Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Machine Learning I |
Planning |
Identifying Data | 2023/24 | |||||||||||||
Subject | Machine Learning I | Code | 614544012 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
|
Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A11 A12 C4 C8 C9 | 21 | 42 | 63 |
Laboratory practice | A13 A16 B2 B3 B5 B6 B7 C3 C7 | 12 | 24 | 36 |
Supervised projects | B2 B3 B4 B5 B8 B9 C4 C8 C9 | 7 | 19 | 26 |
Objective test | A11 A12 B3 B8 C4 C8 C9 | 2 | 20 | 22 |
Personalized attention | 3 | 0 | 3 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
|