Competencies and objectives

Provisional information. Pending approval.

 

Course context for academic year 2022-23

No data

 

 

Learning outcomes / Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2022-23

EXPERT IN ARCHITECTURES CLOUD WITH AMAZON AWS AND GOOGLE GCPP

 

General Competences

  • CG1 : Definir, identificar y relacionar las tecnologías existentes de arquitecturas de computación en la nube (cloud computing)

 

Specific Competences

  • CE1 : Definir e identificar las tecnologías de computación en la nube (cloud computing) que están siendo implementadas por los principales proveedores de plataformas públicas en la nube (Amazon, Google, Microsoft,¿).

 

EXPERT IN CLOUD ARCHITECTURES WITH AMAZON AWS AND GOOGLE GCP

 

General Competences

  • CG1 : Definir, identificar y relacionar las tecnologías existentes de arquitecturas de computación en la nube (cloud computing)

 

Specific Competences

  • CE1 : Definir e identificar las tecnologías de computación en la nube (cloud computing) que están siendo implementadas por los principales proveedores de plataformas públicas en la nube (Amazon, Google, Microsoft,¿).

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2022-23

No data

 

 

General

Code: 79028
Lecturer responsible:
No data
Credits ECTS: 3,00
Theoretical credits: 0,50
Practical credits: 0,70
Distance-base hours: 1,80

Departments involved

  • Dept: Computer Science and Technology
    Area: Architecture and Technology of Computers
    Theoretical credits: 0,1
    Practical credits: 0,1
  • Dept: Physics, Systems Engineering and Sign Theory
    Area: Signal Theory and Communications
    Theoretical credits: 0,2
    Practical credits: 0,4
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.
  • Dept: Software and Computing Systems
    Area: Languages and Computing Systems
    Theoretical credits: 0,1
    Practical credits: 0,1
  • Dept: Computer Science and Artificial Intelligence
    Area: Science of the Computation, Artificial Intelligence
    Theoretical credits: 0,1
    Practical credits: 0,1

Study programmes where this course is taught