Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
Subjects |
Data Management Technology |
Planning |
|
|
|
Identifying Data | 2019/20 | |||||||||||||
Subject | Data Management Technology | Code | 614493106 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Optional | 5 | ||||||||||
|
Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A16 A18 A21 A23 | 20 | 28 | 48 |
Laboratory practice | A16 A18 A24 A25 B3 B2 C13 C12 | 7 | 10.5 | 17.5 |
Problem solving | A17 A16 B2 C13 | 0 | 28 | 28 |
Seminar | A17 A24 A25 B1 B17 B19 B21 C15 | 7 | 10.5 | 17.5 |
Supervised projects | A16 A17 A21 A23 A24 A25 B1 B2 B3 B4 B5 B17 B18 B19 B20 B21 C11 C12 C13 C14 C15 | 1 | 9.5 | 10.5 |
Mixed objective/subjective test | A16 A18 A21 A23 A24 A25 B1 B2 B3 B4 B17 B18 C13 | 3 | 0 | 3 |
Personalized attention | 0.5 | 0 | 0.5 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
|