Competencies and objectives
Course context for academic year 2023-24
Course content (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2023-24
Specific Competences (Specific Technology):>>Computer Science
- CEC1 : Capacity to have a deep understanding of the basic principles and models of computing and know how to apply them to interpret, select, value, model and create new computer-related concepts, theories, uses and technological developments.
- CEC3 : Capacity to evaluate the computational complexity of a problem, understand algorithmic strategies that may solve it and recommend, develop and implement the one that guarantees the highest performance on the basis of the requirements laid down.
- CEC5 : Capacity to acquire, obtain, formalise and represent human knowledge in computable fashion to solve problems using computer systems in any field of application, particularly those associated with aspects of computing, perception and activities in intelligent environments.
Basic Competences
- CB3 : Students must be able to gather and interpret relevant data (usually within their area of study) in order to make judgements that include reflection on relevant social, scientific or ethical issues.
Learning outcomes (Training objectives)
No data
Specific objectives stated by the academic staff for academic year 2023-24
No data
General
Code:
34029
Lecturer responsible:
Arques Corrales, Maria Del Pilar
Credits ECTS:
6,00
Theoretical credits:
1,20
Practical credits:
1,20
Distance-base hours:
3,60
Departments involved
-
Dept:
SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
Area: CIENCIA DE LA COMPUTACIO, INTEL·LIGENCIA ARTIFICIA
Theoretical credits: 1,2
Practical credits: 1,2
This Dept. is responsible for the course.
This Dept. is responsible for the final mark record.
Study programmes where this course is taught
-
DEGREE IN COMPUTER ENGINEERING
Course type: OPTIONAL (Year: 4)