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Embedded Systems Engineering

Master, part-time

Overview

The focal topic of the Embedded 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.

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Contact us

Contact us!

Magdalena Brandeis, BA
Marina Paukovits
Julia Paukovits-Grünauer (leave)
Favoritenstraße 226, B.3.20 
1100 Vienna
P: +43 1 606 68 77-2130 
F: +43 1 606 68 77-2139 
ese@fh-campuswien.ac.at

Main campus Favoriten (Google Maps)

Office hours during the semester
Mon, 8.00-12.00 a.m. and 1.30-6.00 p.m.
Tue, 9.00-12.00 a.m. and 1.30-7.30 p.m.
Wed, 9.00-12.00 a.m. and 1.30-6.00 p.m.
Thu, 8.00-12.00 a.m.

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Duration of course
4 Semester
Final degree
Master of Science in Engineering (MSc)
15Study places
120ECTS
Organisational form
part-time

Application period for academic year 2018/19

25th September 2017 to 30th June 2018

tuition fee / semester:

€ 363,36*

+ ÖH premium + contribution**

 

* Tuition fees for students from third countries € 727 per semester

 

**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 Embedded 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 Embedded 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, Embedded 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. Embedded Systems Engineering controls the acquisition of object data.

We can also offer students of the Embedded 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

Grundstudium

Lecture SWS ECTS
Actuators & Sensors VO

Actuators & Sensors VO

Lector: FH-Prof. DI Gerhard Engelmann, Dipl.-Ing. Markus Wellenzohn

1 SWS
2 ECTS

Lecture 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 actuators

Assessment methods

Written exam at the end of the course.

Teaching methods

Presentation with laptop and beamer, additional explanations on whiteboard.

Language

German

1 2
Embedded Operating Systems ILV

Embedded Operating Systems ILV

Lector: Dipl.-Ing. (FH) Thomas Poms, MSc, Dipl.-Ing. Joseph Gernot Otto Wenninger

4 SWS
6 ECTS
4 6
Hardware Design VO

Hardware Design VO

Lector: Dipl.-Ing. Gerald Renner

2 SWS
4 ECTS
2 4
Hardware-related Programming ILV

Hardware-related Programming ILV

Lector: Dipl.-Ing. (FH) Thomas Poms, MSc, Dipl.-Ing. Joseph Gernot Otto Wenninger

4 SWS
6 ECTS
4 6
HDL Programming ILV

HDL Programming ILV

Lector: FH-Prof. DI Christian Halter

3 SWS
6 ECTS

Language

German

3 6
Project Management ILV

Project Management ILV

Lector: FH-Prof. Dr. Hans Tschürtz, MSc MSc

2 SWS
3 ECTS
2 3
Requirements Engineering VO

Requirements Engineering VO

Lector: FH-Prof. Dipl.-Ing. Herbert Paulis

2 SWS
3 ECTS

Lecture contents

This 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 methods

Written exam at the end of the course.At least 60% are required for passing the exam.Practical exercise.

Teaching methods

lecture with practical work

2 3

Grundstudium

Lecture SWS ECTS
Computer Aided Design and Simulation ILV

Computer Aided Design and Simulation ILV

Lector: FH-Prof. DI Christian Halter, Mathias Wieser, BSc

4 SWS
6 ECTS

Language

German

4 6
Digital Control Engineering VO

Digital Control Engineering VO

Lector: FH-Prof. DI Gerhard Engelmann

2 SWS
4 ECTS

Lecture contents

- Overview to analog control systems
- Structure of digital control systems
- Transfer function
- Stability
- Discrete frequency response
- Controller design

Assessment methods

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 whiteboard

Language

English

2 4
Digital Signal Processing ILV

Digital Signal Processing ILV

Lector: FH-Prof. DI Gerhard Engelmann

4 SWS
6 ECTS

Lecture 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 representations

Assessment methods

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 whiteboard

Language

English

4 6
Real-time Operating Systems ILV

Real-time Operating Systems ILV

Lector: Dipl.-Ing. Joseph Gernot Otto Wenninger

2 SWS
4 ECTS
2 4
Fault-tolerant Systems/Safety VO 2 4
Innovation Management ILV

Innovation Management ILV

Lector: FH-Prof. DI Dr. Heinz Schmidt

2 SWS
3 ECTS

Lecture contents

Innovations and innovation management
Structured idea management process
Technology and R&D management and their role in strategic and operational innovation management in enterprises
Development of innovation strategies with reference to markets and products
Development of innovation strategies and measures for their implementation
Success factors
Measuring innovation activities

Assessment methods

Final (written) examination

Teaching methods

Lecturing

Language

German

2 3
Quality Management VO

Quality Management VO

Lector: FH-Prof. Dr. Hans Tschürtz, MSc MSc

2 SWS
3 ECTS

Lecture contents

Introduction into quality management, practice-relevant deepening of the methods of quality planning and improvement as well as looking into the body of rules and regulations ISO 9001:2008 Furthermore enlarging upon the basics of Process Assessment Models (ISO/IEC 15504).

Assessment methods

• Lecture-immanent exam character with final exam• Distance learning results

Teaching methods

• Lecture units (VO)• Distance learning• Refection and discussion

2 3

Grundstudium

Lecture SWS ECTS
Error Control Coding VO

Error Control Coding VO

Lector: Univ.Prof. Dipl.-Ing. Dr.techn. Richard Eier

2 SWS
3 ECTS

Lecture contents

Error detection and correction in modern data communication and storage systems. Basics illustrated by sets of decimal numbers, providing an easy introduction to algebraic coding theory. Linear block codes are widely discussed. Matrix calculus and polynomial arithmetic are used as mathematical tools. Special attention is paid to the minimum distance between pairs of code words and the number of check bits actually engaged.HW- and SW-implementations of coding- and decoding devices including correction of some specified type of errors are presented. Finally overall system performance is evaluated in terms of residual error probabilities and transmission information rates.

Assessment methods

Written test and review at the end of the course

Teaching methods

lecture presentation, demonstration and simulations

2 3
Digital Image Processing ILV

Digital Image Processing ILV

Lector: FH-Prof. DI Gerhard Engelmann

2 SWS
3 ECTS

Lecture contents

•Digital images
•Histogram, Contrast
•Pointoperations
•Local operators (Filter)
•Morphological operators
•Color images, Color spaces, Color conversion
•DFT in 2D

Assessment methods

Independent 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 problem

Language

English

2 3
EMC (Electromagnetic Compatibility) Aspects VO

EMC (Electromagnetic Compatibility) Aspects VO

Lector: Dipl.-Ing. Dr. Kurt Lamedschwandner, MBA

2 SWS
3 ECTS

Lecture contents

Introduction to electromagnetic compatibility (EMC), EMC conformity assessment, EMC design rules for printed circuit boards and devices, EMC measurement methods

Assessment methods

Oral examination (50 %) and home assignment (50 %)

Teaching methods

Lecture and supervision of a home assignment

2 3
Interdisciplinary Project SE

Interdisciplinary Project SE

Lector: FH-Prof. Dipl.-Ing. Dipl.-Ing. Dr. techn. Dr. techn. Dr.-Ing. Gernot Kucera, Dipl.-Ing. Markus Wellenzohn

4 SWS
9 ECTS

Lecture contents

Interdisciplinary project theses. Summary of the most important aspects of the project and the practical application. Discussion of the gained experience of the students and reflexion of the findings.

Assessment methods

practical and constructive assessment, assessment of final result and documentation

Teaching methods

Practical and constructive realisation of defined project scopes.

Language

German

4 9
Cummunication Systems VO

Cummunication Systems VO

Lector: FH-Prof. DI Gerhard Engelmann, FH-Prof. Dipl.-Ing. Dipl.-Ing. Dr. techn. Dr. techn. Dr.-Ing. Gernot Kucera, FH-Prof. Dipl.-Ing. Herbert Paulis

2 SWS
3 ECTS

Lecture contents

Selected topics from
- structure and design of communication systems and -networks
- circuit switching and packet switching
- signaling protocols
- integration of telecom networks (ISDN, GSM, UMTS) with the internet
- H.323 vs. SIP protocols
- introduction to optical transmission and signaling
- bus systems in automation (Ethernet Powerlink)

Assessment methods

Written exam at the end of the course.At least 60% are required for passing the exam.

Teaching methods

Lecture

Language

German

2 3
Mobile and Embedded Security VO

Mobile and Embedded Security VO

Lector: Silvia Schmidt, MSc, DI Mathias Tausig

2 SWS
3 ECTS

Lecture contents

ASN.1
Smartcards
Constrained Networking
Mobile Authentication
RIOT-OS
Secure Firmware Update
Internet-of-Things (IoT-Security)
Overview Embedded C

Assessment methods

Intermediate tests, distance/remote learning, final exam.

Teaching methods

Lectures and remote/distance learning

Language

English

2 3
Authoring of Scientific Papers SE

Authoring of Scientific Papers SE

Lector: Dipl.-Ing. Manuel Koschuch, Bakk.techn.

2 SWS
3 ECTS

Lecture contents

An 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 methods

The evaluation is based on the submitted material (disposition, paper, reviews) as well as on the presentations.

Teaching methods

During 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.

Language

German

2 3
Signal Transmission Techniques ILV

Signal Transmission Techniques ILV

Lector: FH-Prof. DI Gerhard Engelmann, Julia Scheidinger, BSc

2 SWS
3 ECTS

Lecture contents

• Continuous-time/discrete-time signals, Spectrum
• Linear time-invariant systems, Frequency response, Transfer function
• Baseband/passband signals
• Digital modulation techniques

Assessment methods

Independent implementation of digital signal processing algorithms on a signal processor.

Teaching methods

Independent implementation of digital signal processing algorithms on a signal processor.

Language

German-English

2 3

Grundstudium

Lecture SWS ECTS
Assisting Technologies & Universal Design ILV

Assisting Technologies & Universal Design ILV

Lector: Dipl.Ing. Georg Edelmayer, Ao.Univ.Prof. i.R. Dr. Wolfgang Zagler

2 SWS
3 ECTS

Lecture contents

Introduction of the topics Diversity, Disability, Accessibility, Universal Design.
Relevante lawy and regulations: Menschenrechte, BGstG, UN Menschenrechtskonvention;
ÖNORM B1600 with examples; Barrierfree Internet, Guidelines (WCAG), Assistive Technology, Checktools.

Assessment methods

Written test

Teaching methods

Lectur; hands on examples

Language

German

2 3
Communication and Conflict Management ILV

Communication and Conflict Management ILV

Lector: Dipl.Ing. Franz Gober, MBA

2 SWS
2 ECTS

Lecture contents

Basic assumptions of comunication - main focus body language, presentation technics; social skills: ability of encountering, effective communication strategy. Rhetorical basics: Use of different discussion technics and questioning technics and feedback strategies, facilityting and inhibiting behaviour in communication. Management of conflicts, analysing types of conflicts, models for resolution of conflicts, mediation.

Assessment methods

Physical presenceActive cooperation Seminar paperReview-Journal

Teaching methods

Individual work, work in smaller and larger groups, teacher-centred information phases, review-journal

Language

German

2 2
Master Thesis MT

Master Thesis MT

Lector: FH-Prof. DI Gerhard Engelmann

0 SWS
21 ECTS

Lecture contents

Deal with a topic at the scientific stage under supervision in the field of embedded systems.
Writing the master thesis.

Assessment methods

Approval of master thesis

Teaching methods

Independent scientific work under supervision.

Language

German-English

0 21
Master Thesis Seminar SE 2 2
Team Development and Personnel Management ILV

Team Development and Personnel Management ILV

Lector: Dipl.Ing. Franz Gober, MBA

2 SWS
2 ECTS

Lecture contents

- basic attitude of leadership
- value orientation and ethics in management
- team phases and team development
- target orientation in management and measuring systems
- role and meaning of mission statements and corporate culture
- leadership of employees and coaching
- selected leadership tools and methods

Assessment methods

Physical presenceActive cooperationSeminar paper and presentationReview-Journal

Teaching methods

PresentationWork on problems individually and in small groupsSubject specific discussions in the classPresentation of group projects and reflection in classReview-Journal

Language

German-English

2 2

Semester dates
Winter semester: 29th August 2016 to 29th January 2017
Summer semester: 13th February to 15th July 2017

Number of teaching weeks
18 per semester

Times
5.30 p.m.-7.00 p.m. and 7.15 p.m.-8.45 p.m.

Language of Instruction
German (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.

Career opportunities

Graduates will pursue careers at manufacturers and technical offices in the field of hardware and/or software development, production, marketing, installation and maintenance of electronic equipment. In the case of safety-critical applications, they will ensure systems reliability and maintainability. They will work in the following areas:

  • Communications systems/terminals
  • Medical electronics, telemedicine, prosthetics
  • Supply of components for the automotive and aerospace industries
  • Robotics
  • Industrial control systems
  • Components for building automation
  • Access control/alarm systems
  • Audio 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 abroad
  • Regulation for the admission of third country citizens: Info sheet (PDF)

The 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
  • Proof of residence
  • 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.

Selection process

The selection process 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 selection process.

  • Aim
    The aim is to ensure places are offered to those persons who complete the multi-level selection process with the best results. The tests are designed to assess the skills needed for an applicant's chosen profession.
  • Procedure
    The written selection test assesses your logical thinking processes and your understanding of technical processes. All applicants will afterwards be invited to a selection 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.
  • Criteria
    The criteria for acceptance are based solely on performance. Points are awarded for the written test results and the selection interview. The applicants will be ranked correspondingly. The geographical origin of the applicant has no influence on the selection decision. The admission requirements must be met in all cases. The process as a whole and all test and assessment results from the selection process 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

Secretary's office

Magdalena Brandeis, BA
Marina Paukovits
Julia Paukovits-Grünauer (leave)
Favoritenstraße 226, B.3.20 
1100 Vienna
P: +43 1 606 68 77-2130 
F: +43 1 606 68 77-2139 
ese@fh-campuswien.ac.at

Main campus Favoriten (Google Maps)

Office hours during the semester
Mon, 8.00-12.00 a.m. and 1.30-6.00 p.m.
Tue, 9.00-12.00 a.m. and 1.30-7.30 p.m.
Wed, 9.00-12.00 a.m. and 1.30-6.00 p.m.
Thu, 8.00-12.00 a.m.

Teaching staff and research staff


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