Long name |
image processing master
|
Approving CModule |
DLO_MaET, DLO_MaMT, DLO_MaTIN
|
Responsible |
Prof. Dr. Jan Salmen Professor Fakultät IME
|
Valid from |
summer semester 2021 |
Level |
Master |
Semester in the year |
summer semester |
Duration |
Semester |
Hours in self-study |
60 |
ECTS |
5 |
Professors |
Prof. Dr. Jan Salmen Professor Fakultät IME
|
Requirements |
The students should have some basic knowledge about image processing and pattern recognition |
Language |
German
|
Separate final exam |
Yes |
Final exam
Details |
project documentation
|
Minimum standard |
The documentation has to contain a description of the applied method and the achieved results. Principles of scientific work have to be applied. The used programs must run without errors, and the results must be plausible.
|
Exam Type |
EN schriftlicher Ergebnisbericht
|
Learning goals
Goal type |
Description |
Knowledge |
Deep learning algorithms and their application for object recognition in images. |
Knowledge |
learneing algorithms, their training and evaluation |
Expenditure classroom teaching
Type |
Attendance (h/Wk.) |
Lecture |
2 |
Tutorial (voluntary) |
0 |
Accompanying material
|
undefined
|
Separate exam
|
No
|
Learning goals
Goal type |
Description |
Skills |
training of a neural network |
Skills |
evaluation of the performance of a neural network |
Expenditure classroom teaching
Type |
Attendance (h/Wk.) |
Practical training |
3 |
Tutorial (voluntary) |
0 |
Accompanying material
|
undefined
|
Separate exam
|
Yes
|
Separate exam
Exam Type |
EN Übungsaufgabe mit fachlich / methodisch eingeschränktem Fokus lösen |
Details |
Training and evaluation of a neural network with dedicated examples |
Minimum standard |
Presence and active colaboration |
Learning goals
Goal type |
Description |
Knowledge |
reading of selected literature
|
Skills |
in-depth implementation and evaluation of selected image processing method
|
Skills |
document results in an adequate way
|
Skills |
implement algorithim from literature
|
Skills |
assessment of results
|
Expenditure classroom teaching
Type |
Attendance (h/Wk.) |
Project |
0 |
Tutorial (voluntary) |
0 |
Accompanying material
|
elektronische Version der verwendeten Literatur
|
Separate exam
|
No
|
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