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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Mathematical Optimisation |
| Learning aims |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Mathematical Optimisation | Code | 614G02020 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Identify real problems that can be solved by using optimization techniques. | A29 |
B2 B3 B7 B8 B9 B10 |
C1 |
| Formulate optimization models that describe the problem to be solved, identifying the objective function and making use of the appropriate variables and constraints. | A29 |
B2 B3 B7 B8 B9 B10 |
C1 |
| Know how to use the basic tools for solving linear programming models, integer linear programming and network optimization. | A29 |
B2 B3 B7 B8 B9 B10 |
C1 |
| Knowing and using the right software to solve problems of linear programming, integer linear programming and network optimization. | A29 |
B2 B3 B7 B8 B9 B10 |
C1 |
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