Official Code: | 6025 |
Acronym: | MCI |
Description: | The Master’s Degree in Information Science (MCI) provides advanced training in Information Science aimed at anyone wishing to pursue a professional or research career in this area. This master is the joint responsibility of the Faculty of Engineering and the Faculty of Arts of the University of Porto. |
Background:
After a season in which different companies/institutions very invested in data collection by computerizing its operations (e.g. sensors, GPS systems), and in which many and varied new data sources have emerged (e.g. social networks), there is now the need to place such data at the service of those companies. The goal is to be able to extract knowledge from these data in order to improve efficiency and gain competitive advantage. From this need arises the Curricular Unit (UC) of Data Analysis and Visualization (AVD).
Objectives:
The student should be able to:
(1) Use adequately descriptive statistics for data description;
(2) Use OLAP tools for analysis of data;
(3) To describe the different stages of the process of knowledge discovery CRISP;
(4) to use and analyze the results of some of the main interpretable methods of classification and regression;
(5) to use and interpret cluster analysis methods;
(6) to use and interpret methods of association rules;
(7) To analyze spatio-temporal data;
(8) To evaluate methods of analysis and data visualization.
Aims
To endow students with skills to plan information systems and technologies in an organization in a strategic perspective.
Aims:
To endow students with skills to explore and analyze scientific information resources, in particular to understand their world and to characterize the forms of production, organization and use of such type of information, as well as to develop a critical thinking about scientific communication fenomena.
Main aims: The main aim of this course unit is to prepare students to analyse and project interactive components of systems, particularly the user interface. It should be adequately done, considering the short, the medium and the long term.
Aims:
1. To prepare students to analyse interactive systems concerning their quantitative and qualitative parameters.
2. To prepare students to use study, observation and questioning techniques based on the understanding of the conceptual model of system users
3. To prepare students to use a construction process of interactive products based on the design, user assessment, conception, prototyping, validation, construction and maintenance.
1. To know the fundamentals of Cognitive Psychology;
2.Analyze the applications of this knowledge in the development of information behavior and User Experience;
3. Relate Cognitive Psychology and/it application in Artificial Intelligence development.
The "Knowledge Representation" course is based on First-Order Logic and uses it to construct models of the world that can be incorporated into computational systems. Knowledge representation and knowledge-based inference require the identification of ontologies for the selected domains.
Ontology languages embed the semantic web concepts and are powerful tools for any task that requires the analysis of domain knowledge and its mapping into representations that can be automatically processed.
In this unit students are expected to become familiar with the theory and practice of knowledge representation, linking them to their former experience with domain modelling, information description and databases.
This course focus on the recognition of the vulnerabilities of Digital Information in today's society to an abusive and destructive use and the basic knowledge of the means (especially computers) available to alleviate the problem.
This curricular unit aims to:
- Develop knowledge of content analysis, concept representation (indexing) and knowledge organisation systems;
- Provide students with the skills to build and use controlled vocabularies;
- Develop students' critical thinking in relation to the theory and practice of content analysis and indexing.
The "Digital Libraries and Digital Archives" unit has the main goal of leading students in the analysis of principles, theory and technology of digital repositories, supported on tools that will allow them to build such systems.
The course aims to provide an integrated study of the themes, concepts and fundamental legal concepts under the Right to Information.
In addition to the systematic approach of law applicable to different forms and contents of the information will be dealt with new issues arising from the interaction between information, law and technology, especially in the digital environment.
The aim is to provide students with the essential tools of understanding of Information Law based on examples that might be useful in their future activity, as one of the factors to be considered in development projects of information systems and communication.
Provide students with skills to analyze, specify and design information services and systems, from a socio-technical perspective, and based on design, systemic, creative and critical thinking.
In accordance with FEUP regulations, in this course:
The aim of this course unit is to familiarise students with the principles and the available methodological and technical instruments, which enable an adequate selection when carrying out an individual research project.
The students should be able to design, build and explore data warehouses.