• Must have a basic understanding of the overall design of
Lab-on-a-Chip devices and fabrication approaches required to
construct them.
• Must have knowledge of the major types of sensors used in
Lab-on-a-Chip devices and their functioning, including
electrochemical, mechanical and optical sensors.
• Must have knowledge of the basic fluid mechanics.
• Must have knowledge of basic phenomena involved in Lab-on-a-Chip
de-vices including fluid behavior, diffusion, electrokinetics, as
well as specif-ic aspects of flow on nanoscale.
• Must be able to select and apply a suitable sensor for a
Lab-on-Chip device and analyze the data obtained
• Must be able to solve analytically simple problems in fluid
mechanics and microfluidics.
• Must be able to perform modelling of simple Lab-on-Chip devices
using COMSOL Multiphysics.
• Must be able to suggest and apply basic fabrication approaches
for Lab-on-Chip devices
• Must demonstrate good knowledge of basic fluid mechanics and
be able to apply them to real-world problems.
• Must be able to model flow and diffusion in simple Lab-on-a-Chip
devices using COMSOL multiphysics.
• Must be able to design a simple Lab-on-a-Chip device, analyze its
performance and select suitable fabrication strategy
Lectures and practical exercises.
This is a 5 ECTS course module and the work load is
expected to be 150 hours for the student.
Name of exam | Lab-on-a-chip (DINA) |
Type of exam | Written or oral exam |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | As stated in the Joint Programme Regulations.
http://www.engineering.aau.dk/uddannelse/Studieadministration/ |
Danish title | Lab-on-a-chip (Bachelor of Engineering in Nanotechnology) |
Module code | F-NAN-B6-4D |
Module type | Course |
Duration | 1 semester |
Semester | Spring
|
ECTS | 5 |
Language of instruction | Danish and English |
Empty-place Scheme | Yes |
Location of the lecture | Campus Aalborg |
Responsible for the module |
Study Board | Study Board of Mathematics, Physics and Nanotechnology |
Department | Department of Mathematical Sciences |
Faculty | Faculty of Engineering and Science |