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Teaching GuideTerm Faculty of Computer Science |
Guía Provisional
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| Grao en Intelixencia Artificial |
 Subjects |
| Algorithms |
| Learning aims |
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| Identifying Data | 2024/25 | |||||||||||||
| Subject | Algorithms | Code | 614G03008 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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| Learning outcomes | Study programme competences / results | ||
| To know how to solve different problems, understanding the complexity issues and the suitability of the proposed solutions. | A1 A5 |
B2 B5 B7 B9 |
C3 |
| To know the basic algoritmic strategies used in efficient algorithms design. | A1 A5 |
B5 B6 B7 B8 B9 |
C3 |
| To know how to apply efficient algorithms on classic problems, as sorting and searching. | A1 |
B2 B5 B7 B9 |
C3 |
| To know how to determinate the spatial & temporal complexities of different algorithms. | A1 |
B2 B4 B6 B9 |
C6 |
| To learn and to dominate data structures suited for graphs and to learn to know and apply algorithms on them, in order to solve basic AI problems. | A5 |
B5 B6 B7 B8 B9 |
C3 |
| To learn algorthms design and applications on graphs, in order to solve basic AI problems. | A1 A5 |
B2 B5 B7 B9 |
C2 |
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