Teaching GuideTerm
Faculty of Humanities
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Grao en Xestión Dixital de Información e Documentación
 Subjects
  Data Mining
   Learning aims
Learning outcomes Study programme competences
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
C5
C6
C8
Choosing the quantitative techniques appropriate to the objectives for research, administration and management tasks. A1
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
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
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
Capacity for analysis and synthesis applied to the management and organization of information. 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
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
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