Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Técnicas Estadísticas (Plan 2019)
 Subjects
  Data Management Technology
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Identifying Data 2020/21
Subject (*) Data Management Technology Code 614493106
Study programme
Mestrado Universitario en Técnicas Estadísticas (Plan 2019)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
First Optional 5
Language
Spanish
Teaching method Hybrid
Prerequisites
Department Enxeñaría de Computadores
Matemáticas
Coordinador
López Taboada, Guillermo
E-mail
guillermo.lopez.taboada@udc.es
Lecturers
Fernández Casal, Rubén
López Taboada, Guillermo
E-mail
ruben.fcasal@udc.es
guillermo.lopez.taboada@udc.es
Web http://eio.usc.es/pub/mte
General description The objective of this course is that any student, regardless of his/her previous academic background, would be able to acquire a solid knowledge of database management, both relational and non-relational technologies. Likewise, familiarization with the main computational techniques for the practical management of massive data will be sought. This will give the student a great autonomy when it comes to processing and studying data, regardless of its format and origin.
Contingency plan 1. Modifications to the contents - No changes will be made. 2. Methodologies *Teaching methodologies that are maintained - All. 3. Mechanisms for personalized attention to students - Email: Daily. Of use to make consultations, request virtual meetings to resolve doubts and follow up on supervised work. - MTE online platform classroom: Daily. According to the needs of the students. They have "thematic forums associated with the modules" of the subject, to formulate the necessary queries. There are also “specific activity forums” to develop the “Directed Discussions”, through which the development of theoretical content of the subject is put into practice. - Teams: 1 weekly session in a large group for the advancement of the theoretical contents and the tutored works in the time slot assigned to the subject in the faculty class calendar. From 1 to 2 weekly sessions (or more as the students demand) in a small group (up to 6 people), for follow-up and support in carrying out the "supervised work". This dynamic allows for standardized monitoring adjusted to the learning needs of the students to carry out the work of the subject. 4. Modifications in the evaluation - No changes will be made. 5. Modifications to the bibliography or webgraphy - No changes will be made.
(*)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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