Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Mathematical Optimisation |
Learning aims |
Identifying Data | 2022/23 | |||||||||||||
Subject | Mathematical Optimisation | Code | 614G02020 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
|
Learning outcomes | Study programme competences / results | ||
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 |
|