[vc_section][vc_row][vc_column][vc_row_inner][vc_column_inner width=”1/4″][vc_single_image image=”2733″ img_size=”full” el_class=”.non-padding” css=”.vc_custom_1572442136367{margin-right: -15px !important;margin-left: -15px !important;}”][/vc_column_inner][vc_column_inner width=”1/2″][/vc_column_inner][vc_column_inner width=”1/4″][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_column_text css=”.vc_custom_1643615637337{margin-left: -15px !important;padding-top: 5px !important;}”] Syllabus
Moodle
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Learning outcomes:
Students should be able to:
– to know and use the basic principles of intellectual data processing and hybrid artificial intelligence methods for domain modeling and data processing, including in the field of biomedicine;
– to know and use the appropriate mathematical, algorithmic and software to analyze the data and find the hidden dependencies and behaviors of the subject areas, including in the field of biomedicine;
– to build models and find dependencies in the behavior of subject areas by methods of computational intelligence, namely, by means of neural networks, systems based on fuzzy inference, neural-fuzzy networks, using specialized software;
– to imply intelligent data processing algorithms and user interfaces of integrated computer systems and software systems to use computational intelligence methods in processing database content, including biomedical content.
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