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
Course ID
Course Title
ECTS value
5
Internal Course Code
Responsible study board
Date of Approval
Course Responsible
Teachers
Programme Secretary
Name | Department | City | |
---|---|---|---|
Susanne Bech Fogtmann | sfo@tek.sdu.dk | TEK Uddannelseskoordinering og -support |
Offered in
Level
Offered in
Duration
Mandatory prerequisites
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.
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 simulationsIn addition, we may also have a guest lecturer.
URL for Skemaplan
Teaching Method
Number of lessons
48 hours per semester
Teaching language
Examination regulations
Exam regulations
Name
Exam regulations
Examination is held
By the end of the semester
Tests
Exam
EKA
T550011102
Name
Exam
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.
Additional information
Please note there is no timetable guarantee for this elective course.
Taught with students from Master of Science in Biology.
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 |