Disciplinas Obrigatórias

Business Intelligence I
O principal objectivo da Unidade Curricular de Business Intelligence I consiste em fazer compreender aos alunos as capacidades de apoio à decisão potenciadas pela utilização de processos de Business Intelligence e das Data Warehouses de suporte, bem como dar a conhecer as actuais tecnologias de informação e as metodologias de desenvolvimento de soluções de Business Intelligence ao nosso dispor.
No final do curso, os alunos deverão ser capazes de:

• Compreender o processo da BI e os factores que contribuem para maximizar o valor no negócio
• Conhecer as principais aplicações empresariais de Business Intelligence / Data Warehouses
• Identificar os indicadores chave das aplicações analíticas em contexto empresarial
• Conhecer as principais abordagens de construção de Data Warehouses
• Compreender as relações entre Business Intelligence e Data Warehousing
• Compreender o papel das aplicações analíticas, da monitorização do desempenho das organizações e das ferramentas de visualização
• Conhecer os componentes da infra-estrutura da Business Intelligence - pessoas, processos e tecnologias

Business Intelligence II

Data Mining I

Na conclusão do curso o aluno deverá:
• Discutir criticamente as principais noções e conceitos associados ao Data Mining;
• Ser capaz de executar tarefas básicas de preparação e pré-processamento de dados;
• Descrever os princípios e executar uma análise RFM;
• Descrever em detalhe o funcionamento do algoritmo k-means e self-organizing map;
• Descrever em detalhe o funcionamento do algoritmo self-organizing map;
• Analisar e descrever os resultados apresentados por uma Matriz-U;
• Produzir uma segmentação, defendendo as opções tomadas e explicando as alternativas;
• Descrever o funcionamento do algoritmo apriori e a forma como são geradas as regras de associação;
• Saber calcular os principais indicadores de qualidade de regras de associação;

Gestão do Conhecimento

The course aims to introduce students to the importance of managing Knowledge effectively in a contemporary Knowledge-based Economy, where knowledge and learning play fundamental roles in the successful evolution of organizations.

There are a number of reasons for the growth of interest in these topics, including: 

i) the effects of Internet and other globalizing forces that are sweeping away many of the traditional sources of competitive advantage, such as location, superior technology and access to capital;

ii) the shift in industrial activity and the commensurate changes in occupational skills required. 

Knowledge residing in the brains of the workers is now the most powerful engine of economic performance and competitiveness; it is the source of innovation, best described as ‘the application of knowledge to tasks and situations, in order to develop new products, processes and services’. 

Initially, this module will highlight the critical importance of knowledge by understanding how its different forms come together to act as a resource that organizations can draw on to perform more efficiently, innovatively and flexibly (Introducing knowledge work: processes, purposes and contexts).

The module will then focus on “organizing aspects” of knowledge creation, exchange and learning (managing knowledge creation in teams and project based organizations and knowledge work).

A third area of study will examine the situated nature of learning within particular contexts. These studies sometimes use the term “knowing” rather than knowledge to emphasize this intertwining of “social practices with shared identities” (Communities of Practice – CoP or VCoP, actual or virtual grouping of individuals taking part in knowledge exchange and sharing, creation of new knowledge, peer-to-peer-learning and innovation).

Today a critical factor in business success is not just to be an efficient organization, but also how intelligent it is. The technologies available today allow for a wide-range of communication solutions at very low cost, enabling organizations to collaborate more effectively, to respond more quickly to business challenges, and to identify innovation opportunities. 

In this context the role of ICT in supporting knowledge work, by overcoming geographical and temporal separation, will be dealt with as a fourth element of the course. We will address the information systems role in supporting knowledge management and the growing importance of Web 2.0 applications and technologies, particularly the advent of the so called Enterprise 2.0. This new culture of collaboration is contributing to more productive, effective, and intelligent organizations, which will lead us to the study of Collective Intelligence and the impact it has on collaboration, knowledge management, and value creation.

Afterwards we will address social networks and there organizational impact, as they can serve as channels for the flow of knowledge through connectivity between individuals and organizations. Studies highlight the importance of active networking by individuals or groups/organizations for information sharing and knowledge management and this subject will be addressed in the course program through the usage of Social Network Analysis.