Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Evolutionary Computation |
Planning |
|
|
Identifying Data | 2023/24 | |||||||||||||
Subject | Evolutionary Computation | Code | 614544015 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
|
Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 10.5 | 10.5 | 21 |
Objective test | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 3 | 0 | 3 |
Laboratory practice | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 10.5 | 31.5 | 42 |
Mixed objective/subjective test | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 2 | 2 | 4 |
Personalized attention | 5 | 0 | 5 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
|