|
Surfaces Interfaces and their
Applications |
Machine Learning |
Bioelectronics and Biosensors |
Quantitative Flow Visualization |
Image Analysis and Computer Vision |
Energy Conversion and Transport in Biosystems |
Project |
N |
Y |
Y |
N |
N |
Y |
Project content |
- |
Medical
image analysis |
Modelling:
1) a stretchable electronic
device
2) action potential propagation in axon |
- |
- |
1)
Modelling protein import into nucleus
2) Poster session
3) Evaluation of cellular forces from microscopy images |
Done
in team? |
- |
Y |
N |
- |
- |
Y (poster session)
N (other
two) |
Composition of final grade |
just
exam |
exam,
project can be counted as bonus |
exam,
project can be counted as bonus |
just
exam |
just
exam |
70%
exam, 15% projects, 15% exercises |
Exam
type |
written (120 minutes) |
written (180 minutes) |
written (180 minutes) |
oral (30 minutes) |
oral (30 mintues) |
written (120 minutes) |
Exercises |
4-6
fairly simple problems, weekly |
4-6
pen & paper problems, weekly |
4-6
pen & paper problems, weekly |
weekly
programming assignements |
3
assignements (programing and theory) |
5-6
fairly simple problems, weekly |
Tutorials
format |
indpendent exercises
solving with profesor being around to help |
repetition of what was
taught in the lecture this week |
presentation of 1)
solutions from previous week and 2) exercises for current week, possible
Q&A |
indpendent exercises solving
with TA being around to help |
indpendent exercises solving
with TA being around to help |
presentation of 1)
solutions from previous week and 2) exercises for current week, possible
Q&A |
Average per-week time
investment (as perceived) |
lecture = 2h
exercise = 1h |
lecture = 3h
tutorial = 2h
exercise = 5h
project = 3h |
lecture = 2h
tutorial = 2h
exercise = 4h
project = 1.5h |
lecture = 2h
exercise = 2h |
lecture = 3h
exercise = 1h |
lecture = 2h
exercise = 2h
project = 1.5h |
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