Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Data Engineering |
Planning |
Identifying Data | 2023/24 | |||||||||||||
Subject | Data Engineering | Code | 614544002 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Obligatory | 3 | ||||||||||
|
Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | B4 B5 C3 C9 | 12 | 0 | 12 |
Practical test: | A17 B2 B5 B7 C3 | 8 | 0 | 8 |
Problem solving | A17 B2 B4 B7 C7 C9 | 0 | 50 | 50 |
Supervised projects | A17 B2 B3 B6 B7 B8 C7 C8 | 5 | 0 | 5 |
Personalized attention | 0 | 0 | ||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
|