|
Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Information Retrieval |
| Methodologies |
| Identifying Data | 2021/22 | |||||||||||||
| Subject | Information Retrieval | Code | 614G02027 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Third | Obligatory | 6 | ||||||||||
|
||||||||||||||
| 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. |
|
