Ir a cuerpo Ir a Estudios, Gobernanza y organización
Logo UA
Realizar búsqueda
Course description
  IT APPLIED TO ARCHITECTURE

Competencies and objectives

Provisional information. Pending approval.

 

Course context for academic year 2010-11

No data

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees)

Inherent transversal competences:>>Cognitive Instrumental

  • CG21 : Capacity for imagination, fantasy and creativity. Ability to convert imaginative and creative situations into diagrams or maps for interaction. Capacity to understand the logic of fantasy, its resources and possibilities.
  • CG22 : Ability to handle complex information. Capacity to develop complex processes from situations of uncertainty.

 

UA Basic Transversal Competences

  • CGUA11 : Capacity to adapt to new concepts and methods. Capacity to learn and apply new concepts and methods in a self-sufficient and interdisciplinary manner.
  • CGUA12 : Capacity to adapt to new professional technological models. Capacity to assimilate and adapt to the permanent evolution of technology during professional career.
  • CGUA7 : Capacity for expression. Capacity for oral and written expression.
  • CGUA9 : Capacity for group work. Capacity to perform well in collective and group work, sharing tasks and taking on roles.

 

Inherent transversal competences:>>Methodological Instrumental

  • CG23 : Ability to solve problems. Capacity to focus information and instruments for action on resolving previously diagnosed conflicts.
  • CG26 : Ability to integrate different knowledge and disciplines. Capacity to understand the multiple nature of the problems faced and the ability to select and incorporate the most effective arguments.

 

Inherent transversal competences:>>Technological Instrumental

  • CG30 : Ability to use information technologies. Capacity to understand the importance of managing information in the modern world and show consistent interest in the dynamics proposed by the ever-growing information technologies.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2010-11

No data

 

 

General

Code: 20559
Lecturer responsible:
No data
Credits ECTS: 6,00
Theoretical credits: 0,00
Practical credits: 2,40
Distance-base hours: 3,60

Departments involved

  • Dept: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Area: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Theoretical credits: 0
    Practical credits: 2,4
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught