Class Decision Support Systems

Decision making is vital in logistical planning processes. The UC, Decision Support Systems (DSS),
promotes the introduction to the discovery of knowledge in databases in support and better decision
making. Therefore, the DSS have a structuring importance in the study cycle for the understanding of
support systems in decision-making and Knowledge Management.

1. Introduction to Decision Support Systems (DSS).
2. Characteristics, structure and functioning of SAD.
3. SAD's in the decision-making process.
4. Business Intelligence (BI) Technology. Introduction to the Power BI application.
5. Enterprise Resource Planning (ERP) system. Characteristics, attributes and functional scope in the integrated management of resources and optimization of decision making.

Classes are theoretical-practical. In the theoretical parts, the fundamental concepts, characteristics,
structuring and functioning of the Decision Support System are presented in the discovery of knowledge
in databases and in supporting decision making. In the practical parts, the presentation and discussion of
case studies and scientific articles that illustrate and reinforce the taught material are promoted, as well
as the group work that will be presented and discussed later.

The evaluation of students is carried out in accordance with the university's evaluation regulations. The Group work, in PPT, constitutes 90% of the final grade (50% for the presentation and 40% for the discussion) and attendance 10%.

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• GAMA, J.; FACELI, A.; OLIVEIRA, M.- Extração de Conhecimento de Dados. 3ª edição. Lisboa: Edições Sílabo, LDA, 2017. ISBN:978-972-618-914-5
• NOGUEIRA, N.- Power BI para Gestão e Finanças.1ª edição. Lisboa: FCA, 2018. ISBN: 978-972-722-895-9
• RAVIV, G.- Collect, Combine, and Transform Data Using Power Query in Excel and Power BI. 1ªedição.U.S.A.:Microsoft, 2019. ISBN-13: 978-1-5093-0795-1
• ROCHA, M.; CORTEZ,P.; NEVES, J.M.- Análise Inteligente de Dados, Algoritmos e Implementação em Java. 1ª edição. Lisboa: FCA, 2008. ISBN: 978-972-722-278-0
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