Degree | Type | Year |
---|---|---|
4313136 Modelling for Science and Engineering | OB | 0 |
You can view this information at the end of this document.
Mathematical knowledge at the level of Science or Engineering bachelor degree.
Programming skills.
The course is devoted to study and practise several heuristic and combinatorial optimisation algorithms with special emphasis on routing and convex optimisation. The course will also cover some additional topics.
This course aims to give students the fundamental knowledge and resources they need to create software that can handle actual optimization challenges.
Main contents:
Possible additional topics:
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Attending at the different sessions and related activities | 37.75 | 1.51 | 2, 1, 4, 3, 9, 8, 5, 6, 7, 10 |
Evaluation of the teaching performance and the subject | 0.25 | 0.01 | |
Type: Autonomous | |||
Assignments (implementation of the algorithms – individual and group activities) | 42 | 1.68 | 2, 1, 4, 3, 8, 5 |
The methodology is based on lectures with slide presentations and blackboard, including master and practical sessions.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Delivery and presentation of the final project (four-person teams) | 30% | 21 | 0.84 | 2, 1, 4, 3, 9, 8, 5, 6, 7, 10 |
Individual projects in realistic cases | 30% | 21 | 0.84 | 2, 1, 4, 3, 9, 8, 5, 6, 7, 10 |
Projects in realistic cases in two-person teams (exceptionally, three-person) | 40% | 28 | 1.12 | 2, 1, 4, 3, 9, 8, 5, 6, 7, 10 |
There are three types of evaluation:
Recommended sofware:
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(TEm) Theory (master) | 1 | English | first semester | afternoon |