Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
Subjects |
Data Management Technology |
Methodologies |
|
|
|
Identifying Data | 2020/21 | |||||||||||||
Subject | Data Management Technology | Code | 614493106 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Optional | 5 | ||||||||||
|
Methodologies | Description |
Guest lecture / keynote speech | Expository sessions, in which they will present concepts and / or procedures, providing basic information necessary to understand a theoretical perspective or a practical procedure, promoting the participation of students. |
Laboratory practice | Interactive sessions of laboratory (computer lab) practices or problem solving, where the teachers will support and supervise how the students put in practice the acquired knowledge. |
Problem solving | Personal work of the students in the realization of practical exercises and problem solving from the lectures and laboratory practices. |
Seminar | Group work technique aimed at in-depth exploration of given topic, consisting of group discussion, individual engagement, preparation of texts and collective conclusions. |
Supervised projects | Autonomous learning activities, in which professors guide the realization of individual works or in small groups by the students. |
Mixed objective/subjective test | Mixed test consisting of essay-type and objective test questions. Essay section consists of open (extended answer) questions; objective test may contain multiple-choice, ordering and sequencing, short answer, binary, completion and/or multiple-matching questions. |
|