Teaching GuideTerm Faculty of Humanities |
Grao en Xestión Dixital de Información e Documentación |
Subjects |
Data Mining |
Learning aims |
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Identifying Data | 2023/24 | |||||||||||||
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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Learning outcomes | Study programme competences / results | ||
Acquisition of skills for the selection, treatment, management and analysis of information through data mining techniques. | A8 A13 A20 A21 A22 |
B2 B4 B5 B6 B7 B8 B10 B11 |
C2 C4 C6 C8 |
Acquire knowledge of computational data analysis, including programs such as R statistical software. | A1 A4 A8 A13 A20 A21 A22 |
B1 B2 B3 B9 B11 |
C1 C3 C7 |
Choosing the quantitative techniques appropriate to the objectives for research, administration and management tasks. | A1 A8 A20 A21 A22 |
B2 B4 B6 B7 B8 B10 B11 |
C2 C4 C6 C8 |
Capacity for analysis and synthesis applied to the management and organization of information. | A4 A8 A13 A20 A21 A22 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
C1 C2 C3 C4 C5 C6 C7 C8 |
Knowledge and skills for the application of regression techniques, anomaly detection and time series. | A1 A20 A21 A22 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
C2 C4 C6 C7 C8 |
Acquisition of decision-making skills based on statistical analysis of complex databases. | A1 A4 A8 A13 A20 A21 A22 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
C1 C2 C3 C4 C5 C6 C7 C8 |
Knowledge and skills for the application of the main classification techniques. | A1 A20 A21 A22 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 |
C2 C4 C6 C7 C8 |
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