Guia docente 2024_25
Escola Superior de Enxeñaría Informática
Grao en Intelixencia Artificial
 Subjects
  Mathematical optimization
   Training and Learning Results
Code Description
A2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the competencies that are usually demonstrated through the elaboration and defense of arguments and the resolution of problems within their area of study.
A5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy.
B2 Ability to solve problems with initiative, decision making, autonomy and creativity.
B4 Ability to select and justify the appropriate methods and techniques to solve a specific problem, or to develop and propose new methods based on artificial intelligence.
C1 Ability to use mathematical and statistical concepts and methods to model and solve artificial intelligence problems
C5 Understand and apply the basic principles and techniques of parallel and distributed programming for the development and efficient execution of artificial intelligence techniques.
C15 Know and know how to correctly apply and explain the validation techniques of artificial intelligence solutions.
D3 Ability to create new models and solutions in an autonomous and creative way, adapting to new situations. Initiative and entrepreneurial spirit.
Universidade de Vigo            | Reitoría | Campus Universitario | C.P. 36.310 Vigo (Pontevedra) | España | Tlf: +34 986 812 000