Overview The focal topic of the Electronic Systems Engineering Master degree program is the communication between intelligent microcontrollers incorporated in electronic equipment. These microcomputers are networked to create a complex system capable of controlling processes and exchanging information over wired or wireless communication channels. You will in the degree program advance the interaction of electronics, IT, signal processing and communication technologies, based on these autonomous microprocessors. You will broaden your background through your know-how in communication, leadership and management. Until further notice, the admissions appointments will take place at regular intervals via telephone or video conference. Applicants will be informed of details by e-mail.Contact usContact us!Katharina WagnerFavoritenstraße 226, B.3.25 1100 Vienna P: +43 1 606 68 77-2430 F: +43 1 606 68 77-2139 ese@fh-campuswien.ac.atMap main campus Favoriten (Google Maps)Office hours during the semestes:by appointmentAnrede Frau Herr Vorname *Nachname *E-Mail address *Nachricht *AbsendenIhre E-Mail wurde versendetDuration of course4 SemesterFinal degreeMaster of Science in Engineering (MSc)15Study places120ECTSOrganisational formpart-timeApplication period for academic year 2021/221st October 2020 to 2nd May 2021tuition fee / semester:€ 363,361+ ÖH premium + contribution2 1 Tuition fees for students from third countries € 727,- per semester 2 for additional study expenses (currently up to € 83,- depending on degree program and year) What you can offer Your existing technical know-how on hardware, software and system level is a good baseline, but you would like improve on that. You would like to focus especially on microprocessors, on their reliable networking and use in a variety of complex systems. You are always keen to apply new technologies. This is an advantage, especially should you be looking for the best customized IT solution for individual components or complete systems. Your methods are analytical and structured and you have a high awareness of risk. You find it easy to find links between different disciplines. You are willing to assume responsibility and regard your Master studies as a stepping stone to a leadership position. What we offer you In choosing Electronic Systems Engineering, you have opted for a technical degree program with core topics such as Electronics, Information Technology, Signal processing and Communications. The knowledge you acquire will open up a wide range of opportunities in your profession: the field includes building automation, aircraft and automobiles, the medical sector and up to monitoring and control of industrial processes. Our elaborately equipped laboratories such as the electronics and/or network laboratory offer you a quiet environment in which to gain practical experience and simulate networking of complex systems in the course of your studies - to find answers to questions arising in your Master thesis, for instance. We would furthermore appreciate your involvement in R&D projects. We would like to invite you to help shape the transfer of knowledge between praxis and research, based on the work in your degree program. What makes this degree program special The Electronic Systems Engineering Master's degree program includes research on industrial image processing applications. The ever increasing performance of processors opens up novel solutions in automatic image recognition in industry and medicine. A student has the opportunity of actively cooperating with scientists in the development of algorithms to reliably and efficiently analyze defects and anomalies in images. Our degree program also attaches great importance to linking our field of work to other technical disciplines in our department, as is also the case in practice. We are, for instance, working on controllers for six axis robots together with the High Tech Manufacturing section.Whilst High Tech Manufacturing is responsible for the mechanical robot design, Electronic Systems Engineering will integrate and implement all the control-related functions into the design. Rapid Prototyping is another field of close cooperation with this section, capturing the coordinates of three-dimensional objects and recreating an object on 3D printers. Electronic Systems Engineering controls the acquisition of object data.We can also offer students of the Electronic Systems Engineering Master's degree program the opportunity of obtaining certifications pertinent to the industry in the course of their studies. These may include the LabView certificate and PMA Project management Austria Level D. What you will learn in the degree program Know-how in hardware, software, signal processing and networking technologies is central to your Master's degree program. You will acquire social and management skills in addition. Hardware includes design and simulation techniques for the development of digital circuits as well as sensors and actuators as the interfaces to peripheral devices. The software module will teach you more about low-level programming and the use of real-time operating systems. Other focal points will be digital signal processing for the processing of sensor signals and technologies for networking of small computers. Courses on fault-tolerant systems will focus on safety-critical applications. In the area of personality development, the focus will be on social competency, from communicating skills to leadership and management know-how. Curriculum 1. Semester LectureSWSECTSActuators & Sensors VOActuators & Sensors VOLector: FH-Prof. DI Gerhard Engelmann, FH-Prof. Dipl.-Ing. Markus Wellenzohn1SWS2ECTSLecture contents- Physical fundamentals - Different principles of sensors for the measurement of non-electric quantities - Methods to avoid/compensate interfering factors such as non-linearities or temperature-dependencies - Different principles of actuatorsAssessment methodsWritten exam at the end of the course.Teaching methodsPresentation with laptop and beamer, additional explanations on whiteboard.LanguageGerman12Embedded Operating Systems ILVEmbedded Operating Systems ILVLector: Dipl.-Ing. Joseph Gernot Otto Wenninger4SWS6ECTS46Hardware Design VOHardware Design VOLector: Dipl.-Ing. Gerald Renner2SWS4ECTSLecture contents- Process of transfering customer request to system design of a product - Functional partitioning of the sytem to modules and definition of the interfaces between these modules - Design concepts for common used hardware function blocks such as power supplies and power stage - Hardware and Software design splitting - Estimations for capacity needs and costs in respect to design steps - Requirements for testing, production and service for the modules and setAssessment methodsExam at the End Contribution in the lessons Presentations Working in groupsTeaching methods- Lecture - Analysis of physical devices - Working in groups - Presentations - Self-studyLanguageGerman-English24Hardware-related Programming ILVHardware-related Programming ILVLector: Ing. Philipp Grassl, MSc4SWS6ECTSLecture contentsRecapitulation of general C -- Tools and principles of C development -- File I/O -- Threads and processes -- Concurrency and exclusive access -- Inter-process communication -- Pipes -- Sockets -- Kernelspace and userspace -- Linux-Kernel modulesAssessment methods50% Final Test 50% Distance Learning ProjectTeaching methodsinteractive presentation with smaller exercises and a distance learning projectLanguageGerman46HDL Programming ILVHDL Programming ILVLector: FH-Prof. DI Christian Halter3SWS6ECTS36Requirements Engineering ILVRequirements Engineering ILVLector: FH-Prof. Dipl.-Ing. Herbert Paulis2SWS3ECTSLecture contentsThis lecture course gives an introduction, how requirements engineering works. All important parts of the requirement engineering will be shown and discussed by using best practice examples. The lecture course is separated into following main parts: a) Short description of the IEEE P1220 standard for requirement engineering b) Roles and responsibilities in the requirement engineering process c) Skills which are necessary for good requirement engineering d) Integration of the requirement engineering process in other (overall)Assessment methodsWritten exam at the end of the course. At least 60% are required for passing the exam.Teaching methodslectureLanguageGerman23Technical Project Management and System Design ILVTechnical Project Management and System Design ILVLector: Stefan Maximilian Suchi, BSc MSc, FH-Prof. Dr. Hans Tschürtz, MSc MSc2SWS3ECTS23 2. Semester LectureSWSECTSComputer Aided Engineering and Simulation ILVComputer Aided Engineering and Simulation ILVLector: FH-Prof. DI Gerhard Engelmann4SWS6ECTSLecture contentsIntroduction and in-depth application of - MATLAB - Simulink - LTspiceAssessment methodsIndependent work on a task in small groups with a final presentation.Teaching methods- Presentation - Supervised exercise - Independent work on a task in small groupsLanguageGerman-English46Digital Control System VODigital Control System VOLector: FH-Prof. DI Gerhard Engelmann2SWS4ECTSLecture contents- Overview to analog control systems - Structure of digital control systems - Transfer function - Stability - Discrete frequency response - Controller designAssessment methodsComputer-aided (MATLAB) written exam at the end of the course. At least 60% are necessary for successful completion of the course.Teaching methods- Lecture notes - Presentation with beamer - Solving problems using MATLAB - Discussion - Step-by-step explanation of complex contents on the whiteboardLanguageEnglish24Digital Signal Processing ILVDigital Signal Processing ILVLector: FH-Prof. DI Gerhard Engelmann4SWS6ECTSLecture contents• Basic terms and definitions • Continuous-time/discrete-time signals • Deterministic/stochastic signals • Sampling & reconstruction • Convolution, correlation • Z-Transform • Discrete-Time Fourier-Transform (DTFT) • Linear time-invariant discrete-time systems • Digital filters (FIR, IIR) • Discrete Fourier-Transform (DFT, FFT) • Window functions • Number representationsAssessment methodsComputer-aided (MATLAB) written exam at the end of the course. At least 60% are necessary for successful completion of the course.Teaching methods- Lecture notes - Presentation with beamer - Solving problems using MATLAB - Discussion - Step-by-step explanation of complex contents on the whiteboardLanguageEnglish46Real-time Operating Systems ILVReal-time Operating Systems ILVLector: Dipl.-Ing. Joseph Gernot Otto Wenninger2SWS4ECTS24Fault-tolerant Systems/Safety VOFault-tolerant Systems/Safety VOLector: DI Walter Sebron2SWS4ECTS24Innovation Management ILVInnovation Management ILVLector: Dipl.-Ing. Thomas Fiedler, Hubert Wimmer, MSc2SWS3ECTSLecture contentsLecture: Innovation in general Innovation in practice (trends, strategy, methods, implementation) Innovation toolbox Intrapreneurship in practice (implementation in the company, guest lecturer, best practices) Seminar: Innovation process at a concrete Innovation Challenge (industrial project)Assessment methodsFinal (written) examination and seminar presentationTeaching methodsLecturingLanguageGerman23Quality Assurance and Control ILVQuality Assurance and Control ILVLector: FH-Prof. Dr. Hans Tschürtz, MSc MSc2SWS3ECTS23 3. Semester LectureSWSECTSError Control Coding VOError Control Coding VOLector: DI Dr. Gabriel Maresch2SWS3ECTSLecture contentsIntroduction to Coding Theory, Elements of Information Theory, Signal Theory and Cryptography.Assessment methodsEnd-TermTeaching methodsBlended Learning using MoodleLanguageGerman-English23Digital Image Processing ILVDigital Image Processing ILVLector: FH-Prof. DI Gerhard Engelmann2SWS3ECTSLecture contents• Digital images • Histogram, Contrast • Pointoperations • Local operators (Filter) • Morphological operators • Color images, Color spaces, Color conversion • DFT in 2DAssessment methodsIndependent implementation of digital image processing algorithms.Teaching methods- Introduction to digital image processing - Examples related to digital image processing using MATLAB - Independent implementation of digital image processing algorithms for solving a given problemLanguageEnglish23EMC (Electromagnetic Compatibility) Aspects VOEMC (Electromagnetic Compatibility) Aspects VOLector: Dipl.-Ing. Dr. Kurt Lamedschwandner, MBA2SWS3ECTSLecture contentsIntroduction to electromagnetic compatibility (EMC), EMC conformity assessment, EMC design rules for printed circuit boards and devices, EMC measurement methodsAssessment methodsWritten exam (50 %) and home assignment (50 %)Teaching methodsLecture and supervision of a home assignment23Interdisciplinary Project UEInterdisciplinary Project UELector: Dipl.-Ing. Manuel Koschuch, Bakk.techn., Julia Teissl, BSc MSc4SWS9ECTSLecture contentsSummary of the essential aspects of project- and process-management, as well as system safety, and their practical meaning in concrete examples. Clarification of the differences between safety and security, and of the interfaces between these two areas. Diskussion and reflection of the insights from practical application of the above concepts.Assessment methodsAssessment of the submitted implementation and the presentations.Teaching methodsImplementing and presenting a practical example in small groups.LanguageGerman49Mobile and Embedded Security Exercise UEMobile and Embedded Security Exercise UELector: DI Mathias Tausig1SWS2ECTS12Mobile and Embedded Security VOMobile and Embedded Security VOLector: FH-Prof. DI Gerhard Engelmann, Silvia Schmidt, MSc BSc, DI Mathias Tausig2SWS3ECTSLecture contentsASN.1 Smartcards Constrained Networking Mobile Authentication RIOT-OS Secure Firmware Update Internet-of-Things (IoT-Security) Overview Embedded CAssessment methodsIntermediate tests, distance/remote learning, final exam.Teaching methodsLectures and remote/distance learning English slidesLanguageEnglish23Signal Transmission Techniques and Systems ILVSignal Transmission Techniques and Systems ILVLector: DI (FH) Peter Krebs3SWS4ECTS34Authoring of Scientific Papers SEAuthoring of Scientific Papers SELector: Dipl.-Ing. Manuel Koschuch, Bakk.techn.2SWS3ECTSLecture contentsAn important part of a comprehensive academic education is to aquire the qualification to treat problem statements from a scientific point of view. Therefore, an introduction to scientific work, writing, and well established methodologies will be taught in this course.Assessment methodsThe evaluation is based on the submitted material (disposition, paper, reviews) as well as on the presentations.Teaching methodsDuring this course a scientific conference will be simulated. After a brief introduction to scientific writing, the attendees of this course shall treat a problem statement of a given field of research for which they shall prepare disposition that briefly describes the chosen topic. Based on it, a draft version of the scientific article will be written (draft paper). Afterwards, these draft versions of the papers will be critically reviewed by other colleagues (peer reviewing). Based on their reviews, a revised version of the scientific paper shall be created (camera-ready paper). At the end of this course, the scientific papers will be presented by the authors.LanguageGerman23 4. Semester LectureSWSECTSAssisting Technologies & Universal Design ILVAssisting Technologies & Universal Design ILVLector: Dipl.Ing. Georg Edelmayer, Ao.Univ.Prof. i.R. Dr. Wolfgang Zagler2SWS3ECTS23 Communication and Conflict Management ILV 22 Master Thesis MT 021 Master Thesis Seminar SE 22 Team Development and Personnel Management ILV 22Number of teaching weeks18 per semester Times5.30 p.m.-7.00 p.m. and 7.15 p.m.-8.45 p.m.Language of InstructionGerman (some courses in English) How you benefit Innovative possibilities for application abound and the development of new applications and technologies is continues at breakneck speed. Your know-how will enable you to actively participate in shaping this development. The market for "smart" devices is increasing and with it the need for well-trained experts. The hardware and software combination in the degree program will qualify you for both highly specialized as well as industry-spanning engagement. The range of potential careers is extensive, from hardware development to signal processing algorithms and down to low-level programming. You will, however, not be limited to technical development - you will also be well qualified for management positions. Communications systems/terminalsMedical electronics, telemedicine, prostheticsSupply of components for the automotive and aerospace industriesRobotics Industrial control systemsComponents for building automationAccess control/alarm systemsAudio and video equipment Admission Admission requirements A Bachelor degree or diploma certificate from an institute of higher education with a total of 180 ECTS credits with at least 50 ECTS credits in the relevant subjects of Electronics, Digital Technology and Communication Technologies. In exceptional cases, the University Council will make a joint decision with the Program Director. Equivalent certificate from abroadRegulation for the admission of third country citizensInformation for applicants with non-Austrian (school) certificatesThe admission requirements are met with the Information Technology and Telecommunication and Applied Electronics Bachelor degree programs offered at FH Campus Wien. Equivalence is determined by international agreements, validation or in individual cases a decision by the head of the academic section. Application To apply you will require the following documents: Birth certificate Proof of citizenship Bachelor degree certification or diploma certificate/equivalent certificate from abroad CV in table form Please note!It is not possible to save incomplete online applications. You must complete your application in one session. Your application will be valid as soon as you upload all of the required documents and certificates. In the event that some documents (e.g. references) are not available at the time you apply, you may submit these later via e-mail, mail or in person by no later than the start of the degree program. Admission procedure The admission procedure examines the technical aptitude of the applicants for the Master's degree program. It comprises a written test and an interview. The secretary's office will notify you of the date for the admission procedure. AimThe aim is to ensure places are offered to those persons who complete the multi-level admission procedure with the best results. The tests are designed to assess the skills needed for an applicant's chosen profession. ProcedureThe written admission test assesses your logical thinking processes and your understanding of technical processes. All applicants will afterwards be invited to an admission interview to establish your ability and readiness to learn, your motivation in your selection of the degree program and career, your personal aptitude and your verbal communication skills.CriteriaThe criteria for acceptance are based solely on performance. Points are awarded for the written test results and the admission interview. The applicants will be ranked correspondingly. The geographical origin of the applicant has no influence on the admission decision. The admission requirements must be met in all cases. The process as a whole and all test and assessment results from the admission procedure are documented in a verifiable manner and archived. Buddy network Experience shows that many questions arise during the application phase and the start of the degree program. We therefore propose that interested persons and applicants should network with higher semester students in the same degree program as yours. Personal and individual contact with your buddy will facilitate your entry into the degree program. To the Buddy network Contact > FH-Prof. Dipl.-Ing. Andreas Posch T: +43 1 606 68 77-2111andreas.posch@fh-campuswien.ac.at Secretary's office Katharina WagnerFavoritenstraße 226, B.3.25 1100 Vienna P: +43 1 606 68 77-2430 F: +43 1 606 68 77-2139 ese@fh-campuswien.ac.atMap main campus Favoriten (Google Maps)Office hours during the semestes:by appointment Teaching staff and research staff > FH-Prof. Dipl.-Ing. Herbert Paulis Academic Staff> FH-Prof. Dipl.-Ing. Andreas Posch> DI Walter Sebron Research Staff> FH-Prof. Dr. Hans Tschürtz, MSc MSc Head of Vienna Institute for Safety and Systems Engineering, Head of Master´s Degree Program Safety and Systems Engineering Cooperations and Campusnetzwerk We work closely with renowned companies in commerce and industry, with universities, institutions and schools. This guarantees you contacts for employment or participation in research and development. In the course of exciting school cooperations, students may contribute to firing up pupils on topics such as our Bionics Project with the Festo company. You can find information about our cooperation activities and much more at Campusnetzwerk. It's well worth visiting the site as it may direct you to a new job or interesting event held by our cooperation partners! Campusnetzwerk
1. Semester LectureSWSECTSActuators & Sensors VOActuators & Sensors VOLector: FH-Prof. DI Gerhard Engelmann, FH-Prof. Dipl.-Ing. Markus Wellenzohn1SWS2ECTSLecture contents- Physical fundamentals - Different principles of sensors for the measurement of non-electric quantities - Methods to avoid/compensate interfering factors such as non-linearities or temperature-dependencies - Different principles of actuatorsAssessment methodsWritten exam at the end of the course.Teaching methodsPresentation with laptop and beamer, additional explanations on whiteboard.LanguageGerman12Embedded Operating Systems ILVEmbedded Operating Systems ILVLector: Dipl.-Ing. Joseph Gernot Otto Wenninger4SWS6ECTS46Hardware Design VOHardware Design VOLector: Dipl.-Ing. Gerald Renner2SWS4ECTSLecture contents- Process of transfering customer request to system design of a product - Functional partitioning of the sytem to modules and definition of the interfaces between these modules - Design concepts for common used hardware function blocks such as power supplies and power stage - Hardware and Software design splitting - Estimations for capacity needs and costs in respect to design steps - Requirements for testing, production and service for the modules and setAssessment methodsExam at the End Contribution in the lessons Presentations Working in groupsTeaching methods- Lecture - Analysis of physical devices - Working in groups - Presentations - Self-studyLanguageGerman-English24Hardware-related Programming ILVHardware-related Programming ILVLector: Ing. Philipp Grassl, MSc4SWS6ECTSLecture contentsRecapitulation of general C -- Tools and principles of C development -- File I/O -- Threads and processes -- Concurrency and exclusive access -- Inter-process communication -- Pipes -- Sockets -- Kernelspace and userspace -- Linux-Kernel modulesAssessment methods50% Final Test 50% Distance Learning ProjectTeaching methodsinteractive presentation with smaller exercises and a distance learning projectLanguageGerman46HDL Programming ILVHDL Programming ILVLector: FH-Prof. DI Christian Halter3SWS6ECTS36Requirements Engineering ILVRequirements Engineering ILVLector: FH-Prof. Dipl.-Ing. Herbert Paulis2SWS3ECTSLecture contentsThis lecture course gives an introduction, how requirements engineering works. All important parts of the requirement engineering will be shown and discussed by using best practice examples. The lecture course is separated into following main parts: a) Short description of the IEEE P1220 standard for requirement engineering b) Roles and responsibilities in the requirement engineering process c) Skills which are necessary for good requirement engineering d) Integration of the requirement engineering process in other (overall)Assessment methodsWritten exam at the end of the course. At least 60% are required for passing the exam.Teaching methodslectureLanguageGerman23Technical Project Management and System Design ILVTechnical Project Management and System Design ILVLector: Stefan Maximilian Suchi, BSc MSc, FH-Prof. Dr. Hans Tschürtz, MSc MSc2SWS3ECTS23
2. Semester LectureSWSECTSComputer Aided Engineering and Simulation ILVComputer Aided Engineering and Simulation ILVLector: FH-Prof. DI Gerhard Engelmann4SWS6ECTSLecture contentsIntroduction and in-depth application of - MATLAB - Simulink - LTspiceAssessment methodsIndependent work on a task in small groups with a final presentation.Teaching methods- Presentation - Supervised exercise - Independent work on a task in small groupsLanguageGerman-English46Digital Control System VODigital Control System VOLector: FH-Prof. DI Gerhard Engelmann2SWS4ECTSLecture contents- Overview to analog control systems - Structure of digital control systems - Transfer function - Stability - Discrete frequency response - Controller designAssessment methodsComputer-aided (MATLAB) written exam at the end of the course. At least 60% are necessary for successful completion of the course.Teaching methods- Lecture notes - Presentation with beamer - Solving problems using MATLAB - Discussion - Step-by-step explanation of complex contents on the whiteboardLanguageEnglish24Digital Signal Processing ILVDigital Signal Processing ILVLector: FH-Prof. DI Gerhard Engelmann4SWS6ECTSLecture contents• Basic terms and definitions • Continuous-time/discrete-time signals • Deterministic/stochastic signals • Sampling & reconstruction • Convolution, correlation • Z-Transform • Discrete-Time Fourier-Transform (DTFT) • Linear time-invariant discrete-time systems • Digital filters (FIR, IIR) • Discrete Fourier-Transform (DFT, FFT) • Window functions • Number representationsAssessment methodsComputer-aided (MATLAB) written exam at the end of the course. At least 60% are necessary for successful completion of the course.Teaching methods- Lecture notes - Presentation with beamer - Solving problems using MATLAB - Discussion - Step-by-step explanation of complex contents on the whiteboardLanguageEnglish46Real-time Operating Systems ILVReal-time Operating Systems ILVLector: Dipl.-Ing. Joseph Gernot Otto Wenninger2SWS4ECTS24Fault-tolerant Systems/Safety VOFault-tolerant Systems/Safety VOLector: DI Walter Sebron2SWS4ECTS24Innovation Management ILVInnovation Management ILVLector: Dipl.-Ing. Thomas Fiedler, Hubert Wimmer, MSc2SWS3ECTSLecture contentsLecture: Innovation in general Innovation in practice (trends, strategy, methods, implementation) Innovation toolbox Intrapreneurship in practice (implementation in the company, guest lecturer, best practices) Seminar: Innovation process at a concrete Innovation Challenge (industrial project)Assessment methodsFinal (written) examination and seminar presentationTeaching methodsLecturingLanguageGerman23Quality Assurance and Control ILVQuality Assurance and Control ILVLector: FH-Prof. Dr. Hans Tschürtz, MSc MSc2SWS3ECTS23
3. Semester LectureSWSECTSError Control Coding VOError Control Coding VOLector: DI Dr. Gabriel Maresch2SWS3ECTSLecture contentsIntroduction to Coding Theory, Elements of Information Theory, Signal Theory and Cryptography.Assessment methodsEnd-TermTeaching methodsBlended Learning using MoodleLanguageGerman-English23Digital Image Processing ILVDigital Image Processing ILVLector: FH-Prof. DI Gerhard Engelmann2SWS3ECTSLecture contents• Digital images • Histogram, Contrast • Pointoperations • Local operators (Filter) • Morphological operators • Color images, Color spaces, Color conversion • DFT in 2DAssessment methodsIndependent implementation of digital image processing algorithms.Teaching methods- Introduction to digital image processing - Examples related to digital image processing using MATLAB - Independent implementation of digital image processing algorithms for solving a given problemLanguageEnglish23EMC (Electromagnetic Compatibility) Aspects VOEMC (Electromagnetic Compatibility) Aspects VOLector: Dipl.-Ing. Dr. Kurt Lamedschwandner, MBA2SWS3ECTSLecture contentsIntroduction to electromagnetic compatibility (EMC), EMC conformity assessment, EMC design rules for printed circuit boards and devices, EMC measurement methodsAssessment methodsWritten exam (50 %) and home assignment (50 %)Teaching methodsLecture and supervision of a home assignment23Interdisciplinary Project UEInterdisciplinary Project UELector: Dipl.-Ing. Manuel Koschuch, Bakk.techn., Julia Teissl, BSc MSc4SWS9ECTSLecture contentsSummary of the essential aspects of project- and process-management, as well as system safety, and their practical meaning in concrete examples. Clarification of the differences between safety and security, and of the interfaces between these two areas. Diskussion and reflection of the insights from practical application of the above concepts.Assessment methodsAssessment of the submitted implementation and the presentations.Teaching methodsImplementing and presenting a practical example in small groups.LanguageGerman49Mobile and Embedded Security Exercise UEMobile and Embedded Security Exercise UELector: DI Mathias Tausig1SWS2ECTS12Mobile and Embedded Security VOMobile and Embedded Security VOLector: FH-Prof. DI Gerhard Engelmann, Silvia Schmidt, MSc BSc, DI Mathias Tausig2SWS3ECTSLecture contentsASN.1 Smartcards Constrained Networking Mobile Authentication RIOT-OS Secure Firmware Update Internet-of-Things (IoT-Security) Overview Embedded CAssessment methodsIntermediate tests, distance/remote learning, final exam.Teaching methodsLectures and remote/distance learning English slidesLanguageEnglish23Signal Transmission Techniques and Systems ILVSignal Transmission Techniques and Systems ILVLector: DI (FH) Peter Krebs3SWS4ECTS34Authoring of Scientific Papers SEAuthoring of Scientific Papers SELector: Dipl.-Ing. Manuel Koschuch, Bakk.techn.2SWS3ECTSLecture contentsAn important part of a comprehensive academic education is to aquire the qualification to treat problem statements from a scientific point of view. Therefore, an introduction to scientific work, writing, and well established methodologies will be taught in this course.Assessment methodsThe evaluation is based on the submitted material (disposition, paper, reviews) as well as on the presentations.Teaching methodsDuring this course a scientific conference will be simulated. After a brief introduction to scientific writing, the attendees of this course shall treat a problem statement of a given field of research for which they shall prepare disposition that briefly describes the chosen topic. Based on it, a draft version of the scientific article will be written (draft paper). Afterwards, these draft versions of the papers will be critically reviewed by other colleagues (peer reviewing). Based on their reviews, a revised version of the scientific paper shall be created (camera-ready paper). At the end of this course, the scientific papers will be presented by the authors.LanguageGerman23
4. Semester LectureSWSECTSAssisting Technologies & Universal Design ILVAssisting Technologies & Universal Design ILVLector: Dipl.Ing. Georg Edelmayer, Ao.Univ.Prof. i.R. Dr. Wolfgang Zagler2SWS3ECTS23 Communication and Conflict Management ILV 22 Master Thesis MT 021 Master Thesis Seminar SE 22 Team Development and Personnel Management ILV 22
> FH-Prof. Dr. Hans Tschürtz, MSc MSc Head of Vienna Institute for Safety and Systems Engineering, Head of Master´s Degree Program Safety and Systems Engineering