Biomedical Engineering Summer School

25th August to 14th September 2019 at Jade University

Organised by Jade University - Department of Engineering Sciences and International Office


The Department of Engineering Sciences and the International Office of Jade University offer a three-week summer school in Biomedical Engineering.  The summer school covers two course lanes focusing on “Basics of Biomedical Engineering” and ”Biomedical Signal and Image Acquisition, Processing and Analysis”.

Our ageing human society puts severe constraints on health care systems with regard to the demands of costs, quality, and personnel. There is a growing need for innovative medical technology solutions. Implementation of the latest technology will have a significant impact on future medical care, diagnosis, and the alleviation of diseases. Technical innovation can also provide solutions such as telemetry, distant-virtual consulting and checking, the automation of processes, and robot technology. Intelligent implants that use new design methods, materials, and software can keep patients mobile and fit as long as possible. Early recognition using accurate diagnostic equipment that employs imaging techniques, lab-on-chip analysis, and advanced sensors can reduce treatment costs and improve recovery rates. As one of the consequences, medical care could be provided at home, instead of in a hospital, thus for instance reducing costs.

The aim of the course is to provide an introduction to the multidisciplinary field of Biomedical Engineering by examining the basics of the development of medical devices in general. Focusing on applications for medical technologies, biosensors and their electronic systems, biosignal and image processing and the simulation of biomechanics, the contents are developed in lectures, lab work and field trips. The multicultural focus of the course is intensified by the presence of an international lecturing staff drawn from several centers of excellence in the field of biomedical engineering. Another key learning outcome of this course is provided by the interaction of international students in group-based projects and organized social events.

The summer course covers the above named two course lanes. One of them is addressed to undergraduate students, while the other requires a Bachelor’s degree and is part of Master studies of Jade University and the partner institutions. It is strongly recommended that students do not change the lane.

The course language is English. The presence of teachers as well as students from foreign countries requires the use of a shared language as the basis of everyday communication and interaction, and gives better motivation than a language course at a home university ever could. 

This annual summer course is a regular part of the Bachelor of Biomedical Engineering and Master of Electrical Engineering programs at Jade University, and is accepted by our partner universities.


Biomedical Engineering Summer School Wilhelmshaven 2019
DateLane A
Fundamentals of Biomedical Engineering
(Undergraduate students)
Lane B
Biomedical Signal and Image Acquisition, Processing and Analysis
(Graduate students)
26.08.MonWelcome - Workshop "German Language and Culture" - Introduction to courses (afternoon session)

Introduction to Project Management

Lecture room

Amperometric Biosensors and Related Electronics
(Çökeliler / Koçum)

Lecture room / IT-public (PC-Lab) / Lab

SatExcursions:    Sat: Mudflat Hiking (Baltrum), Sun: Meyer Shipyard (Papenburg)

Biomechanical Modelling of Implanted Bone Systems
(Rusu / Stoia)

IT-public (PC-Lab)

Instrumentation, Acquisition and Signal Processing for Biosignals
(Chávez-Campos / Yüksekkaya)

Lecture room / IT-public (PC-Lab) / Lab

Excursion to Hamburg:    Fri: Löwenstein Medical, Sat: Airbus, Miniaturwonderland, Sun: Free time till noon


Artificial Intelligence and Biomedical Engineering
(Chiaradia Masselli)

IT-public (PC-Lab)

Medical Image Processing using Matlab
(Chávez-Campos / Kertész)

Lecture room / IT-public (PC-Lab) / Lab

13.09.FriPresentations of project results (all courses together) - Student evaluation
Final Award Presentation

Normal timetable

9:00 amStart morning session
12:00 noonLunch
1:00 pmStart afternoon session
4:00 pmEnd

Course Abstracts

In this year's summer course we offer one course for undergraduate students (Lane A) and one course for graduate students (Lane B). Please find the respective course descriptions in the following tables:

Lane A: Fundamentals of Biomedical Engineering 

Introduction to Project Management

Miklós Daróczi

The main objective of the course is to deliver some theoretical and practical knowledge related mainly to the project planning, scheduling and budgeting. The module starts by defining the project and differentiating project management from general management. The project manager’s role, the project life cycle and the elements of project plan are also briefly discussed. The common formats of schedule the Gantt-charts and PERT/CPM networks, some methods of budgeting and cost estimating are also covered. Based on these techniques students will be able to participate in project planning and implementation.

Student teams will prepare a report and give a presentation on a special project. The purpose of this assignment is to deepen your knowledge on planning projects and to share that knowledge with the rest of the group. The topic of the project will be selected by the students.


Biomechanical Modelling of Implanted Bone Systems

Lucian Rusu, Dan Ian Stoia

Knowledge on Modelling of Biomechanical Behaviour of Implanted Bone Systems contributes to the development of new implants/prostheses having a better long-time functionality, develop-ment of corresponding surgical instruments, injury prevention, and not at least to manage with ageing.

The course topics consist in:

  • Basic anatomical knowledge - bones, joints, muscles and possible motions in human joints
  • Implants, prostheses, and ortheses – implant design, biomaterials, customized implant manufacturing
  • Kinematic modelling of biomechanical systems – motion study, Denavit-Hartenberg convention
  • Static modelling of biomechanical systems
  • Numerical analysis - basics of FEM theory and general ANSYS specific capabilities
The course consists of theoretical sessions followed by computer simulations.


Artificial Intelligence and Biomedical Engineering

Yvo Marcelo Chiaradia Masselli

The course aims at presenting the most commonly used techniques of Artificial Intelligence as well as its applications in Biomedical Engineering, such as bioelectric signal processing, pattern recognition and automatic development of diagnostic.

Neural Networks and Fuzzy Logic will be treated as the main topics throughout the course.

By the end, the student will be able to project and implement, in specific softwares, solutions for typical problems on the field.

Lane B:     Biomedical Signal and Image Acquisition, Processing and Analysis

Amperometric Biosensors and Related Electronics

Dilek Çökeliler, Cengiz Koçum

Biosensors are used to detect biological or chemical markers (bio-chemicals, DNA, protein, cells etc.) in order for diagnosis, environmental monitoring and pharmaceutical research. This course represents the fundamental science and engineering concepts of designing biosensors through a common example. Biosensors have three main parts; biorecognition layer, transducers and electronics and they usually produce an electrical signal related to the specific analyte. In this course with lectures and practical exercises students will design and implement the main parts of an amperometric biosensor capable of glucose monitoring. Students will gain an insight of the complexities and design principles of a biosensor from scratch.

Course Outline:

  • Introduction to biosensors and nanobiosensors
  • Types of biorecognition elements
  • Surface functionalizing and modification approaches for biosensors
  • Transducer Basics: Sensors and Actuators
  • Signal acquisition and conditioning principles
  • Amperometric glucose biosensors
  • Design and productionof glucose sensing layer
  • Signal conditioning for the amperometric glucose biosensor
  • Electronic circuit and PCB design
Date Course Syllabus
1 Fundamental concepts of biosensors and related electronics
2 Design, production and pre-tests of biorecognition part of the biosensor
3 Design, implementation and tests of transducers and electronics part of the biosensor
4 Integration of biorecognition layer and electronic parts and application of the biosensor


Instrumentation, Acquisition and Signal Processing for Biosignals

Gerardo Marx Chávez-Campos, Mehmet Yüksekkaya

Biomedical signals are used to obtain crucial information about human health for diagnosis and treatment follow up. Acquiring biosignals from human body to a computer system is called biosignal acquisition and conditioning. For signal acquisition and conditioning, appropriate electronic instrumentation should be designed. In order to extract the crucial information from the acquired data, it should be processed.

This course is designed to be a practical introduction for all those stages. Students will design a basic instrumentation circuitry to acquire a specific biosignal and learn the fundamentals of signal conditioning. Further, they will learn the essential principles of digital signal processing and will apply those principles in a practical example. After this course, students will get significant theoretical and practical skills for biosignal acquisition and processing.

Course Synopsis:

  • Introduction to the design of analog circuits for signal conditioning
  • Practical design of a biosignal acquisition instrument
  • Introduction to digital signal processing
  • Processing of biosignal for feature extraction
Date Course Syllabus
1 Introduction to biosignal acquisition and digital signal processing theory. Practical introduction to MATLAB and PCB circuit design
2 Design, implementation and tests of a practical biosignal acquisition instrumentation
3 Fundamentals of digital signal processing to be applied for the design
4 Biosignal analysis and feature extraction


Medical Image Processing using Matlab

Gerardo Marx Chávez-Campos, Gábor Kertész

The goal of the lecture is to provide an introduction to medical imaging and image processing, both in theory and in applications.
The course starts with a basic introduction to the Image Processing Toolbox in Matlab. Image representation, and the fundamentals of image processing will be explained. Image filtering and enhancement methods, such as intensity based methods and mask based functions, edge detection will be introduced and implemented. Methods of noise removal, the different types of noise will follow, with an application of filtering in the frequency domain, based on the previous lectures. 

Course topics:

  • Fundamentals of image processing
  • Intensity-based methods
  • Spatial filtering
  • Histogram and contrast
  • Edge detection
  • Noise removal
  • Filtering in the frequency domain, low-pass filter

Costs and Facts

Target groupUndergraduate students of engineering after 2 years of study (lane A) and graduate students of engineering (lane B)
Course creditsup to 6 ECTS credits
LocationJade University in Wilhelmshaven, northern part of Germany
Time25th August until 14th September 2019
OrganizerJade University 
Department of Engineering Sciences
Registration deadline15th May 2019
Please use online application form 
Application, course fee & funding

General course fee: 500 Euro

International students:
All international students have to submit the following documents by e-mail to Iris Wilters:
Statement of motivation, curriculum vitae, passport copy, most recent grades and a letter of recommendation from a professor.
We will inform you by 10th June 2019 whether you are accepted or not.

Students from partner universities (see list below):
Ask your local coordinator to sign up. She/he will tell you about the special costs which your group of students will have to pay and what further information we need.

Students from Jade University:
Students from Jade University have to be registered for autumn semester 2019/20.  
Ask the organisation team in Wilhelmshaven for further information and course fees.

Students from abroad may be eligible for a scholarship and will be informed about the possibilities after having handed in their complete application documents.

If you have any questions please contact our International OfficeIris Wilters.

Board & lodging

We will book a shared room on a houseboat for you, costs 420 Euro per 3 weeks (including breakfast). If you wish to stay in a single room, we recommend to look for a hotel room.

Please note that there are no cooking facilities on the houseboat. You can obtain a low-cost lunch in the university canteen. For dinner you will have to go to restaurants or buy snacks.

Partner institutions

Baskent University Ankara (Turkey)
Dilek Çökeliler

Instituto Nacional de Telecomunicações - Inatel (Brazil)
Yvo Marcelo Chiaradia Masselli

Morelia Technological Institute (Mexico)
Gerardo Marx Chávez-Campos

Óbuda University (Hungary)
Gábor Kertész

St. Istvan University (Hungary)
Miklós Daróczi

Universitatea "Politehnica" din Timisoara (Romania)
Lucian Rusu


Thank you for your interest in our Biomedical Summer School! The application period for the next summer school starts in April 2020.

Participating Partners

Baskent University

Biomedical Engineering Department
Ankara, Turkey

Prof. Dilek Çökeliler
Prof. Dilek Çökeliler
Ass.Prof. I. Cengiz Koçum
Cengiz Koçum
Mehmet Yüksekkaya, M.Sc.
Mehmet Yüksekkaya

Instituto Nacional de Telecomunicações - Inatel

Santa Rita do Sapucaí, Brazil

Prof. Dr. Yvo Marcelo Chiaradia Masselli
Yvo Marcelo Chiaradia Masselli
[Translate to English:] Prof. Gerardo Marx Chávez-Campos
Gerardo Marx Chávez-Campos

Óbuda University

Budapest, Hungary

Gábor Kertész
Gábor Kertész

Szent István University

Gödöllö, Hungary

Dr. Miklós Daróczi, Associate Professor
Miklós Daróczi

Universitatea "Politehnica" din Timisoara

Mechanical Engineering Faculty
Timisoara, Romania

Dr. Lucian Rusu
Lucian Rusu
Dr. Dan Ioan Stoia
Dan Ioan Stoia

Jade University

Wilhelmshaven, Germany

Kai-Christian Struß
Kai-Christian Struß
Dipl.-Ing. Mattias Bost
Mattias Bost