| Course title | Matlab and its applications |
|---|---|
| Course code | KI/0170 |
| 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 |
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1.Basic information, rules, conditions, introduction of particular topics of the course. Revision of knowledge of Matlab and its functions. 2.Image processing: problem definition, areas of interest, basic methods, selected tasks (data from real experiment) 3.Image processing: Creating own Matlab code. 4.Image processing: optimization of the code, analysis of results, discussion. 5.Signal processing: problem definition, areas of interest, basic methods, selected tasks (real signals from ECG, control the experiment via signal) 6.Signal processing: Creating own Matlab code. 7.Signal processing: optimization of the code, analysis of results, discussion. 8.Statistical data processing: basic statistics and data representation, built-in functions in Matlab. 9.Statistical data processing: curve fitting, regression, extrapolation, etc... 10.Statistical data processing:Creating own code, optimization and comparison of results. 11.Advanced graphical user interface: Matlab guide. 12.Data visualization: 3D figures, opengl acceleration 13.Revision of topics and methods. Working on Matlab codes.
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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Course broadens skills gained in previous course KI/MAI or any other course where students gain basic knowledge about Matlab. Particular technical and science issues mainly from signal and image processing are solved in this course in Matlab. Moreover, statistical data processing and advanced graphical user interface are discussed as well.
Student will know how to use Matlab for problems from signal and image processing field and from statistical data processing. Furthermore, student will know how to create graphical user interface for better readability of results. |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
Creating and submitting own code in Matlab. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | 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 Sciences (double subject) (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |