|
Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| AI Project Management |
| Methodologies |
|
|
|
| Identifying Data | 2023/24 | |||||||||||||
| Subject | AI Project Management | Code | 614544021 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Obligatory | 3 | ||||||||||
|
||||||||||||||
| Methodologies | Description |
| Guest lecture / keynote speech | The teacher presents a topic to the students with the objective of providing a set of information with a specific scope |
| Laboratory practice | The professor presents the students with a problem or problems of a practical nature, the resolution of which requires the understanding and application of the theoretical-practical contents presented. Students can work on the solution individually or in groups |
| Problem solving | Students are given practical projects whose scope requires that a significant part of the student's total dedication to the subject. In addition, due to the scope of the work to be done, students are required to apply not only managerial skills but also technical skills. This item will be assessed together with the laboratory practices item |
| Objective test | Exam to assess both the theory and the practice of the subject |
|
