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Biochemical Sensors

Would you like to learn how biochemical sensors can be useful in the treatment of diseases such as diabetes or in the quality control of food or drugs? And do you want to understand the biochemical and technical background? In this module you will get a general overview of biosensors with different focal points, such as the chemical and molecular biological basics, biological detection methods, physical signal transmission methods and immoblization techniques, as well as biochip technologies.

  • Acquire basic knowledge of biochemical sensors
  • Flexible blended learning format
  • Study while you work

Dates / Location / Cost

DateLocation Costs
This course has already started. Future sessions are being planned.

Institution and Location


School of Advanced Professional Studies Ulm University


Ulm University

Target Audience and Prerequisites

Target Audience

The module “Biochemical Sensors” is aimed at bachelor, diploma or state examination graduates with solid basic knowledge in an engineering subject, technical computer science or physics, who would like to deal intensively with issues relating to sensor technology and systems engineering.


Prerequisite is a first university degree e.g. bachelor, diploma, state examination etc. in a technical subject.

Content and Learning Objectives


  • Introduction to biosensors
  • Review of the basics of chemistry and molecular biology
  • Biological detection methods: catalytic, immunologic, etc.
  • Physical transduction methods: electrochemical, optical, gravimetric, etc.
  • Immobilization techniques: adsorption, entrapment, cross-linking, covalent bonds
  • Biochip technologies: DNA and protein chips, Ion-channel devices, MEA and MTA, Implants
  • Laboratory practice with experimental demonstrations and quantitative determinations of analytes

Programme Details

The online study takes place in self-study and in the form of group work. For self-study, video lectures are available, which clearly present the module content, and a detailed script. The reader-friendly script is prepared according to the didactic concept of the University of Ulm for part-time participants. It contains, for example, learning stops, multiple and single choice questions, quizzes, exercises, etc.

Your mentor will offer you online consultation sessions in the form of seminars at regular intervals to support you in working through the learning material.

There is also another forum for participants to exchange ideas with each other.

The theoretical knowledge acquired will be deepened with the help of a laboratory practical as a presence event and by means of exercises.

Learning Objectives

  • Participants will be able to describe the fundamentals, mechanisms of action and applications of biosensors and explain the chemical and physical principles of biosensor technology.
  • They are further able to analyze biosensors, break down complex sensors into their elementary components and identify each individual function in the information flow
  • Participants will be able to predict the effects of elementary components in an integrated biosensor application
  • Participants will be able to evaluate clinical and industrial applications and differentiate biosensor market sectors in terms of technical and economic characteristics
  • They will be able to reflect and critically analyze research in the field of biosensors
  • Finally, participants will be able to develop appropriate concepts and designs for given biosensor problems
  • They are further able to independently derive original solutions for new problems

Course Format, Certification, Quality Assurance

Course Format



Upon successful completion of the module, you will receive a certificate as well as a supplement that lists the contents of the module as an overview.


The module requires a total of 180 hours of workload.


Deutsch / English

Dates and Deadlines

This course has already started. When new courses become available they will be added.


Dr. Alberto Pasquarelli, Institute of Electronic Devices and Circuits

Would you like to know more?

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