Single-Course English 5 ECTS

Principles of brain computer interface

Overall Course Objectives

The objective is to obtain basic understanding of Brain Computer Interface (BCI: Computer-based systems that record, decode and translate measurable neurophysiological signals into commands for output devices to perform an action without any muscular activation). This is achieved by incorporating real-time signal processing methods for the feature extraction and classification in EEG (electroencephalography)-based BCIs.

Learning Objectives

  • describe the EEG signals that can be detected as markers of mental activity
  • describe different BCI systems and neural prostheses
  • apply signal processing techniques to condition the EEG signals
  • develop methods for extracting relevant features
  • implement classification algorithms to classify these signals
  • build a functioning BCI system
  • review and present selected scientific articles
  • discuss the developments and the future of this field

Course Content

Brain-Computer Interface based on different types of EEGs will be covered in the form of lectures, discussions, practical and theoretical learning methods. The students will be asked to present a scientific article. A BCI design group project (group of 2) using the available BCI data or new data will be completed with a final report and a presentation.

Recommended prerequisites


Teaching Method

Student presentation of scientific articles
Group project work


Limited number of seats

Minimum: 10.

Please be aware that this course will only be held if the required minimum number of participants is met. You will be informed 8 days before the start of the course, whether the course will be held.

See course in the course database.





3 weeks


Health Tech


DTU Lyngby Campus

Course code 22053
Course type Candidate
Semester start Week 1
Semester end Week 35
Days Mon-fri 8:00-17:00

7.500,00 DKK

Please note that this course has participants limitation. Read more