Teaching GuideTerm
Faculty of Humanities
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Grao en Xestión Dixital de Información e Documentación
 Subjects
  Data Mining
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Identifying Data 2021/22
Subject (*) Data Mining Code 710G04030
Study programme
Grao en Xestión Dixital de Información e Documentación
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Third Optional 6
Language
Spanish
Galician
Teaching method Hybrid
Prerequisites
Department Matemáticas
Coordinador
Maseda Seco, Diego
E-mail
d.maseda@udc.es
Lecturers
Maseda Seco, Diego
E-mail
d.maseda@udc.es
Web
General description The main objective of this course is that the student knows the fundamental concepts and the main models of data mining, and its application in the field of information science and documentation.
Contingency plan 1. Modifications in the contents: The contents will not be modified. 2. Methodologies: Teaching methodologies that will be maintained: • Guess lecture / Keynote speech. • ICT practicals. • Objective test. • Case study. • Supervised projects. Teaching methodologies that are modified: No teaching methodology is modified. 3. Mechanisms of personalized attention to students: Tools: Microsoft Teams and e-mail. Timing: Microsoft Teams will be used during class hours, in addition to tutoring hours. The electronic mail will be used to solve doubts and for the exchange of files and information in general. 4. Modifications in the evaluation: The evaluation procedure will be not modified. 5. Modifications of the bibliography or webgraphy:
(*)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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