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Teaching GuideTerm Faculty of Humanities |
| Grao en Xestión Dixital de Información e Documentación |
 Subjects |
| Data Mining |
| Methodologies |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Data Mining | Code | 710G04030 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Third | Optional | 6 | ||||||||||
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| Methodologies | Description |
| Guest lecture / keynote speech | They will be expository sessions in which the various topics of the subject will be introduced and described through presentations (using appropriate audiovisual media) that will include theory and examples. |
| ICT practicals | Practical classes will be developed using statistical software, in which its programming and application will be introduced based on real and simulated cases. |
| Case study | The statistical techniques taught in the subject will be applied to solve exercises and real and simulated case studies in the field of digital information management. |
| Supervised projects | Individual and/or group work will be carried out, supervised by the teachers of the subject, in which the resolution, by means of the application of statistical techniques and R software, of practical exercises or particular case studies related to the field of communication and information sciences will be approached. A review study of a specific topic of the subject or of the software used may also be carried out. The works may be proposed by the teachers or by the students themselves (the proposals will be taken into account or not always according to the teacher's criteria). |
| Objective test | It will consist of a multiple-choice test on the contents taught in the subject. |
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