Teaching GuideTerm Faculty of Economics and Business |
Grao en Economía |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Statistics I | Code | 611G01006 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
First | Basic training | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A3 C1 C8 | 17 | 34 | 51 |
Workshop | A9 A12 C6 C7 | 14 | 28 | 42 |
ICT practicals | A10 C3 | 5 | 15 | 20 |
Workbook | A7 A11 | 0 | 5 | 5 |
Mixed objective/subjective test | A4 A5 | 2 | 4 | 6 |
Collaborative learning | A13 C4 C5 | 2 | 2 | 4 |
Supervised projects | A3 A4 A5 A7 A9 A10 A12 A13 C1 C3 C6 C7 C8 | 3 | 9 | 12 |
Seminar | A3 A4 A7 A9 A10 A12 A13 C1 C3 C6 | 4 | 0 | 4 |
Problem solving | A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 B2 B1 B3 B4 B5 B6 B7 B8 B10 B9 C1 C2 C3 C4 C5 C6 C7 C8 | 1 | 4 | 5 |
Personalized attention | 1 | 0 | 1 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
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