Teaching GuideTerm Higher Technical University College of Nautical Science and Naval Engines |
Grao en Máquinas Navais |
Subjects |
Numerical and Statistical Methods |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Numerical and Statistical Methods | Code | 631G03011 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Second | 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 | A73 A74 B4 B8 B9 B13 B14 B16 B17 B18 C1 C3 C8 | 30 | 30 | 60 |
Document analysis | B3 B9 B10 B11 B13 B14 B16 B17 B18 C8 | 0 | 5 | 5 |
Objective test | B1 B5 B7 B9 B11 B14 B15 B16 C1 C9 | 2 | 3 | 5 |
ICT practicals | A73 A74 B5 B7 B9 B10 B11 B13 B15 B16 B18 C3 C8 | 8 | 8 | 16 |
Supervised projects | A73 A74 B1 B3 B4 B6 B7 B8 B9 B10 B11 B14 B15 B16 B18 C1 C3 C7 C8 C9 | 0 | 10 | 10 |
Problem solving | A73 A74 B1 B3 B4 B5 B6 B7 B8 B9 B10 B11 B14 B15 C1 C3 C7 C9 | 16 | 32 | 48 |
Personalized attention | 6 | 0 | 6 | |
(*)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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