Official Code: | 6025 |
Acronym: | MCI |
Description: | The graduates from the MCI have competences on information management wherever Information plays a central role, be it specifying processes, organizing archives, leading libraries, or managing information systems. |
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 (AD).
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.
1. To know the fundamentals of Cognitive Psychology
2. To analyze several applications of this knowledge
3. To relate and to apply this knowledge in order to solve problems in their professional area
The "Knowledge Representation" course is based on First-Order Logic an uses it to construct models of the world that can be incorporated into computational systems. Knowledge representation and knowledge-based inference assume the identification of ontologies for the selected domains.
Ontology languages, as part of the semantic web technology stack, are powerful tools for any task that requires the analysis of domai knowledge and its mapping into representations that can be automatically processed.
In this unit students are expected to gain familiarity 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.
The objective of this unit is to explore the concept of Information Society in terms of the relationship between the transformation of society and people’s changing interactions with information. A critical analysis of this relationship will be developed through five distinct lenses: spatial, technological, cultural, political and economic.
This curricular unit aims:
- To deep the knowledge in what concerns content analysis, the representation of concepts (subject indexing) and the production of abstracts (condensing)
- To give the students skills in order to manage and to built indexing languages: categorial (enumerative and faceted classifications) and combinatory or vocabulary (thesauri)
- Stimulate critical analysis and empower students for collaborative tagging
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.
1. Master the main concepts in Communication Sciences (redundancy/entropy, icon/symbol; denotation/connotation, …) and its applications in the spheres and professional activities of Communication;
2. Master the Communication Mix (branding, publicity, advertising), the "blended marketing" and the “life cycle” of the Communication Plan, applying scientific concepts and tools for strategic planning to practical situations;
3. Recognize the social, economical and cultural role of brands and their place in the marketing communication context, mastering concepts, dimensions and basic techniques for its creation, management and activation;
4. Master strategic principles of Institutional and Marketing Communication concerning Social Media, its main trends and problems;
5. Know and apply a basic set of specific techniques for communication of information, namely in the areas of “strategy of the message”, briefing, publication of textual contents and organization of speech.
6. Question commonplaces and preconceived ideas about communication, speech and Media.
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.
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.