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Bachelor Biomedizintechnik mit Praxis-/Auslandssemester

Fast facts

  • Department

    Informationstechnik

  • Stand/version

    2017

  • Standard period of study (semester)

    7

  • ECTS

    210

Study plan

1. Semester2. Semester3. Semester4. Semester5. Semester6. Semester7. Semester

Einführung in die Programmierung

  • PF
  • 4SWS
  • 5ECTS

Grundlagen der Elektrotechnik

  • PF
  • 4SWS
  • 5ECTS

Grundlagen der Medizin III

  • PF
  • 4SWS
  • 5ECTS

Fachpraktikum I Biomedizintechnik

  • PF
  • 5SWS
  • 5ECTS

Fachpraktikum II Biomedizintechnik

  • PF
  • 5SWS
  • 5ECTS

Praxis-/Auslandssemester

  • PF
  • 4SWS
  • 30ECTS

Bachelor Arbeit und Abschluss-Kolloquium

  • PF
  • 5SWS
  • 15ECTS

Grundpraktikum I

  • PF
  • 5SWS
  • 5ECTS

Grundlagen der Medizin I + II

  • PF
  • 8SWS
  • 10ECTS

Grundpraktikum III

  • PF
  • 5SWS
  • 5ECTS

Grundlagen der Medizin IV

  • PF
  • 8SWS
  • 10ECTS

Grundlagen der Medizin V

  • PF
  • 8SWS
  • 10ECTS

Projektorientiertes Arbeiten II

  • PF
  • 10SWS
  • 15ECTS

Mathematik I

  • PF
  • 4SWS
  • 5ECTS

Grundpraktikum II

  • PF
  • 5SWS
  • 5ECTS

Modellbildung & Simulation für die Biomedizintechnik

  • PF
  • 4SWS
  • 5ECTS

Schlüsselqualifikationen

  • PF
  • 4SWS
  • 4ECTS

Projektorientiertes Arbeiten I

  • PF
  • 4SWS
  • 4ECTS

Mikroprozessortechnik

  • PF
  • 4SWS
  • 5ECTS

Mathematik II

  • PF
  • 4SWS
  • 5ECTS

Programmierung

  • PF
  • 8SWS
  • 10ECTS

Signalverarbeitung & Regelungstechnik

  • PF
  • 4SWS
  • 5ECTS

Seminar

  • PF
  • 4SWS
  • 5ECTS

Physikalische Grundlagen

  • PF
  • 8SWS
  • 10ECTS

Sensorik & Messtechnik

  • PF
  • 4SWS
  • 5ECTS

Compulsory elective modules (45)

Signal- und Systemtheorie

  • PF
  • 4SWS
  • 5ECTS

    • Compulsory elective modules 1. Semester

    • Compulsory elective modules 2. Semester

    • Compulsory elective modules 3. Semester

    • Compulsory elective modules 5. Semester

    • Compulsory elective modules 6. Semester

    • Compulsory elective modules 7. Semester

Module overview

1. Semester of study

Einführung in die Programmierung
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10030

  • Duration (semester)

    1

Grundpraktikum I
  • PF
  • 5 SWS
  • 5 ECTS

  • Number

    10050

  • Duration (semester)

    1

Mathematik I
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10010

  • Duration (semester)

    1

Mikroprozessortechnik
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10040

  • Duration (semester)

    1

2. Semester of study

Grundlagen der Elektrotechnik
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10090

  • Duration (semester)

    1

Grundlagen der Medizin I + II
  • PF
  • 8 SWS
  • 10 ECTS

  • Number

    10070

  • Duration (semester)

    1

Grundpraktikum II
  • PF
  • 5 SWS
  • 5 ECTS

  • Number

    10110

  • Duration (semester)

    1

Mathematik II
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10060

  • Duration (semester)

    1

Physikalische Grundlagen
  • PF
  • 8 SWS
  • 10 ECTS

  • Number

    10100

  • Duration (semester)

    1

  • Contact time

    60

  • Self-study

    120

Learning outcomes/competences

Knowledge: Upon completion of this module, students will be able to:
  • know advanced research methods and tools of the digital transformation (scientific) domain
  • know and understand business models in the digital domain
  • know TOGAF and enterprise IT & business architectures
  • know training concepts
  • have advanced IT literacy in tools like MS Excel
  • know German vocabulary and grammar at least on A2 level
  • know English vocabulary and grammar at least on C2 level
Application and generation of knowledge: The students are able to
  • apply research methods and tools of the scientific domain
  • can develop business models based on case studies
  • can develop enterprise IT architectures based on case studies
  • can train users in IT tools
  • use tools like MS Excel on an advanced level
  • speak, understand, read and write German at least on A2 level
  • speak, understand, read and write English at least on C2 level
Communication and cooperation:
  • Students can cooperate in digital transformation projects
  • Students can train users in digital technologies
  • Students learn to communicate with people on different IT literacy levels
  • Students learn to communicate in different languages, especially in German
Scientific self-understanding / professionalism:
  • Students can plan and conduct scientific research in the digital transformation domain
  • Students are aware of their own discipline and can interact with other discipline adequately
  • Students can manage context beyond the IT technology domain

Contents

The module is the extension of the Scientific and Transversal Skills 1module and provides an additional set of several smaller training units to the students where they can develop specific competences. Up to 8 courses are offered in the summer term (according to availability). Students have to choose 3 out of 6 optional training units (from No. 1-6). For students without at least German A2, the German course (No. 7) is mandatory. For German native speakers, another language course has to be concluded at least on A1 level (No. 8). More courses can be added according to the analysis of the needs.

Course Structure

In the initial set up of the master a selection of 8 compact courses are offered. More can be added according to the analysis of the needs of actual students:
  1. Compact Course on Business Models and Business Cases (TOPSIM): This course conducts a 1-week intensive workshop as a business simulation in the TOPSIM framework. The focus is on the development of a startup idea in the field of digital transformation.
  2. Compact Course on TOGAF: This course conducts a 1-week intensive workshop on the TOGAF framework (The Open Group Architecture Framework). The focus is on the development of an enterprise architecture combining the business and the IT view.
  3. Train-the-Trainer on IT tools for projects: The goal of the course is to let the IT students develop a training, starting from the training concept (didactics, learning objectives), then developing training materials, and finally delivering the training to students from a project management Master.
  4. Research Methods and Tools - part B (RMT-B): Training on advanced scientific methods and tools in the digital transformation domain. The goal of the course is to prepare a concrete research project or a scientific publication. Students can continue the sequence of RMT-A and RMT-B plus a Research Seminar.
  5. Cross-Border Project B: During the Mai Master block week or a workshop at a partner university, projects with teams of students from several partners are formed. They conduct projects, e.g. on industry cases and present the results, e.g. in pitching.
  6. ICDL-Advanced Excel: This course is preparing for the Advanced Excel certificate of the International Computer Driver License (ICDL) and the respective exams. The course puts the focus on using Excel for data analytics and business intelligence.
    7. International Project Communication 2 e (German A2): A language certificate of German at least on level A1 has to be provided at the end of the semester. Respective courses are organized and embedded into the weekly schedule.
  7. International Project Communication 2 g (other language): For students with native German background (e.g. German/Austrian/Swiss citizens or students with a prior degree taught in German (e.g. "Bildungsinländer"), a language certificate in an additional language (e.g. French, Spanish, Chinese, etc.) at least on A1 level is required. In case of an English language certificate, C2 level is needed.

Teaching methods

  1. Compact Course on Business Models and Business Cases (TOPSIM): business simulation
  2. Compact Course on TOGAF: online preparation, 1-week workshop based on case study
  3. Train-the-Trainer on IT tools for projects: development of a training course (group work)  
  4. Research Methods and Tools - part B (RMT-B): lecture and homework (paper writing)  
  5. Cross-Border Project B: project and presentation
  6. ICDL Advanced Excel: methods & tool training
  7. International Project Communication 2 e (German A2): language training
  8. International Project Communication 2 g (other language A1 or English C2): language training

Participation requirements

MOD1-05 - Scientific & Transversal Skills 1

Forms of examination

  1. Compact Course on Business Models and Business Cases (TOPSIM): pitch presentation
  2. Compact Course on TOGAF: result presentation and review
  3. Train-the-Trainer on IT tools for projects: evaluation of the training by participants  
  4. Research Methods and Tools - part B (RMT-B): homework (paper assignment)
  5. Cross-Border Project B: presentation and discussion
  6. ICDL Advanced Excel: test
  7. International Project Communication 2 e (German A2): language test
  8. International Project Communication 2 g (other language A1 or English C2): language test

Requirements for the awarding of credit points

Successful completion of course no. 1, 3 out of 6 technical courses (no. 2-7, graded), language certificate

Applicability of the module (in other degree programs)

Depending on choice of courses

Importance of the grade for the final grade

5,00%

Literature

See “MOD1-05 – Scientific & Transversal Skills 1” for 4-8

For TOPSIM (1) specific training material is provided for registered students

For TOGAF (2) specific training material is provided for registered students

For the IT tools trainings (3) online courses of instructional design are provided for registered students

3. Semester of study

Grundlagen der Medizin III
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10140

  • Duration (semester)

    1

Grundpraktikum III
  • PF
  • 5 SWS
  • 5 ECTS

  • Number

    10200

  • Duration (semester)

    1

Modellbildung & Simulation für die Biomedizintechnik
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10190

  • Duration (semester)

    1

Programmierung
  • PF
  • 8 SWS
  • 10 ECTS

  • Number

    10160

  • Duration (semester)

    1

Sensorik & Messtechnik
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10170

  • Duration (semester)

    1

Signal- und Systemtheorie
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10130

  • Duration (semester)

    1

4. Semester of study

Fachpraktikum I Biomedizintechnik
  • PF
  • 5 SWS
  • 5 ECTS

  • Number

    10280

  • Duration (semester)

    1

Grundlagen der Medizin IV
  • PF
  • 8 SWS
  • 10 ECTS

  • Number

    10230

  • Duration (semester)

    1

Schlüsselqualifikationen
  • PF
  • 4 SWS
  • 4 ECTS

  • Number

    10270

  • Duration (semester)

    1

Signalverarbeitung & Regelungstechnik
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10220

  • Duration (semester)

    1

Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10416

  • Duration (semester)

    1

Applied biosignal processing - beat detection
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10404

  • Duration (semester)

    1

Ausgewählte Kapitel der Digitalen Technologien 1
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10418

  • Duration (semester)

    1

Ausgewählte Kapitel der Digitalen Technologien 2
  • WP
  • 2 SWS
  • 6 ECTS

  • Number

    10419

  • Duration (semester)

    1

Ausgewählte Softwaresysteme - Programmierung IV
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10402

  • Duration (semester)

    1

Automotive Systems
  • WP
  • 2 SWS
  • 5 ECTS

  • Number

    10434

  • Duration (semester)

    1

Bewegungsanalyse
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10432

  • Duration (semester)

    1

  • Contact time

    60

  • Self-study

    120

Learning outcomes/competences

Knowledge: Upon completion of this module, students will be able to:
  • Know relevant theoretical foundations, area: computer science and society
  • Explain methodical background of case studies and surveys
  • Aware of critical limitations of methods for evaluating impact
Skills: Upon completion of this module, students will be able to:
  • Analyze the impact of changes in information technology on individuals, environment and society, based upon a given past scenario
  • Evaluate, analyze (and within limits predict) the impact of new products/services on individuals, environment and society, during the concept and development phase
  • Conduct methodologically structured evaluations (e.g. field observation, lab tests) and surveys
Competence - attitude: Upon completion of this module, students will develop the ability and attitude to :
  • Discuss impacts of changes in information technology on individuals, environment and society with experts
  • Advise during product/service development on potential impacts of product/service structure/fea- tures on individuals, environment and society
  • Understand scientific publication in the related area

Contents

Digitalization in private and professional domains is influencing intensely and sometimes even revolutionizing people's life, the way they interact with systems, the way they interact with each other, the way a society changes. Within this course those influences will be addressed from two different viewpoints. From an analytical perspective, former and current developments and their influences will be analyzed and then projected on future trends. From a constructive perspective, those potential influences of e.g. a product or service currently in development will be taken into account to shape the prospective solution.

Course Structure
  • Basic Overview "Computer Science & Society"
  • Ethics in computer science
  • Digital media and art
  • Surveillance and privacy
  • Artificial intelligence and responsibility
  • Case Studies "Disruptive Changes by Information Technology"
  • Digitalization of work life & work environments, processes, products and services
  • Evaluation of impacts (personal, environment, society)

Teaching methods

  • E-learning modules and (live-)video lectures on computer science and society
  • Online self-learning material on evaluation methods in social sciences
  • Project work (e.g. as part of a block week), for a case study (e.g. Analyzing impacts and potentials for news products and services)
  • Guest lectures with experts and trending topics (e.g. mini-lectures) as part of a block week
  • Literature work and conducting (pre-)studies to improve scientific competences

Participation requirements

  • Innovation Driven Software Engineering (MOD1-01)
  • R&D Project Management (MOD1-04)
  • Usability Engineering (MOD2-01)

Forms of examination

Assessment of the course: Practical Skills (50%): Group work and/or individual task, case studies and projects => demonstration/presentation of the result an Scientific Competences (50%): written paper (literature review, study report or survey, approx. 15 pages) and presentation (in class or at a student conference, e.g. International Research Conference Dortmund)

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

R&D project & Thesis

Importance of the grade for the final grade

5,00%

Literature

Robert Ciesla. (2025). The Book of Chatbots: From ELIZA to ChatGPT. Springer.

Carolina Machado, J. Paulo Davim. (2020). Industry 4.0: Challenges, Trends, and Solutions in Management and Engineering. CRC Press.

Antonis Mavropoulos, Anders Waage Nilsen. (2020). Industry 4.0 and Circular Economy: Towards a Wasteless Future or a Wasteful Planet?. Wiley.

Jean-Claude André. (2019). Industry 4.0: Paradoxes and Conflicts. Wiley-ISTE.

Hitachi-UTokyo Laboratory (2020). Society 5.0: A People-centric Super-smart Society. Springer.

Shashank Awasthi, Goutam Sanyal. (2024). Sustainable Computing: Transforming Industry 4.0 to Society 5.0. Springer.

Avadhesh Kumar, Shrddha Sagar. (2024). Digital Transformation: Industry 4.0 to Society 5.0. Springer.

Walter Frenz. (2022). Handbook Industry 4.0: Law, Technology, Society. Springer.

Neeraj Mohan, Surbhi Gupta, Chuan-Ming Liu. (2022). Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies. CRC Press.

Christoph Musik, Alexander Bogner. (2019). Digitalization and Society: A Sociology of Technology Perspective on Current Trends in Data, Digital Security and the Internet. Springer.

Robin Qiu, Wai Kin Victor Chan, Weiwei Chen. (2022). City, Society, and Digital Transformation: Proceedings of the 2022 INFORMS International Conference on Service Science. Springer.

Publications in journals and conference proceedings

Bildgebende Verfahren der Medizintechnik 1
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10405

  • Duration (semester)

    1

  • Contact time

    60

  • Self-study

    120

Learning outcomes/competences

Knowledge
  • Knows relevant home automation systems and standards
  • Know smart building concepts (e.g. VDC, BIM)
  • Knows relevant trends and projects in Smart City
  • Is aware of critical limitations, esp. safety and security issues
Skills
  • Can design concepts for smart home/smart building/smart city systems
  • Can implement IoT, Cloud and SW components into such systems
  • Can apply state of the art tools and systems (e.g. KNX)
  • Can select IoT and cloud platforms according to smart home/building/city requirements
  • Can apply and configure Smart City platforms (e.g. FIWARE)
Competence - attitude
  • Can discuss smart home/building/city systems with experts
  • Can lead cross domain design in this domain
  • Can contribute to Smart City Alliances (e.g. Dortmund Smart City Alliance)

Contents

The digital transformation is a major driver for the change in people's living environment. It affects the technical design of infrastructure systems, starting from people's home via larger buildings and rea- ching up to systems like cities or districts. It covers home automation, energy and mobility systems and assistance systems. The course introduces the trends, developments and standards from the smart home, smart building and smart city domains and put them into the context of software and IoT systems. The aim is to enable students to develop larger software systems within the given context and to integrate them with other IoT and cloud systems. Therefore, it is intended to form a domain specific view on the digital transformation.

Course Structure

1.    Smart home
1.1 Home automation
1.2 Standards and bus systems (e.g. KNX)
1.3 Energy and mobility in smart home systems
1.4 Ambient assisted living

2.    Smart Building
2.1 Building Information Systems (e.g. VDC, BIM)
2.2 Safety and Security in Smart Buildings
2.3 Facility Management and Smart Building

3.    Smart City
3.1 Smart City concepts and relevant trends
3.2 Integration of Logistics, Energy, Supplies and Mobility
3.3 Smart City platforms, esp. FIWARE
3.4 Stakeholder and Citizen Involvement
3.5 Case Study: Smart City Alliance Dortmund

Teaching methods

Students will be guided through a case study project. They form agile teams and collaborate in the project execution via IT tools. In addition, they write a scientific paper as group work.
  • Lectures introducing concepts, methods and tools
  • Project simulation (agile, virtual SW development projects with Scrum) on the case study of setting up a Smart Home Automation or Smart City platform. Several sprints are conducted over 2 months' time. Review meetings with teachers and 2 reviews in the plenary
  • Group work on writing a scientific paper, peer review by students and teachers. Excellent papers can be encouraged to submit at a conference, e.g. IEEE E-TEMS
  • Presentations to communicate results

Participation requirements

none

Forms of examination

Assessment of the course: Theoretical knowledge: Oral exam at the end of the course (20%), Practical Skills: Group assessment on results of project simulation (50%) and Scientific Competences: paper presentation (30%)

Requirements for the awarding of credit points

Passed exam and passed semester assignments
 

Applicability of the module (in other degree programs)

Can be used as an elective in Master Embedded Systems Engineering

Importance of the grade for the final grade

5,00%

Literature

Swathika, O. G., Karthikeyan, K., & Padmanaban, S. (Eds.). (2022). Smart Buildings Digitalization: IoT and Energy Efficient Smart Buildings Architecture and Applications. CRC Press.

Jadhav, N. Y. (2016). Green and smart buildings: advanced technology options. Springer.

Smeenk, H. G., & Petock, M. (2023). Internet of Things for Smart Buildings: Leverage IoT for smarter insights for buildings in the new and built environments. Packt Publishing Ltd.

Merz, H., Hansemann, T., & Hübner, C. (2009). Building automation. Heidelberg: Springer.

Halegoua, G. (2020). Smart cities. MIT press.

Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., ... & Portugali, Y. (2012).
Smart cities of the future. The European Physical Journal Special Topics, 214, 481-518.

Cirillo, F., Solmaz, G., Berz, E. L., Bauer, M., Cheng, B., & Kovacs, E. (2019). A standard-based open source IoT platform: FIWARE. IEEE Internet of Things Magazine, 2(3), 12-18.

Ahle, U., & Hierro, J. J. (2022). FIWARE for Data Spaces.

Wiecher, C., Tendyra, P., Wolff, C. (2022). Scenario-based Requirements Engineering for Complex Smart City Projects, 2022 IEEE European Technology and Engineering Management Summit (E-TEMS), Bilbao, Spain.

Wolff, C., Tendyra, P., Wiecher C. (2021). Agile Systems Engineering in Complex Scenarios, 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Cracow, Poland.

Bildgebende Verfahren der Medizintechnik 2
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10415

  • Duration (semester)

    1

  • Contact time

    4 SWS

  • Self-study

    315 h

Learning outcomes/competences

Students should be able to analyze new aspects of the technology, aesthetics and production of films and develop constructive and innovative solutions and business models for their own projects.

Contents

New aspects of the technology, aesthetics and production of film production will be presented and discussed in the form of lectures and block seminars. Some of these events will take place in cooperation with the Institute for Moving Image at Dortmunder U.

Teaching methods

Project work

Forms of examination

1 Thesis paper

Requirements for the awarding of credit points

1 grade: Grading of the thesis paper 

Applicability of the module (in other degree programs)

F FM 6 (Thesis)

Importance of the grade for the final grade

1 grade: Grading of the thesis paper

Cyber Security 1
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10423

  • Duration (semester)

    1

Cyber Security 2
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10430

  • Duration (semester)

    1

DSVM
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10413

  • Duration (semester)

    1

DT Ergänzung
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10401

  • Duration (semester)

    1

Digitale Signalverarbeitung 2
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10414

  • Duration (semester)

    1

Digitale Signalverarbeitung für (Mobil-)Kommunikationssysteme
  • WP
  • 2 SWS
  • 6 ECTS

  • Number

    10420

  • Duration (semester)

    1

Digitalfilter
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10436

  • Duration (semester)

    1

EM Design
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10428

  • Duration (semester)

    1

Einführung in Maschinelles Lernen und Künstliche Intelligenz
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10407

  • Duration (semester)

    1

Einführung in die Radartechnik
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10445

  • Language(s)

    de

  • Duration (semester)

    1

Learning outcomes/competences

Test

Einführung in die Robotik
  • WP
  • 4 SWS
  • 3 ECTS

  • Number

    10431

  • Duration (semester)

    1

Einführung in die mobile Robotik
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10425

  • Duration (semester)

    1

Embedded Systems Hardware Design and Rapid Prototyping
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10421

  • Duration (semester)

    1

Extended Reality
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10429

  • Duration (semester)

    1

Extended Reality 2
  • WP
  • 4 SWS
  • 6 ECTS

  • Number

    10433

  • Duration (semester)

    1

Grundlagen der Mensch-Computer-Interaktion
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10424

  • Duration (semester)

    1

IoT-Netze und Protokolle
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10440

  • Duration (semester)

    1

IoT-Protokolle
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10435

  • Duration (semester)

    1

  • Self-study

    900

Learning outcomes/competences

Knowledge
  • Knows state of the art in a certain scientific field
  • Knows open research questions in this field
  • Knows relevant literature
  • Knows methodology and tools to execute project
  • Knows how to document new findings according to scientific standards
Skills
  • Can define and plan an own research project
  • Can apply appropriate research methodology
  • Can create own research findings
  • Can describe state of the art, methodology and findings in a scientific report
Competence - attitude
  • Can compare own findings with state of the art and do a critical discussion
  • Can run an own scientific research project and create new findings
  • Masters uncertainty and unknown topics in new area
  • Can present and defend results (in colloquium or at a conference)

Contents

In the Master Thesis students will demonstrate their capability of own scientific research work in a bigger context. Students can do the Master thesis on a topic from a company or a larger university project. The starting point is the definition of the research questions they want to answer and the selection of the appropriate methodology. The students will plan and execute their research independently with regular review and consulting. They will summarize their finding in a Master thesis report. The intention of the Master thesis is to demonstrate familiarity with the research methodology in a certain scientific field and to formulate the scientific state of the art and the research questions. The student proves the ability to execute own and independent research on master level and with a certain complexity. The Master thesis can be done as a group work, too. The examination regulations describe how the individual grading will be conducted. Excellent results from Master theses are intended to be published and presented (oral or poster) at a conference.

Teaching methods

Master Theses are done individually or as group work, with individual supervision and review:
-    Independent research work, in a scientific project or within an internship in industry
-    Writing of a scientific report
-    Presentations to communicate and discuss the findings
-    E-learning course on scientific work and scientific writing
-    Individual review and feedback on papers and presentations

Participation requirements

None - can be based on research project thesis

Forms of examination

Assessment of the course: Master thesis about own research in an ongoing project as individual (or group) homework (90%) + presentation in colloquium (10%)

Requirements for the awarding of credit points

Only one module from semester 1 - 3 open

Importance of the grade for the final grade

25.00  %

Literature

Specific scientific literature according to topic

General literature on scientific research:

Dresch, A., Pacheco Lacerda, D., & Valle Antunes Jr., J. A. (2015). Design Science Research: A Method for Science and Technology Advancement. Springer International Publishing Switzerland.

Bailey, S. (2018): Academic Writing – A Handbook for International Students (5th ed.). Routledge, New York

Bryman, A., Bell, E. (2022): Business research methods. 3rd + Edition, Oxford University Press

Mayring, P. (2014). Qualitative content analysis, Sage

Ritchie, J., & Lewis, J. (Eds.). (2014): Qualitative research practice: A guide for social science students and researchers (2nd ed.), London: Sage

Saunders, M., Lewis, P., Thornhill, A. (2023): Research Methods for Business Students (9th ed.). Upper Saddle River: Prentice Hall.

Mathematik Ergänzungen 1
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10406

  • Duration (semester)

    1

Mathematik Ergänzungen 2
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10412

  • Duration (semester)

    1

Medizinische Signalverarbeitung
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10403

  • Duration (semester)

    1

Neuronale Netze und Deep learning
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10417

  • Duration (semester)

    1

Neurophysiologie 1
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10408

  • Duration (semester)

    1

Neurophysiologie 2
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10409

  • Duration (semester)

    1

RMS anerk.
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    RMS

  • Duration (semester)

    1

RMS anerk.
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    RMS

  • Duration (semester)

    1

Regulatorische Grundlagen für Medizinprodukte - Teil I
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10437

  • Duration (semester)

    1

Regulatorische Grundlagen für Medizinprodukte - Teil II
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10438

  • Duration (semester)

    1

Robotik
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10410

  • Duration (semester)

    1

Robotik 1
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10442

  • Duration (semester)

    1

Robotik 2
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10443

  • Duration (semester)

    1

Sensorik
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10411

  • Duration (semester)

    1

Smart Mobility
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10439

  • Duration (semester)

    1

Softwareentwicklung robotischer Systeme mit ROS
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10444

  • Duration (semester)

    1

Systembiologie 1: biologische Netzwerke
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10426

  • Duration (semester)

    1

Systembiologie 2: Systemtheorie
  • WP
  • 2 SWS
  • 3 ECTS

  • Number

    10427

  • Duration (semester)

    1

5. Semester of study

Fachpraktikum II Biomedizintechnik
  • PF
  • 5 SWS
  • 5 ECTS

  • Number

    10350

  • Duration (semester)

    1

Grundlagen der Medizin V
  • PF
  • 8 SWS
  • 10 ECTS

  • Number

    10310

  • Duration (semester)

    1

Projektorientiertes Arbeiten I
  • PF
  • 4 SWS
  • 4 ECTS

  • Number

    10340

  • Duration (semester)

    1

Seminar
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    10300

  • Duration (semester)

    1

6. Semester of study

Praxis-/Auslandssemester
  • PF
  • 4 SWS
  • 30 ECTS

  • Number

    10360

  • Language(s)

    de

  • Duration (semester)

    1

7. Semester of study

Bachelor Arbeit und Abschluss-Kolloquium
  • PF
  • 5 SWS
  • 15 ECTS

  • Number

    101

  • Duration (semester)

    1

Projektorientiertes Arbeiten II
  • PF
  • 10 SWS
  • 15 ECTS

  • Number

    10380

  • Duration (semester)

    1

Notes and references

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