Course unit
Last updated: 26/09/2024
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Course Director(s):
DEBAYLE Johan
Key words:
Image analysis
Machine learning
Convex geometry
Integral geometry
Fractal geometry
Stochastic geometry
Point patterns
convex hull
Delaunay triangulation
alpha-shapes
statistical shape analysis
neural networks
Number of teaching hours
80
Fields of study
Mathematics
Computer Science, Information Systems
Teaching language
English
Intended learning outcomes
| On completion of the unit, the student will be capable of: |
Classification level |
Priority |
Learning assessment methods
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Percentage ratio of individual assessment
|
Percentage ratio of group assessment
|
|
Written exam:
|
2
|
%
|
Project submission:
|
|
%
|
|
Individual oral exam:
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|
%
|
Group presentation:
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|
%
|
|
Individual presentation:
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|
%
|
Group practical exercise:
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|
%
|
|
Individual practical exercise:
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2
|
%
|
Group report:
|
|
%
|
|
Individual report:
|
1
|
%
|
|
|
|
|
Other(s): %
|
Programme and content
| Type of teaching activity |
Content, sequencing and organisation |