 project documentation
      LO7 oral performance in project’s classes
      Student workload (in hours) No. of hours
      Calculation work on the project 130
      consultations 30
      preparation to the defence of the project 20
      TOTAL: 180
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 180 6
      Basic references
      1. Seip G. G.: Electrical Installations Handbook. John Wiley & Sons. Third Edition, 2000.
      2. Atkinson B.: Electrical installation design. John Wiley & Sons, Fourth Edition, 2013.
      3. Standard IEC 60364: Low voltage installations.
      4. Electrical installation guide. According to IEC international standards. Schneider Electric. Edition 2016.
      Supplementary references
      1. Electrical installation handbook. Protection, control and electrical devices. Technical guide 6-th edition 2010. ABB Sace.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Marcin A. Sulkowski PhD, Eng 13.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Introduction to Programming in C Course code IS-FEE-10061S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 3
      Entry requirements
      Course objectives Developing the skills of computer algorithms designing and implementing them in the form of programs in C language.
      Course content Structured programming in C language: data types, variables and constants, expressions and statements, operators, precedence of operators, formatted input/output, conditional statements, loops, arrays, pointers and dynamic memory allocation, structures, unions and bit fields, text and binary files, functions, passing argument to functions.
      Teaching methods multimedia presentation, solving programming problems
      Assesment methods two practical tests, evaluation of computer programs
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 writes and runs simple structured programs in C language using the appropriate data types and conditional statements;
      LO2 uses loops and arrays in programs in C language;
      LO3 defines and uses its own functions in programs in C language;
      LO4 reads and writes data from and to files in programs written in C language.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 practical test, evaluation of computer programs SW
      LO2 practical test, evaluation of computer programs SW
      LO3 practical test, evaluation of computer programs SW
      LO4 practical test, evaluation of computer programs SW
      Student workload (in hours) No. of hours
      Calculation participation in specialization workshop 30
      preparation for specialization workshop 18
      working on homework (computer programs) 18
      participation in student-teacher sessions related to the specialization workshop 5
      preparation for practical tests (specialization workshop) 10
      TOTAL: 81
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 35 1.5
      Quantitative indicators 81 3
      Basic references
      1. Prata S.: C Primer Plus (6th Edition) (Developer’s Library). Addison-Wesley Professional, 2013.
      2. Kernighan B. W., Ritchie D. M.: The C Programming Language. 2nd Edition, Prentice Hall, 1988.
      3. Kochan S. G.: Programming in C (4th Edition) (Developer’s Library). Addison-Wesley Professional, 2014.
      Supplementary references
      1. King K. N.: C Programming: A Modern Approach, 2nd Edition. W. W. Norton & Company, 2008.
      2. Reese R. M.: Understanding and Using C Pointers. O’Reilly Media, 2013.
      3. Shaw Z. A., Learn C the Hard Way: Practical Exercises on the Computational Subjects You Keep Avoiding (Like C). Addison-Wesley Professional, 2015.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Jarosław Forenc, PhD 23.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree, full time programme
      Specialization/ diploma path Study profile
      Course Name Object-Oriented Programming Course code IS-FEE-10062S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 3
      Entry requirements
      Course objectives Familiarising students with the methods and structures used in object-oriented programming in C language. Implementation of a project consisting in self-writing the program in C with the practical application of methods of object-oriented programming
      Course content Pointers and functions. Overloading. An object and a class. Creation and destruction of the object. Objects and pointers. Properties and methods. Overloading of methods and operators. Encapsulation. Inheritance. Polymorphism and virtual methods. Standard Template Library.
      Teaching methods practical work and reports
      Assesment methods verification of preparation for classes, evaluation of written programs
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 student defines and uses in practice concepts in object-oriented programming;
      LO2 student designs, starts and tests the program in C++ written in accordance with the principles of object-oriented programming;
      LO3 student analyzes and corrects errors in the program;
      LO4 student uses libraries of classes and templates during practical writing of the program.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 assessment during the classes, evaluation of the projects SW
      LO2 assessment during the classes, evaluation of the projects SW
      LO3 assessment during the classes, evaluation of the projects SW
      LO4 assessment during the classes, evaluation of the projects SW
      Student workload (in hours) No. of hours
      Calculation participation in the laboratory 30
      preparation for the laboratory 20
      working and description of laboratory reports 20
      participation in student-teacher sessions related to the laboratory classes 5
      analysis and improvement of programs 30
      TOTAL: 105
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 35 1.5
      Quantitative indicators 105 4
      Basic references
      1. Stroustrup B.: Programming C++ – The C++ Programming Language 4th Edition. Addison-Wesley, 2013.
      2. Savitch W.: Absolute C++ 5th Edition. Pearson, 2013.
      3. Stroustrup B.: A Tour of C++. Addison-Wesley, 2014.
      4. Gregoire M.: Professional C++, 3rd Edition. Wrox-Wiley, 2016.
      5. Johnson B. Professional Visual Studio 2015. Wrox, 2015.
      Supplementary references
      1. Liberty J., Rao S., Jones B.: Teach Yourself C++ in One Hour a Day 8th Edition. SAMS, 2017.
      2. Schildt H.: C++ The Complete Reference, 4th Edition. McGraw-Hil, 2000.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technique Date of issuing the programme
      Author of the programme Adam Nikołajew, Ph.D. 27.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Process Automation Course code IS-FEE-10063S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 6
      Entry requirements
      Course objectives This course deals with the study of engineering principles and methodologies used to design and analysis of event driven (discrete) and continuous systems. Emphasis is placed on description methods and software implementation of combination and sequential systems. A structured approach to automation of selected systems, identifies appropriate equipment, production and manufacturing techniques.
      Course content Automation of event driven systems (discrete) and continuous systems. Finite state machines theory. Melay and Moore machines. Description methods of combination, synchronous and asynchronous sequential systems and their elements. Types and conversion, codes. Diagram; state reduction; state assignment. Grafcet, SFC, Grafpol and Ladder diagram design sequence. PLC-based operative unit programming. Sequential logic implementation. Analysis by signal tracing and timing diagrams. Matlab Stateflow functions. Derivation of state tables and diagrams. True tables. Steps, transitions, connectors, direct links, logical conditions.
      Teaching methods PowerPoint presentations, Matlab/Simulink software, Matlab/Simulink Stateflow Toolbox, project examples, MathWorks help, text books
      Assesment methods lecture – written exam, project – project completion, presentation and discussion, performance of the project
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 basic knowledge of sequential and combinational circuits, programming methods, and designing of industrial automation process;
      LO2 knowledge of even driven (digital) and continuous control systems hardware, principle of finite state machines, and background of automation systems;
      LO3 knowledge of define of automation systems, ability to search, integrate and interpret information from literature and alternative sources;
      LO4 practical skills to design of continuous and discrete control systems including their functionality and economic benefit, control systems’ hardware selection ability and the self-tuning of controllers’ parameters;
      LO5 ability and skills to event driven control system design, and to formulate assumptions/conditions for the basic automation batch process;
      LO6 demand for permanent education as well as an increased awareness of its vital importance for development;
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written exam L
      LO2 written exam L
      LO3 written exam L
      LO4 written exam, project evaluation, activity on project classes L, P
      LO5 written exam, project evaluation, activity on project classes L, P
      LO6 written exam, project evaluation, activity on project classes L, P
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in classes, laboratory classes, etc. 30
      preparation for classes, laboratory classes, projects, seminars 25
      working on projects, reports, etc. 45
      participation in student-teacher sessions related to the classes/seminar/project 5
      implementation of project tasks and preparation for and participation in exams/tests 22
      TOTAL: 157
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 68 2.5
      Quantitative indicators 116 4
      Basic references
      1. Roth C. H.: Fundamentals Logic Design. Jaico Publishing, IV edition, 2002.
      2. Floyd T. L.: Digital Fundamentals, 10th edition, Pearson Education, 2009.
      3. Hugh J.: Automating Manufacturing Systems with PLCs. E-book, Ver. 5.0, 2007.
      4. Morris M., Mano M., Ciletti D.: Digital Design. Pearson Education, 5th edition 2012.
      5. The MathWorks, Stateflow Toolbox for Matlab.
      Supplementary references
      1. Bequette B. W.: Process Control, Modeling, Design and Simulation. Prentice Hall, 2003.
      2. Dorf R. C., Bishop R. H.: Modern Control Systems, 10th Edition, Prentice Hall, 2005.
      3. www.mathworks.com.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Assoc. Prof. Arkadiusz Mystkowski, PhD, DSc, Eng 25.03.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Industrial Networks Course code IS-FEE-10064S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 5
      Entry requirements
      Course objectives This course deals with study of engineering principles and methodologies used to design, configure and programing of the industrial network: PROFIBUS DP. Emphasis is placed on hardware and software engineering due to PLC controller’s networks based on the SIMATIC. This course fulfils the general maintenance of industry process-data exchanging between PLCs in the real-time control systems. A practice knowledge to network configuration and run-operations for peripheral devices and network diagnostics is also introduced.
      Course content Basic of industrial network PROFIBUS DP. Physical layer, cabling, parameters. Types of data transmission, communication’s protocols and bus data access methods. Fundamentals principles of PROFIBUS DP communication. Isochronous real-time (IRT) mode, layers and addressing of active and passive components. Programming of synchronous and asynchronous data exchange in PROFIBUS DP based on the SIMATIC. Diagnostic of PROFIBUS DP: diagnostic functions, errors detects and faults localization, monitoring, alarms and software blocks of PLC to data errors recording.
      Teaching methods PowerPoint presentations, PLC programming software, PLC simulators, text books and other technical data
      Assesment methods lecture – written exam, project – project completion, presentation and discussion, performance of the project
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 basic knowledge of principle of PROFIBUS DP network and communication protocols;
      LO2 ability to programming of data exchange in the real-time industrial control systems and knowledge of distributed peripheral control devices;
      LO3 basic knowledge of performing diagnostic software methods and topology design of PROFIBUS DP network and hardware components;
      LO4 practical skills to design, configure, parameters set-up, start-run and service of the industrial network: PROFIBUS DP;
      LO5 practical skills to programming of communication functions for PROFIBUS DP;
      LO6 practical skills to programming diagnostic software methods, demand for cooperation with other student within group, as well as an increased awareness of its vital importance for development;
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written exam, project evaluation, activity on project classes L, P
      LO2 written exam, project evaluation, activity on project classes L, P
      LO3 written exam, project evaluation, activity on project classes L, P
      LO4 project evaluation, activity on project classes P
      LO5 project evaluation, activity on project classes P
      LO6 project evaluation, activity on project classes P
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in classes, laboratory classes, etc. 30
      preparation for classes, laboratory classes, projects, seminars, etc. 27
      working on projects, reports, etc. 12
      participation in student-teacher sessions related to the classes/seminar/project 4
      implementation of project tasks, preparation for and participation in exams/tests 32
      TOTAL: 135
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 64 2.5
      Quantitative indicators 80 3
      Basic references
      1. Popp M.: The New Rapid Way to PROFIBUS DP. PROFIBUS Nutzerorganisation e.V., 2004.
      2. Mahalik N. P.: Fieldbus Technology: Industrial Networks Standards for Real-Time Distributed Control. Springer, 2003.
      3. EN 50170-2 PROFIBUS, EN 50254-3 PROFIBUS-DP, ICS 61158 i 61784 PROFINET.
      Supplementary references
      1. Hugh J.: Automating Manufacturing Systems with PLCs. E-book, Ver. 5.0, 2007.
      2. Mackay S., Wright E., Reynders D., Park J.: Practical Industrial Data Networks: Design, Installation and Troubleshooting (IDC Technology). Elsevier Linacre House, 1st edition, 2004.
      3. Industrial Communication Catalog IK PI, SIEMENS, 2002/2003.
      4. www.profibus.com.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Assoc Prof. Arkadiusz Mystkowski, PhD, DSc, Eng 25.03.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Computer Methods in Automatics Course code IS-FEE-10065S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 30 No. of ECTS credits 6
      Entry requirements
      Course objectives This course deals with the study of engineering principles and methodologies used main computer programs to solve fundamental problems in control plants and control systems. Major course topics include knowledge of Matlab/Simulink software used to computing, modelling, analysing and plotting of dynamical systems and linear control systems. Before attendance of this course, students should have basic knowledge of computer programming and description of control plants.
      Course content Descriptions of the main computer programs used in automatics. Introduction and fundamentals of Matlab. System functions and configuration of Matlab environment. Matrix and operations. Numerical computations. M-files and function scripts. Graphics, plotting and visualization in 2D and 3D. Modelling of dynamical systems with Control Toolbox. Design of complex dynamical systems by using Control Toolbox. Analysing dynamical systems in time and frequency domains in Matlab. Design linear control systems in Matlab. Introduction and fundamentals of Simulink. Setup and simulation parameters in Simulink. Modelling and simulations of dynamical systems in Simulink. Design and analysing of the complex control systems in Simulink. Group subsystems and map blocks in Simulink. Modelling and investigations of dynamical systems in Matlab Control Toolbox. Design and simulations of dynamical systems in Simulink. Design of linear control system with structurally unstable control plant in Matlab/Simulink. PID and LQR control design. Descriptions of the main computer programs used in automatics. Introduction and fundamentals of Matlab. System functions and configuration of Matlab environment. Matrix and operations. Numerical computations. M-files and function scripts. Graphics, plotting and visualization in 2D and 3D. Modelling of dynamical systems with Control Toolbox. Design of complex dynamical systems by using Control Toolbox. Analysing dynamical systems in time and frequency domains in Matlab. Design linear control systems in Matlab. Introduction and fundamentals of Simulink. Setup and simulation parameters in Simulink. Modelling and simulations of dynamical systems in Simulink. Design and analysing of the complex control systems in Simulink. Group subsystems and map blocks in Simulink. Modelling and investigations of dynamical systems in Matlab Control Toolbox. Design and simulations of dynamical systems in Simulink. Design of linear control system with structurally unstable control plant in Matlab/Simulink. PID and LQR control design.
      Teaching methods PowerPoint presentations, Matlab/Simulink software, Matlab/Simulink Toolboxes, project examples, MathWorks help, text books, other documents given by the teacher
      Assesment methods lecture – written exam, project – project completion, presentation and discussion, performance of the project
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 knowledge and solving of differential equations with using Matlab/Simulink;
      LO2 modelling and solving of linear dynamic systems with Matlab/Simulink;
      LO3 knowledge of methods of designing control plants in the Matlab/Simulink program;
      LO4 practical skills needed to develop and calculate the modelling and control design problems with support of Matlab/Simulink;
      LO5 skills and knowledge acquired to a practical, hands-on project, linear control design methods with Matlab/Simulink;
      LO6 demand for cooperation with other student within group, as well as an increased awareness of its vital importance for development.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written exam, project evaluation, activity on project classes L, P
      LO2 written exam, project evaluation, activity on project classes L, P
      LO3 written exam, project evaluation, activity on project classes L, P
      LO4 written exam, project evaluation, activity on project classes L, P
      LO5 written exam, project evaluation, activity on project classes L, P
      LO6 student activity on project classes P
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in classes, laboratory classes, etc. 30
      preparation for classes, laboratory classes, projects, seminars, etc. 42
      working on projects, reports, etc. 12
      participation in student-teacher sessions related to the classes/seminar/project 4
      implementation of project tasks and preparation for and participation in exams/tests 48
      TOTAL: 166
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 66 2.5
      Quantitative indicators 110 4
      Basic references
      1. Tewari A.: Modern Control Design with Matlab and Simulink. Wiley-IEEE Press, 2001.
      2. Ogata K.: Modern Control Engineering, 4th edition. Pearson Education International, 2002.
      3. Hahn B., Valentine D. T.: Essential Matlab for Engineers and Scientists, 3rd edition. Elsevier Science & Technology Books, 2007.
      Supplementary references
      1. Bequette B. W.: Process Control, Modeling, Design and Simulation. Prentice Hall, 2003.
      2. Dorf R. C., Bishop R. H.: Modern Control Systems, 10th Edition. Prentice Hall, 2005.
      3. The MathWorks, Control System ToolboxTM User’s Guide, 8th ed., 2009.
      4. www.mathworks.com.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Assoc Prof. Arkadiusz Mystkowski, PhD, DSc, Eng 25.03.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Modern Control of Mechatronics Systems Course code IS-FEE-10066S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 15 No. of ECTS credits 5
      Entry requirements
      Course objectives This course deals with the study of control theory including advanced robust optimal methods, such as H-infinity, mu-Synthesis, LMI, mixed-sensitivity, loop-shaping, uncertain systems, nonlinear observers, feedback linearization, control Lyapunov functions. Moreover, these designs with its applications to the mechatronics systems, including electro-drives, electrical circuits, electro-mechanical, electro-pneumatics, and hydraulics. Major course topics include knowledge of linear/nonlinear and applications engineering principles and methodologies used to solve advanced problems in control systems.
      Course content Principle subject outcomes include sensitivity and complementary sensitivity functions, H-2 and H-inf spaces. Dynamic systems with linear-parameter-varying. Design of structured and unstructured uncertainty. Robustness, small-gain theorem. Linear fractional transformation. Optimal control with H-2 or H-infinity. Mu-synthesis control. System order minimization. Stability of the nonlinear control systems according to control Lyapunov functions.
      Teaching methods PowerPoint presentations, Matlab/Simulink software, Matlab/Simulink Toolboxes, project examples, MathWorks help, text books, other documents given by the teacher
      Assesment methods lecture – written exam, project – project completion, presentation and discussion, performance of the project
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 basic knowledge of robust control design and application including optimal control, LFT models, and LPV systems;
      LO2 basic knowledge of system order reduction and minimization methods, calculating of the system’s norms;
      LO3 practical skills of stability calculating and control performance index for closed-loop dynamic systems;
      LO4 practical skills needed to develop and calculate the modelling of the uncertain systems and robustness;
      LO5 skills and knowledge acquired to numerical calculations and simulation of linear/nonlinear control system using Matlab/Simulink;
      LO6 demand for cooperation with other student within group, as well as an increased awareness of its vital importance for development;
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written exam, project evaluation, activity on project classes L, P
      LO2 written exam, project evaluation, activity on project classes L, P
      LO3 written exam, project evaluation, activity on project classes L, P
      LO4 written exam, project evaluation, activity on project classes L, P
      LO5 written exam, project evaluation, activity on project classes L, P
      LO6 student activity on project classes P
      Student workload (in hours) No. of hours
      Calculation lecture attendance 15
      participation in classes 15
      preparation for projects 30
      working on projects, reports, etc. 40
      participation in student-teacher sessions related to the project 2
      preparation to the exam 23
      TOTAL: 125
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 38 1.5
      Quantitative indicators 85 3
      Basic references
      1. Isidori A.: Nonlinear control systems. Springer 1996.
      2. Marino R., Tomei P.: Nonlinear control design. Prentice Hall, 1995.
      3. Zhou K., Doyle J. C.: Essentials of robust control. Prentice Hall, 1998.
      4. Freeman R. A., Kokotović P. V.: Robust nonlinear control design, state-space and Lyapunov techniques. Birkhäuser, 2008.
      5. Ogata K.: Modern Control Engineering, 4th ediiton. Pearson Education International, 2002.
      Supplementary references
      1. Dorf R. C., Bishop R. H.: Modern Control Systems, 10th Edition. Prentice Hall, 2005.
      2. Tewari A.: Modern Control Design With Matlab and Simulink. Wiley-IEEE Press, 2001.
      3. Bequette B. W.: Process Control, Modeling, Design and Simulation. Prentice Hall, 2003.
      4. Potvin A. F.: Nonlinear Control Design Toolbox. The MathWorks, Inc., Natick, MA., 1994.
      5. The MathWorks: Control System ToolboxTM User’s Guide, 8th ed., 2009.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Assoc. Prof. Arkadiusz Mystkowski, PhD, DSc, Eng 25.03.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Vector, Raster Computer Graphics and Visualization Course code IS-FEE-10067S
      Course type elective course
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 3
      Entry requirements Introduction to Information Technology
      Course objectives To provide the students with knowledge of computer graphics and visualization. The student will learn how to use Corel Graphics Suite programs (Corel Draw – for vector graphics and Corel Photo Paint – for raster graphics) and Adobe Photoshop (for raster graphics). The student will learn how to use SolidWorks (with toolboxes SW PhotoView 360 and SW Visualize) for visualization 3D objects. The practical skills will allow for self-realization of 2D and 3D computer graphics for didactic and technical purposes.
      Course content Using programs for designing and editing vector and raster graphics (CorelDraw, Corel Photo-Paint, Adobe Photoshop) and engineering environment for creating visualization 3D graphics (SolidWorks with toolboxes PhotoView 360 and SW Visualize). Students will be perform graphical project of the multifaceted advertising campaign for new technical product in the form of the book of visual identification. To development a final project will be using vector and raster 2D computer graphics and technics of modelling, texturing and rendering 3D graphics.
      Teaching methods project: work in groups, homework assignments self-study under supervision: tutorial sessions with worked examples
      Assesment methods Elaboration of project + observation of work during classes
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 student: is able to characterize basic of design vector and raster 2D computer graphics and methods of solid modelling 3D object;
      LO2 is able to create 2D vector graphics in Corel Draw program;
      LO3 is able to create 2D raster graphics in Corel Photo Paint and Adobe Photoshop programs;
      LO4 is able to basis modelling 3D in SolidWorks and technics of visualization object with textures, lights, shadows, cameras;
      LO5 is able to rendering 3D object in SolidWorks PhotoView 360 and SW Visualize;
      LO6 is able to work in groups.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 elaboration of project + observation of work during classes P
      LO2 elaboration of project + observation of work during classes P
      LO3 elaboration of project + observation of work during classes P
      LO4 elaboration of project + observation of work during classes P
      LO5 elaboration of project + observation of work during classes P
      LO6 elaboration of project + observation of work during classes P
      Student workload (in hours) No. of hours
      Calculation participation in classes work 30
      preparation for projects 35
      working on individual project task 10
      participation in student-teacher sessions related to project 2
      TOTAL: 77
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 77 3
      Basic references
      1. Blundel B. G.: An Introduction to Computer Graphics and Creative 3-D Environments. Springer, 2008.
      2. Kipphan H.: Handbook of Print Media. Springer, 2001.
      3. Hughes J. F., Feiner S. K., Foley J. D., Akeley K., McGuire M., Dam A. V., Sklar D. F.: Computer graphics: principles and practice. 2013.
      Supplementary references
      1. Vince J.: Geometry for Computer Graphics: Formulae, Examples and Proofs. Springer, 2004.
      2. Hearn D., Baker P.: Computer Graphics. Prentice Hall, New Delhi, 2007.
      3. Kiciak P.: Basis of modelling curves and planes, using in computer graphics. WNT, Warsaw 2000 (in Polish).
      4. Internet, http://wikipedia.org
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Ph.D., Eng. Roman Trochimczuk 18.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name 3D – Modelling and Computer Animation Course code IS-FEE-10068S
      Course type elective course
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 3
      Entry requirements Introduction to Information Technology
      Course objectives To provide the students with knowledge of 3D modelling and computer animation (CGI – Computer Graphics Imaging). The student will learn how to use Anim8or program to create 3D animations. The practical skills will allow for self-realization of computer animation for didactic and technical purposes.
      Course content Principles of computer animation. Modelling objects and elements of a scene using curves, surfaces and solid elements. Sequence of motion. The relationship between bones and skeleton. Generation of the trajectory of an animated object. Scene settings (lights, cameras, shadows, materials). Morfing, warping, particle systems. Rendering.
      Teaching methods project: work in groups, homework assignments, self-study under supervision: tutorial sessions with worked examples
      Assesment methods elaboration of project + observation of work during classes
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 student: is able to classify and characterize basic of computer animation;
      LO2 describes fundamental principles of computer animation;
      LO3 is able to create a 3D model and sequence of motion in Anim8or program;
      LO4 is able to modeling a 3D animated object with materials, lights, shadows, cameras;
      LO5 is able to modeling a 3D animated object with morfing, warping and particle systems;
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 elaboration of project + observation of work during classes P
      LO2 elaboration of project + observation of work during classes P
      LO3 elaboration of project + observation of work during classes P
      LO4 elaboration of project + observation of work during classes P
      LO5 elaboration of project + observation of work during classes P
      Student workload (in hours) No. of hours
      Calculation participation in project 30
      preparation for projects 25
      working on individual project task 20
      participation in student-teacher sessions related to project 2
      TOTAL: 77
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 77 3
      Basic references
      1. Blundel B. G.: An Introduction to Computer Graphics and Creative 3-D Environments. Springer, 2008.
      2. Kipphan H.: Handbook of Print Media. Springer, 2001.
      3. Byrne M. T.: Animation. The art of Layout and Storyboarding. Leixlip, Co. Kildare, Ireland, 1999.
      4. Parent R.: Computer Animation: Algorithms and Techniques. Newnes, 2012.
      Supplementary references
      1. Kiciak P.: Basis of modeling curves and planes, using in computer graphics. WNT, Warsaw 2001 (in Polish).
      2. Thomas F., Johnson O.: Disney animation – the illusion of life. Walt Disney Production 1981
      3. Internet, http://wikipedia.org
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Ph.D., Eng. Roman Trochimczuk 18-02-2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Computer-Based Measurement Systems Course code IS-FEE-10069S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 30 No. of ECTS credits 4
      Entry requirements Signals Theory or equivalent
      Course objectives To familiarize students with the methods and ways of measurements of physical quantities using the computer-based measurement system. Presentation of the methods of measurement signals processing, their acquisition and graphical representation.
      Course content Lecture: Fundamental measurement signals and sensors used in automation. Characteristics of measurement signals. Filtration methods and analysis of measurement errors. The rules of a program implementation in the LabView environment. The basic blocks of the Labview package. Control of measuring devices by a computer. Acquisition of measurement data. Analysis and presentation of data. Graphical user interface. Project: Measurement, acquisition and representation of real digital and analogue signals. Selection of measurement methodology and of construction of filters applied to measurement signals. Creating dedicated applications for acquisition, processing and representation of measurement signals.
      Teaching methods PowerPoint presentations, LabView software, instructions
      Assesment methods lecture – written test; project – project implementation, presentation and discussion
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 lists, classifies and characterizes measurement signals and elements of a computer measuring system;
      LO2 selects a proper method for measurement of elementary physical parameters;
      LO3 presents properly measurement results;
      LO4 is able to implement designed algorithms for acquisition and processing of measurement signals.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written test L
      LO2 L: written test, P: project evaluation, activity on classes L, P
      LO3 L: written test, P: project evaluation, activity on classes L, P
      LO4 P: project evaluation, activity on classes P
      Student workload (in hours) No. of hours
      Calculation participation in lectures 15
      participation in project classes 30
      preparation for exams/tests 15
      working on projects, reports, etc. 45
      participation in consultations 3
      TOTAL: 108
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 48 1.5
      Quantitative indicators 78 3
      Basic references
      1. Training materials of National Instuments (online).
      2. Ponce-Cruz P., Ramírez-Figueroa F. D.: Intelligent control systems with LabVIEW. London, Springer-Verlag, 2010.
      3. Clark Cory L.: LabView digital signal processing and digital communication. McGraw-Hill, New York, 2005.
      4. Walczak J., Grabowski D., Maciążek M.: Introduction to digital signal processing. Gliwice : Wydaw. Politechniki Śląskiej, 2013.
      Supplementary references
      1. LabView Core 1 and 2, course manual and exercises. National Instruments Corporation, 2009.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Michał Ostaszewski, PhD 17.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Visualization of Industrial Processes Course code IS-FEE-10070S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      15 30 No. of ECTS credits 4
      Entry requirements
      Course objectives Introduction to the visualization systems used in industrial applications on the example of SCADA – Wonderware InTouch software.
      Course content Lecture: Introduction to Supervisory Control And Data Acquisition systems: evolution, classification, types, characteristics. SCADA-HMI systems architecture: functions, capabilities (data processing, data recording, alarming, security). Communication in SCADA-HMI systems: DDE protocol, OPC protocol. Examples of SCADA-HMI systems. Project: Project in the InTouch environment: visualisation windows, tags and animation links, scripts and QuickScript, alarming, historic and real-time trends, communication with DDE protocol (external applications), communication with PLC controllers, project publication.
      Teaching methods PowerPoint presentations, Wonderware System Platform software, instructions
      Assesment methods lecture – written test; project – project implementation, presentation and discussion
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 knows and understands architecture of SCADA-HMI systems;
      LO2 knows and understands functions and tasks fulfilled by SCADA-HMI systems;
      LO3 knows programming languages suitable for SCADA systems;
      LO4 can design efficient visualisation system of given technological process;
      LO5 can configure scripts and implementation them in visualization systems;
      LO6 can create individual and team projects.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written test L
      LO2 written test L
      LO3 written test L
      LO4 project evaluation, activity on classes P
      LO5 project evaluation, activity on classes P
      LO6 project evaluation, activity on classes P
      Student workload (in hours) No. of hours
      Calculation participation in lectures 15
      participation in project classes 30
      preparation for exams/tests 15
      working on projects, reports, etc. 45
      participation in consultations 2
      TOTAL: 107
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 48 1.5
      Quantitative indicators 77 3
      Basic references
      1. Wonderware ArchestrA System Platform in a Virtualized Environment Implementation Guide, 2014.
      2. InTouch HMI Getting Started Guide, 2014.
      3. InTouch HMI Scripting and Logic Guide, 2008.
      4. Wonderware OPCLink, 2003.
      5. Guyer J. P.: An Introduction to Fundamentals of SCADA Systems. 2017.
      Supplementary references
      1. Boyer S. A.: SCADA: Supervisory Control and Data Acquisition. 2004.
      2. Wright E.: Practical SCADA for Industry. 2003.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Michał Ostaszewski, PhD 17.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Fundamentals of Electrical Problem Oriented Programming Course code IS-FEE-10071S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 3
      Entry requirements
      Course objectives To introduce students to the basics of algorithms, Matlab program and programming in C language. To receive the abilities to design the algorithm and use special software for the analysis of electrical circuits. Developing the skills of computer algorithms designing and implementing them in the form of Matlab program and program in C language. Teaching students how to design and solve a problem of electrical circuits using Matlab program and Microsoft Visual C++ or Dev C++.
      Course content Algorithm description methods. Block diagrams. Application of Matlab program to solve simple problems related to electrical engineering. Introduction to Matlab program (general structure of the program, arithmetic operations on real and complex numbers, operations on arrays and matrices, writing functions and scripts, execution and formatting of function graphs). Application programming in C language to solve simple problems related to electrical engineering. Introduction to: the structure of the program using C programming, terminology, data types, mathematical operations on variables, arrays, creating functions, using argument to functions.
      Teaching methods specialization workshop
      Assesment methods two practical tests, evaluation of computer programs, verification of preparation for classes, project completion, discussion
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 uses basic Matlab operations;
      LO2 uses basic operation in C language;
      LO3 creates and writes scripts and functions in Matlab program solve the electrical engineering problems;
      LO4 creates and writes computes program in C language solve the electrical engineering problems.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 tests SW
      LO2 tests SW
      LO3 evaluating the student’s computer programs and project SW
      LO4 evaluating the student’s computer programs and project SW
      Student workload (in hours) No. of hours
      Calculation attending the class sessions 30
      preparation for workshop activities 10
      working on homework 20
      preparation for practical tests 15
      participation in student-teacher sessions 5
      TOTAL: 80
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 35 1.5
      Quantitative indicators 80 3
      Basic references
      1. Gilat A., Subramaniam V.: Numerical methods for engineers and scientists: an introduction with applications using MATLAB. John Wiley & Sons, Hoboken, 2011.
      2. Prata S.: C Primer Plus (6th Edition) (Developer’s Library). Addison-Wesley Professional, 2013.
      3. Elsherbeni A. Z., Demir V.: The finite-difference time-domain method for electromagnetics with MATLAB simulations. SciTech Publishing, Raleigh, 2009.
      Supplementary references
      1. Mathews J. H., Fink K. D.: Numerical methods using MATLAB. Pearson Education, 2004.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Agnieszka Choroszucho, Ph.D. Eng. 27.02.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type bachelor’s degree
      Specialization/ diploma path Study profile
      Course Name Programmable Logic Controllers Course code IS-FEE-10072S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 45 No. of ECTS credits 6
      Entry requirements Computer Programming or equivalent
      Course objectives This course deals with the study of engineering principles and methodologies used to design, configure and programming of PLC controllers. Emphasis is placed on hardware configuration and software engineering. Principle of PLC operation. PLC of various manufactures. Programming languages: STL (ST, IL), LAD and FBD. A structured approach to combination and sequential control design. Programming of binary and analog control systems. Before attendance of this course, students should have basic knowledge of computer programming.
      Course content Principle of PLC operation, definitions and terms. PLC cycle of operation. Knowledge of PLC modules. A/D and D/A PLC converters. Programming and logical structure of PLC. PLC data addressing, data types and memory management. Programming languages STL (ST, IL), FBD and LAD. Programming elements. Logic gates. Binary codes. Logic control instructions, data block instructions, counter instructions, timer instructions, math instructions, load and transfer (move) instructions, program control commands and comparison instructions. Digital control algorithms PID and PIDD. Principle of distributed control systems.
      Teaching methods Power Point presentations, PLC programming software, PLC simulators, text books and other technical data
      Assesment methods lecture – written exam, project – project completion, presentation and discussion, performance of the project, defence of project
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 basic knowledge of PLC logic operations with STL (ST, IL), LAD and FBD languages;
      LO2 knowledge of defining of the PLC functions and logic operations;
      LO3 knowledge of PLC hardware with modules, PLC cycle operation and PLC work principle;
      LO4 practical skills to programming of PLC logic operations with embedded functions, and PID and PIDD digital PLC-oriented control algorithms;
      LO5 ability and skills to set-up run-on and testing PLC control binary algorithms;
      LO6 workgroup and cooperation skills, team work and project management, and demand for permanent education.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 written exam, project evaluation, activity on project classes L, P
      LO2 written exam, project evaluation, activity on project classes L, P
      LO3 written exam, project evaluation, activity on project classes L, P
      LO4 written exam, project evaluation, activity on project classes L, P
      LO5 written exam, project evaluation, activity on project classes L, P
      LO6 student activity on project classes P
      Student workload (in hours) No. of hours
      Calculation lecture attendance 30
      participation in classes, laboratory classes, etc. 45
      preparation for classes, laboratory classes, projects, seminars, etc. 22
      working on projects, reports, etc. 18
      participation in student-teacher sessions related to the classes/seminar/project 5
      implementation of project tasks and preparation for and participation in exams/tests 35
      TOTAL: 155
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 80 3
      Quantitative indicators 120 4
      Basic references
      1. Bryan L. A., Bryan E. A.: Programmable controllers, theory and implementation, an Industrial Text Company Publication, Second Edition. Atlanta Georgia USA, 1997.
      2. Kwasniewski J.: Programmable Logic Controllers. Roma-Pol, Krakow, 2002.
      3. Hugh J.: Automating Manufacturing Systems with PLCs. E-book, Ver. 5.0, 2007.
      4. IEC 61131 (Part 1, 2 and 3), IEC standard for Programmable Controllers.
      Supplementary references
      1. Bolton W.: Programmable Logic Controllers, 5th Edition. Elsevier, ISBN-10: 1856177513, 2009.
      2. Keith C. J.: The PLC Workbook: Programmable Logic Controllers made easy. 1996.
      3. Lewis R. W.: Programming industrial control systems using IEC 1131-3.
      Organisational unit conducting the course Department of Automatic Control and Robotics Date of issuing the programme
      Author of the programme Assoc Prof. Arkadiusz Mystkowski, PhD, DSc, Eng 22.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type master’s degree
      Specialization/ diploma path Study profile
      Course Name Antennas and Propagation Course code IS-FEE 20006S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 15 No. of ECTS credits 4
      Entry requirements High Frequency Techniques or equivalent.
      Course objectives The aim of the course is to acquaint the students with radiation, transmission and reception of electromagnetic waves, with particular emphasis on the different antenna designs and applications of antennas in wireless communication systems. Training skills for using of software for computer-aided analysis and design of consumer antennas, taking graphical environment 4NEC2 as an example.
      Course content Classification and properties of antennas. Basics of radiation theory. Radiation pattern, antenna parameters. Range equation. Electromagnetic field radiated by elementary antennas: Hertz dipole and magnetic dipole. Radiation field of a symmetric thin-wire antenna. Features of a short dipole. Antennas over a ground plane. Feeding of wire antennas, impedance matching, baluns. Antenna arrays, phased arrays. Wire reflectors and directors, Yagi-Uda antennas. Travelling-wave antennas. Frequency-independent and log-periodic antennas. Aperture antennas. Radiation patterns of nonuniform feeded arrays and aperture antennas. Horn antennas, parabolic-reflector antennas, lens antennas. Radiation from microstrips and slots. Antennas in consumer appliances. Propagation of electromagnetic waves in the Earth’s atmosphere, urban and country areas. Wave propagation in different frequency bands.
      Teaching methods lecture, specialization workshop
      Assesment methods lecture: oral exam; specialization workshop: verification of preparation for workshop, evaluation of reports, completion, presentation and discussion of a final project
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 has detailed knowledge on basic structures of antennas, applied, among others, in wireless communication systems;
      LO2 has knowledge on transmission of electromagnetic waves in wireless systems and networks;
      LO3 has knowledge on developments in the field of antenna design;
      LO4 can obtain information from the literature and other sources, also in a foreign language, can interpret the information and draw conclusions;
      LO5 can work individually and in a small team;
      LO6 can develop documentation on a project task;
      LO7 can prepare and give a presentation on the results of a project task.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 exam, evaluation of the student’s performance during workshops L, SW
      LO2 exam, evaluation of the student’s performance during workshops L, SW
      LO3 exam, evaluation of the student’s performance during workshops L, SW
      LO4 exam, evaluation of the student’s performance during workshops L, SW
      LO5 evaluation of the student’s performance during workshops SW
      LO6 evaluating the student’s project and reports SW
      LO7 evaluating a presentation on the results of a project task SW
      Student workload (in hours) No. of hours
      Calculation attending the class sessions 30
      preparation for specialization workshop 15
      work on presentations 15
      preparation for and participation in exams/tests 5
      work on reports from workshop classes and/or work on home assignments 20
      participation in student-teacher sessions related to lectures and workshops 5
      preparation for and attendance at the final test from lectures 10
      TOTAL: 100
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 50 2
      Quantitative indicators 60 2.5
      Basic references
      1. Milligan T. A.: Modern antenna design. IEEE Press, J. Wiley Interscience, 2005.
      2. White J. F.: High frequency techniques – an introduction to RF and microwave engineering. J. Wiley Interscience, 2004.
      3. Collin R. E.: Antennas and radiowave propagation. McGraw-Hill, 1985.
      Supplementary references
      1. Hickman I.: Practical radio frequency handbook. Newnes, 2002.
      2. IEEE Antennas and Propagation Magazine.
      3. IEEE Microwave Magazine.
      4. Aniserowicz K.: Lecture notes.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme prof. Karol Aniserowicz 26.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type master’s degree
      Specialization/ diploma path Study profile
      Course Name Electromagnetic Compatibility Course code IS-FEE 20007S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 15 No. of ECTS credits 4
      Entry requirements
      Course objectives Knowledge on basic phenomena related to generation, propagation and effects of electromagnetic disturbances. Knowledge on methods of EMC (Electromagnetic Compatibility) testing, both in immunity and emission, and basic characteristics of EMC test equipment. Skils of using EMC equipment and performing basic EMC and related supplementary tests and measurements. Skills of proper illustration, interpretation and assessment of the test results. Working on EMC testing in a team.
      Course content Introduction to EMC (Electromagentic Compatibility), EMC standards. Sources of electromagnetic disturbances, their characteristics and related threat. Basic principles of disturbing effects of various electromagnetic signals, electromagnetic couplings. EMC testing of immunity of electronic and electrical equipment to electromagnetic disturbances (principles, test set-ups and equipment, test levels). EMC testing of electromagnetic emissions from electronic and electrical equipment (principles, test set-ups and equipment, acceptable levels). Screening efficency. Practical aspects of electromagnetic compatibility.
      Teaching methods lecture, laboratory class
      Assesment methods lecture – written or oral exam; laboratory class – evaluation of student’s reports, verification of preparation for classes
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 characterizes phenomena of generation, propagation and effects of electromagnetic disturbances on electronic and electrical equipment; characterizes methods of EMC testing and basic test equipment;
      LO2 conducts selected EMC tests and related supplementary tests or measurements;
      LO3 plans and prepares protocols that document the conducted EMC tests and measurements;
      LO4 illustrates and analyses the results of the EMC tests and measurements;
      LO5 interprets, compares and assesses the results of the EMC tests and measurements;
      LO6 refers EMC problems to relevant standards;
      LO7 applies rules of safety and hygiene of work.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 exam on lecture content, verification of preparation for laboratory classes L, LC
      LO2 evaluation of student’s reports and performance at classes LC
      LO3 evaluation of student’s reports and performance at classes LC
      LO4 evaluation of student’s reports LC
      LO5 evaluation of student’s reports LC
      LO6 exam on lecture content, evaluation of student’s reports and performance at classes LC, L
      LO7 evaluation of student’s reports and performance at classes LC
      Student workload (in hours) No. of hours
      Calculation attending the lecture 30
      participation in laboratory classes 15
      preparation for laboratoratory classes 15
      work on reports from laboratory classes 25
       preparation for and participation in /tests and exam 15
      TOTAL: 100
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 45 1.5
      Quantitative indicators 65 2.5
      Basic references
      1. Milligan T. A.: Modern antenna design. IEEE Press, J. Wiley Interscience, 2005.
      2. White J. F.: High frequency techniques – an introduction to RF and microwave engineering. J. Wiley Interscience, 2004.
      3. Collin R. E.: Antennas and radiowave propagation. McGraw-Hill, 1985.
      Supplementary references
      1. Hickman I.: Practical radio frequency handbook. Newnes, 2002.
      2. IEEE Antennas and Propagation Magazine.
      3. IEEE Microwave Magazine.
      4. Aniserowicz K.: Lecture notes.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Renata Markowska 26.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type master degree
      Specialization/ diploma path Study profile
      Course Name Photonics Course code IS-FEE-20008S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 15 No. of ECTS credits 4
      Entry requirements Basics of photonics
      Course objectives Acquainting students with the optical phenomena in semiconductors, glasses and photonics structures. Teaching the rules of the use of quantum wells in semiconductor emitters and detectors of radiation. Introduction to selected photonics structures and phenomena occurring in them. Teaching the measurement methods of properties of both photonic components and layouts. Presentation of modern trends in development of photonics. Introduction to selected non-linear optical elements.
      Course content The basics of the optical phenomena in semiconductors, glasses, photonic structures and optical waveguides. Low dimensional structures – the principle of the use of quantum wells in semiconductor emitters of radiation. Basics of wave optics. Periodic optical structures – a construction of selected elements, The construction and selected applications of the matrix of sources and detectors with low-dimensional structures. The phenomenon of optical bistability. Spectroscopy of optical materials, absorption – luminescence. Nonlinear phenomena.
      Teaching methods laboratory classes, specialization workshop, projects’ reports
      Assesment methods tests; laboratory classes – evaluation of reports, verification of preparation for classes, presentation and discussion
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 has detailed knowledge of photonics;
      LO2 explains optical phenomena occurring in semiconductors and photonic structures;
      LO3 measures and analyzes the properties of semiconductor emitters of radiation;
      LO4 measures and analyzes the spectroscopic properties of materials used in photonics.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 evaluation of the report on exercise, a discussion during the laboratory classes and specialization workshop LC, SW
      LO2 evaluation of the report on exercise, a discussion during the laboratory classes and specialization workshop LC, SW
      LO3 evaluation of the report on exercise, a discussion during the laboratory classes and specialization workshop LC, SW
      LO4 evaluation of the report on exercise, a discussion during the laboratory classes and specialization workshop LC, SW
      Student workload (in hours) No. of hours
      Calculation laboratory classes and workshop sessions attendance 45
      preparation for laboratory classes and workshop sessions 15
      working on projects, reports, etc. 10
      participation in student-teacher sessions related to the classes/seminar/project 5
      preparation for and participation in exams/tests 5
      TOTAL: 80
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 50 2
      Quantitative indicators 80 3
      Basic references
      1. Kasap S.: Cambridge illustrated handbook of optoelectronics and photonics. Cambridge University Press, 2012.
      2. Deen M. J., P.K. Basu P. K.: Silicon photonics: fundamentals and devices. Chichester, John Wiley & Sons, 2012.
      Supplementary references
      1. Tkachenk N. V.: Optical Spectroscopy. Elsevier, 2006.
      Organisational unit conducting the course Department of Photonics, Electronics and Lighting Technology Date of issuing the programme
      Author of the programme Marcin Kochanowicz, PhD, DSc 26.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type master’s degree
      Specialization/ diploma path Study profile
      Course Name Master Thesis Course code IS-FEE 20010S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      No. of ECTS credits 20
      Entry requirements 2 or 3 semesters passed at master level
      Course objectives
      Course content Depending of the topic of master thesis.
      Teaching methods Individually plans the solution of research problem, specifying its manner and duration.
      Assesment methods Evaluation of the work by the supervisor and reviewer and thesis defense.
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 individually plans the solution of research problem, specifying its manner and duration;
      LO2 van obtain knowledge from literature sources (including publications gathered in scientific databases), and evaluate its usefulness to solve chosen technical problem;
      LO3 develops methodology of research, carries out research, prepares elaboration containing research documentation and verification of the results;
      LO4 has the ability to raise qualifications required to introduce new elements to the solution presented in the thesis;
      LO5 formulates specific objectives of the research task, proposing a solution of the problem based on the interdisciplinary knowledge and systemic approach;
      LO6 can suggest improvements to existing technical solutions and presents innovative elements of the solution of the problem;
      LO7 can evaluate the innovativeness of used devices and technical methods used to carry out the work;
      LO8 understands his role in society and the need to promote the achievements in the field of technical sciences;
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 positive evaluation of the thesis and the positive result of defense
      LO2 positive evaluation of the thesis and the positive result of defense
      LO3 positive evaluation of the thesis and the positive result of defense
      LO4 positive evaluation of the thesis and the positive result of defense
      LO5 positive evaluation of the thesis and the positive result of defense
      LO6 positive evaluation of the thesis and the positive result of defense
      LO7 positive evaluation of the thesis and the positive result of defense
      LO8 positive evaluation of the thesis and the positive result of defense
      Student workload (in hours) No. of hours
      Calculation realization of master thesis project 400
      preparation for the final exam 65
      elaboration of the final presentation 35
      TOTAL: 500
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 0 0
      Quantitative indicators 500 20
      Basic references
      1. related to the topic of the master thesis
      Supplementary references
      1. related to the topic of the master thesis
      Organisational unit conducting the course All units of the Faculty of Electrical Engineering Date of issuing the programme
      Author of the programme 26.01.2020

      COURSE DESCRIPTION CARD
      Faculty of Electrical Engineering
      Field of study Electrical and Electronics Engineering Degree level and programme type master degree
      Specialization/ diploma path Study profile
      Course Name Numerical Design and Analysis of Metamaterials Course code IS-FEE-20014S
      Course type elective
      Forms and number of hours of tuition L C LC P SW FW S Semester summer
      30 No. of ECTS credits 3
      Entry requirements
      Course objectives To introduce students to the basics of metamaterial terminology and characterization techniques. To receive an ability of designing functional structures using the transformation optics method. To apply the scattering matrix method for extraction of composite effective parameters. To acquaint students with computations of physical fields using numerical-analysis software. To teach students how to synthesize metamaterial structure utilizing layered composites.
      Course content Terminology, definitions, classification of electromagnetic composites. Characterization of some thermal, DC electric and magnetic as well as microwave metamaterials. Analytic and iterative design techniques of structures and systems requiring complex materials. Introduction to numerical-analysis software and 3D CAD modeling in computational electromagnetics. Homogenization techniques: effective properties identification of composite materials using simulation software. Physical field computations and analysis.Self-working on some problems in design of metamaterials with specified properties/characteristics.
      Teaching methods specialization workshop
      Assesment methods verification of preparation for classes, written reports, project completion, discussion
      Symbol of learning outcome Learning outcomes Reference to the learning outcomes for the field of study
      LO1 uses proper definitions and concepts related to metamaterials, numerical models and field analysis;
      LO2 describes the structure, parameters and properties of composite material with relation to specified applications;
      LO3 designs metamaterial structures using introduced methods;
      LO4 creates and computes numerical models of some metamaterials;
      LO5 discusses critically the construction of numerical model and computation results.
      Symbol of learning outcome Methods of assessing the learning outcomes Type of tuition during which the outcome is assessed
      LO1 personal assessment, short tests SW
      LO2 written reports, evaluating the student’s solution of specified project SW
      LO3 written reports, work assessment during classes SW
      LO4 evaluating the student’s solutions of specified problems, written reports SW
      LO5 evaluating the student’s solution of specified project, personal assessment SW
      Student workload (in hours) No. of hours
      Calculation preparation for workshop 5
      working on reports 10
      working on projects 30
      workshop attendance 30
      TOTAL: 75
      Quantitative indicators HOURS No. of ECTS credits
      Student workload – activities that require direct teacher participation 30 1
      Quantitative indicators 75 3
      Basic references
      1. Capolino F.: Metamaterials Handbook – Two Volume Slipcase Set 1st Edition. CRC Press, Boca Raton, 2009.
      2. Huang. J. P.: Theoretical Thermotics: Transformation Thermotics and Extended Theories for Thermal Metamaterials. Springer Nature, 2020.
      3. Banerjee B.: An introduction to metamaterials and waves in composites. CRC Press Taylor & Francis Group, Boca Raton, 2011.
      4. Moore R.: Electromagnetic composites handbook. McGraw-Hill Education, 2016.
      Supplementary references
      1. Han T. et al.: Full control and manipulation of heat signatures: cloaking, camouflage and thermal metamaterials. Advanced Materials 26, 2014.
      2. Han T., Qiu C.-W.: Transformation laplacian metamaterials: recent advances in manipulating thermal and DC fields. Journal of Optics 18, 2016.
      3. Cui T. J., Smith D., Liu R.: Metamaterials: Theory, Design, and Applications. Springer Science & Business Media, 2009.
      4. Pal R.: Electromagnetic, mechanical, and transport properties of composite materials. CRC Press, 2014.
      Organisational unit conducting the course Department of Electrotechnics, Power Electronics and Power Engineering Date of issuing the programme
      Author of the programme Adam Steckiewicz, PhD Eng 25.02.2020
      Na skróty
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