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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Fundamentals of Computers |
| Methodologies |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Fundamentals of Computers | Code | 614G02005 | |||||||||||
| 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 |
| Problem solving | Exercises are proposed to the students to be solved on their own. Then, solutions are discussed at class (problem sessions). Periodic written examinations are carried out to assess student progress, including questions about related theory. This metodology is mainly used to both gain and evaluate program competences B1, B5, and B6 in relation to the competence A10. |
| Laboratory practice | Lab sessions allow students to consolidate the knowledge they have acquired in lectures and problem sessions. This activity makes it possible to achieve program competences B1, B5, and B6 in relation to the competence A10. The acquisition of transversal competence C1 will also be taken into account in these sessions. |
| Guest lecture / keynote speech | Lectures about every topic covered by the course's syllabus are the usual starting points for the rest of the activities. The workflow and contents of the lectures are focus on making it easy to acquire all the core and transverse competence of this course, namely competence A10. |
| Objective test | At the end of the term, a final exam will assess the syllabus of this subject. This exam will evaluate the acquisition of competences A10, B1 and B5, but without neglecting the rest of them (B6 and C1). |
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