Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Enxeñaría Informática (plan 2012)
  Business Intelligence
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Identifying Data 2021/22
Subject (*) Business Intelligence Code 614502009
Study programme
Mestrado Universitario en Enxeñaría Informática (plan 2012)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Obligatory 6
Teaching method Hybrid
Department Ciencias da Computación e Tecnoloxías da Información
Bernardo Roca, Guillermo de
Bernardo Roca, Guillermo de
Ladra González, Susana
Lopez Mato, Javier
Web http://moodle.udc.es
General description The content of the course reviews the aspects related to the treatment of data oriented to the analytical field, fundamentally elements of business analytics, analytical databases (ODS, Data Warehouse, Data Marts), data integration and virtualización, Data Warehouse design, Data Mining, business statistics techniques (Dashboards and KPIs) and Big Data and its relation with the analysis of data.
Contingency plan 1. Modifications to the contents No modifications 2. Methodologies *Teaching methodologies that are maintained *Teaching methodologies that are modified Methodologies are maintained, modifying only the attendance. Theory and practice lessons, as well as the exam, will be imparted using Teams/Moodle if physical attendance is not possible. 3. Mechanisms for personalized attention to students The usual tools will be used (Teams/email). Personalized attention will always be virtual, preferrably using Teams. 4. Modifications in the evaluation No modifications *Evaluation observations: 5. Modifications to the bibliography or webgraphy None
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
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