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Advanced Topics in Intelligent Data Analysis
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[ms_accordion_item title=”Coordenadores” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]Hernâni Gonçalves 
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[ms_accordion style=”simple” type=”1″ class=”” id=””] [ms_accordion_item title=”Intended learning outcomes of the curricular unit” color=”#7b89b6″ background_color=”” close_icon=”” open_icon=”” status=”open”]
The objective of this curricular unit is to place the students in contact with advanced topics in health intelligent data analysis, allowing them to have an up-to date and wide knowledge of the theme, which will be useful to them both in the use and/or in development of this type of methodologies.
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[ms_accordion style=”simple” type=”1″ class=”” id=””] [ms_accordion_item title=”Syllabus” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
The contents of this curricular unit will cover the several fields of intelligent data analysis, namely methodologies for the visualization, pre-processing, mining and classification of data, as well as the extension of the contents from other related curricular units.
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[ms_accordion_item title=”Demonstration of the syllabus coherence with the curricular unit’s intended learning outcomes” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
The presented contents will provide the students with the necessary and sufficient concepts to identify the state-of-the-art and the most recent developments in health intelligent data analysis, through a seminar series which will be given by researchers/experts related with each of the selected topics.
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[ms_accordion_item title=”Teaching methodologies” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
The teaching methodology is based on a seminar series comprising theoretical exposition and discussion of the theme, which also allows the speakers for sharing important aspects of their experience. The evaluation is based on a final exam (100%).
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[ms_accordion_item title=”Demonstration of the coherence between the teaching methodologies and learning outcomes” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
The theoretical exposition in the form of a seminar series allows not only teaching to the students each topic content by itself, as well as the interaction with each of the researchers/experts, allowing in this way the students for the perception of different experiences and the development of skills and good practices when using and/or developing methodologies from each topic.
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[ms_accordion_item title=”Main bibliography” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
Berthold, M., & Hand, D. J. (2003). Intelligent Data Analysis. Springer Berlin Heidelberg.
Berthold M. R., Borgelt, C., Höppner, F., & Klawonn, F. (2010). Guide to Intelligent Data Analysis. Springer-Verlag London.
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