Degree Programme Coordinator

Competences

• Analysis (POs a)
• Abstraction (POs a)
• Problem solving (POs a, b, e)
• Application of methods to real-world problems (POs a, b, d, e, g, h)
• Introduction to the main mathematical concepts for the analysis, representation and resolution of optimization problems. (POs a, b, h, j)
• Introduction to heuristic techniques and approximate solutions for solving problems of high complexity (POs e, h, j)
• Ability to identify and apply the best suited optimization procedure to a particular problem. (POs a, e, g, h)
• Ability to use specific computer software to solve optimization problems (POs b, e, h)
• Ability to foster new ideas (creativity). (POs d, e, g)
• Ability to dimensionate new problems (POs b, d)
• To boost the interest for researching and finding solutions to new and challenging problems. (POs e, g, j, k)

Study Program

1. Optimization in Rn. Formulation
2. The Barrier method
3. Constrained and unconstrained optima
4. Linear programming, dynamic programming and unconstrained programming
5. Optimization in the context of graph theory
6. Heuristic functions
7. Constrained programming
8. Local Search
9. Neighborhood search
10. Simulated annealing
11. Bio-inspired and multi-objective optimization

Group

Bachelor's Degree: Computer Science and Engineering (Plan 2011) Field: Engineering. (Colmenarejo) Field: Engineering. (Leganés)

Bibliography

• Novo Sanjurjo, Vicent J. Teoría de la Optimización. Universidad Nacional de Educación a Distancia. 1999
• Novo Sanjurjo, Vicente J.Optimización: casos prácticos. Universidad Nacional de Educación a Distancia. 2000