Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Information Retrieval |
Assessment |
Identifying Data | 2022/23 | |||||||||||||
Subject | Information Retrieval | Code | 614G02027 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Third | Obligatory | 6 | ||||||||||
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Methodologies | Competencies / Results | Description | Qualification |
Laboratory practice | B2 B7 B9 B10 C1 | Follow-up, defense and evaluation of the results of the practices carried out in the hours of practical laboratory classes. It is mandatory to achieve 40% of the grade in order to pass the course. 40 |
40 |
Supervised projects | B4 B7 B9 | Participation and results in the completion of the work and/or questions. | 10 |
Mixed objective/subjective test | A27 B2 B4 B7 B8 | Questions on the knowledge acquired in the lectures, practical activities and problems and assignments. It is mandatory to achieve 40% of the grade to pass the course. |
50 |
Assessment comments | |||
For the second opportunity and non-ordinary exams, the mixed exam will evaluate the practices as well as the papers and the theories. If the minimum grade is not reached in the different tests, the student's maximum grade will be 4.5.In the realization of the work, plagiarism and the use of non-original material, including that obtained through the Internet, without express indication of its origin and, where appropriate, permission of its author, may be considered as a reason for a failing grade. All this without prejudice to the disciplinary responsibilities that may arise after the corresponding process. |
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