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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Introduction to Computers |
| Methodologies |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Introduction to Computers | Code | 614G03012 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
First | Basic training | 6 | ||||||||||
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| Methodologies | Description |
| Laboratory practice | Activity that allows students to learn and consolidate the knowledge already acquired through practical sessions in the laboratory. This methodology allows exercising and evaluating the A4, B2, B3 and B5 skills. The acquisition of the transversal competence C3 will also be taken into account in these sessions. |
| Guest lecture / keynote speech | Master sessions will be held on the contents of the agenda, normally as a starting point for the rest of the planned activities. These contents will be focused on the A4 and the A6 competition. The sessions will be focused in such a way as to promote the acquisition of transversal and core competencies of the subject. |
| Objective test | At the end of the semester there will be an exam that will evaluate the contents of the subject. The test will place particular emphasis on the A5, A6 and B5 skills |
| Problem solving | Problems will be proposed to the students to solve as personal work. Solutions will be discussed in problem classes. Partial controls will also be carried out during the course. This methodology allows exercising and evaluating the A4, A6, B2 and B3 skills. The acquisition of the transversal competence C3 will also be taken into account in these sessions. |
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