Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Information Retrieval |
Methodologies |
Identifying Data | 2023/24 | |||||||||||||
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 | Description |
Laboratory practice | Practical assignments on development platforms widely used in the industry, search engine companies and research libraries. |
Supervised projects | Work and problems carried out autonomously by the student and supervised by the teacher. |
Mixed objective/subjective test | Test that will focus on the fundamental contents of the course. |
Guest lecture / keynote speech | The student will attend the explanations of the professor about the different models, techniques and algorithms of Information Retrieval. The professor will use different levels of abstraction-detail and will guide the student in the fundamental and complementary readings. |
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