* Generic competences
o Analysis (POs a)
o Abstraction (POs a)
o Problem solving (POs a, b, e)
o Application of methods to real-world problems (POs a, b, d, e, g, h)
o CGB1: Capacity for solving numerical engineering problems. Ability to apply knowledge from different fields such as linear algebra, diferential and integral calculus, numerical methods, statistics and optimization.
o CGB3: Capacity for understanding and managing the basic principles of discrete mathematics, logic, algorithms and computational complexity and its application for effectively solving engineering problems.
* Specific competences
o Cognitive
+ 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)
o Procedural
+ 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)
o Behavioural
+ 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)
o CECRI6. Knowledge and applicabilty of the basic algorithmic principles in computer science technologies to design effective solutions and to analyze the suitability and complexity of the algorithms proposed
o CECRI15. Knowledge and applicability of the fundamental principles and techniques based on intelligent systems for their practical implementation.
