Course title | Signal and image processing of biological and physiological data |
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Course code | KI/0206 |
Organizational form of instruction | Seminary |
Level of course | Bachelor |
Year of study | not specified |
Semester | Winter and summer |
Number of ECTS credits | 2 |
Language of instruction | Czech |
Status of course | Compulsory-optional |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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Course content |
- Introduction to signal and image processing (methods, algorithms and their implementation in Python) - Advanced methods for processing the physiological signal, event detection and its visualization - Advanced methods for processing the biological data (obtained from several diagnostic devices), object detection and discrimination
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Learning activities and teaching methods |
unspecified |
Learning outcomes |
Aim of this course is to apply advanced signal and image processing methods on data obtained by various diagnostic devices. Data used in this course can represent physiological activity of heart, muscles, brain, or images of cells obtained by microscopes (fluorescence, optical, etc.) or by several other diagnostic devices.
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Prerequisites |
unspecified
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Assessment methods and criteria |
unspecified
active participation in seminars and submission of functional codes |
Recommended literature |
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Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
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Faculty: Faculty of Science | Study plan (Version): Information Sciences (double subject) (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): - (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Information Sciences (double subject) (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Information Systems (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |