Teaching Guide 2020/21 Faculty of Computer Science

Teaching GuideTerm

Faculty of Computer Science

Methodologies

Identifying Data

2020/21

Subject

Databases

Code

614G01013

Study programme

Grao en Enxeñaría Informática

Descriptors

Cycle

Period

Year

Type

Credits

Graduate

2nd four-month period

Second

Obligatory

Methodologies	Description
Guest lecture / keynote speech	* Face-to-face theoretical teaching groups: classroom lectures. * On-line theoretical teaching groups: combination of on-line Teams sessions (synchronous) and videos (asynchronous). During these lectures the fundamental contents of the subject will be exposed. They are devoted to show objectives, motivation, concept development, utility, and summary.
Problem solving	* Face-to-face theoretical teaching groups: classroom problem solving lectures. * On-line theoretical teaching groups: combination of on-line Teams sessions (synchronous) and videos (asynchronous). Problem solving lectures where a problem to solve is exposed. First, the student tries to solve the problem for a while, considering different aspects to solve it. Finally, the problem is solved, showing the typical errors of the solutions provided by the students.
Laboratory practice	* Face-to-face lectures for all teaching groups. In laboratory classes, teachers present the knowledge needed to acquire the proposed skills, and students will do exercises that will lead them to develop their operative skills. During these classes, students will also make the design and implementation of a relational database. Each student shall develop it alone, with some assistance from the teacher.
Mixed objective/subjective test	Face-to-face tests to be done in a limited time, in which both theoretical and practical knowledge is evaluated.

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