Guia docente 2023_24
Escola Superior de Enxeñaría Informática
Grao en Intelixencia Artificial
 Subjects
  Concurrent, parallel and distributed computing
   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.
B5 Ability to design new computational systems and/or evaluate the performance of existing systems, integrating artificial intelligence models and techniques.
C6 Know the structure, organization, operation and interconnection of computer systems (computer, operating systems and computer networks).
C7 Understand and apply the basic principles and techniques of parallel and distributed programming for the development and efficient execution of artificial intelligence techniques.
C8 Ability to perform the analysis, design and implementation of applications that require working with large volumes of data, applying appropriate hardware/software architectures.
C9 Ability to deploy in the cloud artificial intelligence applications that run efficiently with defined computational resources.
D3 Ability to create new models and solutions in an autonomous and creative way, adapting to new situations. Initiative and entrepreneurial spirit.
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