Competencies and objectives

 

Course context for academic year 2021-22

En esta asignatura se revisarán técnicas básicas de optimización de problemas, así como las bases del aprendizaje automático que servirá para proponer un desafío.

 

 

Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2021-22

Specific Competences (Specific Technology):>>Computer Science

  • 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 2021-22

 

  • Conocer y utilizar ténicas básicas de optimización de problemas.
  • Conocer técnicas básicas de aprendizaje automático. 

 

 

 

General

Code: 34032
Lecturer responsible:
Rico Juan, Juan Ramón
Credits ECTS: 6,00
Theoretical credits: 0,90
Practical credits: 1,50
Distance-base hours: 3,60

Departments involved

  • Dept: LANGUAGES AND COMPUTING SYSTEMS
    Area: LANGUAGES AND COMPUTING SYSTEMS
    Theoretical credits: 0,9
    Practical credits: 1,5
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught