|
Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Mathematical Optimisation |
| Assessment |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Mathematical Optimisation | Code | 614G02020 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
|
||||||||||||||
| Methodologies | Competencies | Description | Qualification |
| Laboratory practice | A29 B2 B3 B7 B8 B9 B10 C1 | To evaluate the degree of understanding and learning of the practices, each student will do an individual practice. To perform this practice, the student will have to solve an optimization problem using the software tools that have been provided throughout the course. |
20 |
| Seminar | A29 B2 B3 B7 B8 B9 B10 C1 | Throughout the course, the student will demonstrate his interest in the subject and his mastery of it by taking a written test (control). This test will correspond to topics 1, 2 and 3 of the subject. |
20 |
| Mixed objective/subjective test | A29 B2 B3 B7 B8 B9 B10 C1 | The final exam, with a value between 60% and 80% (depending on the grade obtained in the control), will consist of a written theoretical-practical test. | 60 |
| Assessment comments | |||
|
