|
Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Reasoning and Planning |
| Assessment |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Reasoning and Planning | Code | 614544003 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
|
||||||||||||||
| Methodologies | Competencies | Description | Qualification |
| Laboratory practice | A6 A7 A8 A9 B1 B2 B3 B7 B8 C3 C4 C5 C6 C7 C8 | Submission of one or several practical assignments | 49.5 |
| Guest lecture / keynote speech | A6 A7 A8 A9 B2 B3 B6 B8 B9 C2 C6 | Depending on how the course evolves, a part of the exam could be consolidated by submitting solved exercises along the lecture classes period | 0.5 |
| Objective test | A6 A7 A8 A9 B3 B6 B7 B8 B9 C2 | An individual exam consisting of several exercises that will be assessed up to a maximum of 50 points. *Requirement* a minimum grade of 20 points in the exam must be achieved to pass the course. If that minimum grade inside the exam is not achieved, the final total grade for the course will be truncated to 4.8 (that is 48%) if the addition of all qualifications are above that number. |
50 |
| Assessment comments | |||
|
