Course syllabus


BMEF20, 7,5 credits, G2 (First Cycle)

Valid for: 2019/20
Decided by: PLED BME
Date of Decision: 2019-03-28

General Information

Main field: Technology.
Elective for: BME4-br, F4, F4-mt, N4, Pi4
Language of instruction: The course will be given in English


The aim of this course is to give a broad overview of neural engineering concepts and principles for recordning outgoing and generating ingoing neural signals. The course will give insights into existing and future neural interfaces, neural prostheses and neurorobotics.

Learning outcomes

Knowledge and understanding
For a passing grade the student must



Competences and skills
For a passing grade the student must



Judgement and approach
For a passing grade the student must




The course will introduce principles and technologies of neuroengineering applications including basic human neurophysiology and -anatomy, brain stimulator, spinal cord stimulation, functional electrical stimulation (FES), neural-machine interface for motor prosthesis control, artificial visual and augitory devices for augmented sensory perception.

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Compulsury parts to be passed: lab exercises including reports, assignments, written essay, active participation in ethics seminar and a written exam.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Code: 0118. Name: Written Exam.
Credits: 5. Grading scale: TH. Assessment: Approved exam Contents: Written exam
Code: 0218. Name: Written Assignments.
Credits: 2,5. Grading scale: UG. Assessment: Completed laboratory work with approve laboratory report and approved assignments. Approved essay and a reflection showing active participation in the seminar on ethics. Contents: Laboratory works with report, assignments, essay and a short reflection from the seminar on ethics


Required prior knowledge: Mathematics, Physics and Physiology.
The number of participants is limited to: 32
Selection: Credits taken within the programme. Priority is given to students enrolled on programmes that include the course in their curriculum.

Reading list

Contact and other information

Course coordinator: Christian Antfolk,
Further information: Expert guest lecturers from other faculties or other universities may appear.