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Course image processing master
Course
Meets requirements of following modules(MID)
Course Organization
Assessment
Course components
Lecture/Exercise
Lab
Project
Responsible:
Prof.Dr, Dietmar Kunz
Course
Meets requirements of following modules(MID)
in active programs
Ma MT2012 BVA
Course Organization
Version
created
2012-01-05
VID
1
valid from
WS 2012/13
valid to
Course identifiers
Long name
image processing master
CID
F07_BVA
CEID (exam identifier)
Contact hours per week (SWS)
Lecture
1
Exercise (unsplit)
Exercise (split)
Lab
1
Project
Seminar
1
Tutorial(voluntary)
Total contact hours
Lecture
15
Exercise (unsplit)
Exercise (split)
Lab
15
Project
Seminar
15
Tutorial (voluntary)
Max. capacity
Exercise (unsplit)
Exercise (split)
Lab
18
Project
Seminar
30
Total effort (hours):
150
Instruction language
German
Study Level
graduate
Prerequisites
Textbooks, Recommended Reading
Instructors
Prof.Dr.Dietmar Kunz
Supporting Scientific Staff
Transcipt Entry
Advanced Topics in Image Processing
Assessment
Type
wR
100 %
Total effort [hours]
wR
20
Frequency:
1/Jahr
Course components
Lecture/Exercise
Objectives
Lerninhalte (Kenntnisse)
ill-posed problems
regularization
iterative methode
mutual information
registration of image data
Acquired Skills
Operational Competences
Additional Component Assessment
Type
Contribution to course grade
Frequency:
1/Jahr
Lab
Objectives
Lerninhalte (Kenntnisse)
Acquired Skills
implement iterative image processing methds
test image processing methods
Operational Competences
prepare results
summarize and present results
assess results
Additional Component Assessment
Type
fPS
not rated
Contribution to course grade
fPS
0%
Frequency:
1/Jahr
Project
Objectives
Lerninhalte (Kenntnisse)
reading of selected literature
Acquired Skills
in-depth implementation and evaluation of selected image processing method
Operational Competences
document results in an adequate way
implement algorithim from literature
assessment of results
Additional Component Assessment
Type
wR
project documentation
Contribution to course grade
wR
100 %
Frequency:
1/Jahr
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Topic-Revision: r4 - 11 Jan 2016,
GeneratedContent
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