Competencies and objectives

 

Course context for academic year 2022-23

The Final Year Project (FYP) consists in the presentation of a report and the defence of the work in a public exhibition in front of an academic committee, that has a value of 100% of the global qualification of the subject.

 

 

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

Final Project Competences (PFG)

  • CTFG : Original exercise to be prepared individually and defended before a university panel, consisting of a professional project in the field of computer engineering that synthesises or integrates the competences acquired during one's studies. One should also acquire the following competences, corresponding to the specific field of technology chosen in each case.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

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

Final Year Project will include, besides basic and common skills acquired in the Degree in Computer Engineering, those skills related to the selected field in the module of specific technologies.

 

 

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General

Code: 34071
Lecturer responsible:
VICEDO GONZALEZ, JOSE LUIS
Credits ECTS: 12,00
Theoretical credits: 0,00
Practical credits: 1,20
Distance-base hours: 10,80

Departments involved

  • Dept: INFORMATION TECHNOLOGY AND COMPUTING
    Area: COMPUTER ARCHITECTURE
    Theoretical credits: 0
    Practical credits: 0,29
  • Dept: PHYSICS, ENGINEERING SYSTEMS AND SIGNAL THEORY
    Area: SYSTEMS ENGINEERING AND AUTOMATICS
    Theoretical credits: 0
    Practical credits: 0,08
  • Dept: LANGUAGES AND COMPUTING SYSTEMS
    Area: LANGUAGES AND COMPUTING SYSTEMS
    Theoretical credits: 0
    Practical credits: 0,4
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.
  • Dept: ECONOMIA FINANCERA I COMPTABILITAT
    Area: FINANCIAL ECONOMICS AND ACCOUNTING
    Theoretical credits: 0
    Practical credits: 0,07
  • Dept: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Area: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Theoretical credits: 0
    Practical credits: 0,36

Study programmes where this course is taught