BioRobotics for Beginners

Academic Study Board of the Faculty of Engineering

Teaching language: English
EKA: T550011102
Censorship: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Master

Course ID: T550011101
ECTS value: 5

Date of Approval: 12-07-2022


Duration: 1 semester

Version: Approved - active

Mandatory prerequisites

Matlab experience is required; RMAI2 is recommended.

Content

  • Hands-on neurophysiology: simple animal experiments
  • Understanding simple neuron models and their equivalent engineering models
  • Implementing neuron models and building simple neural circuits for sensing, actuation and locomotion in Matlab
  • Evaluating the neural models and circuits in Matlab simulations

    In addition, we may also have a guest lecturer.

Overall learning objectives

Upon completion of the course, the student will be able to extract relevant principles of sensing and actuation from biological systems and apply them to technology.

Learning objectives - Knowledge

  • basic principles of biorobotics.
  • basic understanding of biological sensing and actuation.
  • understanding of how simple nervous systems work.
  • how to abstract principles from biology for engineering application.

Learning objectives - Skills

  • execution of simple techniques in experimental biology and implementation of their corresponding engineering models.
  • familiar with vocabulary in scientific publications in biology.
  • able to interpret scientific results in biological sciences.
  • able to model biological systems with engineering models and evaluating them.

Learning objectives - Competences

  • the ability to understand the neural bases of sensing and actuation in biological systems, and use the knowledge to build and evaluate corresponding engineering models.
  • the ability to interpret scientific research in biology and implement appropriate engineering models to validate the research technologically.

Teaching Method

Lectures, seminars, exercises and project work. 

Examination regulations

Exam regulations

Examination is held

By the end of the semester 

Tests

Exam

EKA

T550011102

Form of examination

Oral examination

Censorship

Second examiner: Internal

Grading

7-point grading scale

Language

English

ECTS value

5

Additional exam information

The form of examination in the re-examination is the same as in the ordinary examination.

Course Responsible

Name Email Department
Kamilla Juel Sørensen kjs@tek.sdu.dk TEK Uddannelseskoordinering og -support

Teachers

Name Email Department City
Danish Shaikh danish@mmmi.sdu.dk SDU Biorobotics

Programme Secretary

Name Email Department City
Anna Schollain avs@tek.sdu.dk TEK Planning

Internal Course Code

RM-BRB

Offered in

Odense

URL for Skemaplan

Number of lessons

48 hours per semester

Additional information

Please note there is no timetable guarantee for this elective course. 
Taught with students from Master of Science in Biology.

Administrative Unit

Mærsk McKinney Møller Instituttet

Date of Approval

12-07-2022

Courses offered

Offer period Offer type Profile Education Semester
Fall 2023 Optional MSc in Robot Systems, 2023, Advanced Robotics Technology (ART) Master of Science in Engineering (Robot Systems) | Odense
Fall 2023 Optional MSc in Robot Systems, 2022, Advanced Robotics Technology (ART) Master of Science in Engineering (Robot Systems) | Odense
Fall 2023 Optional MSc in Robot Systems, 2022, Drones and Autonomous Systems (DAS) Master of Science in Engineering (Robot Systems) | Odense
Fall 2023 Optional MSc in Robot Systems, 2023, Drones and Autonomous Systems (DAS) Master of Science in Engineering (Robot Systems) | Odense

Studieforløb

Profile Education Semester Offer period