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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Robotics |
| Methodologies |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Robotics | Code | 614G01098 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Fourth | Optional | 6 | ||||||||||
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| Methodologies | Description |
| Laboratory practice | Lab. sessions in which the teachers will explain the robotic platform and its development software in detail. Moreover, in these programming exercises must be developed, using the selected robotic platform, some of the techniques taught in theory classes. These exercises will be carried out in an autonomous way and their progress will be supervised by the teachers. |
| Supervised projects | Theory work or works on a topic proposed by the teachers of the subject that must be developed by the students, individually or in groups, as determined by the teachers and with the indicated delivery dates. The most important work is the development (in a group) of a topic throughout the course, of which a final memory will have to be delivered, in addition to a final presentation (presentation that is part of the test or final exam). |
| Guest lecture / keynote speech | Oral presentation of the theoretical themes by the teachers of the subject. |
| Objective test | Multiple choice test or multiple choice questionnaire that is done online at the end of the theory sessions, in order to assess the degree of participation, attention and understanding of the concepts explained by the teacher. Moodle, Microsoft Forms, Kahoot or other similar tools can be used. |
| Oral presentation | Theory work or works on a topic proposed by the teachers of the subject that must be presented in front of the classmates and also delivered in writing. |
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