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Course description
  MASTER'S DEGREE FINAL PROJECT

Competencies and objectives

 

Course context for academic year 2021-22

The activities carried out in the master's project or final project will be aimed at carrying out research or development work that is a direct application of the knowledge that each student has acquired in the different subjects. This work will be done individually by each one. Its methodology and conclusions will be drafted in a master's report that will be presented publicly before a court that will classify it.

 

 

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

No data

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2021-22

Putting into work in a master's degree the different skills acquired in the subjects taken: Instrumentation, automation, robotics, inspection, process control, industrial computing, etc. Those projects with a research orientation will reinforce learning in the areas of automation and robotics that are under investigation. This last aspect will allow, not only to guide learning with the possibility of exercising responsible functions in the R&D departments of companies, but also to continue training in the Doctorate program in Physics applied to Sciences and Technologies, or the Doctorate program in Computer Science.

 

 

General

Code: 37819
Lecturer responsible:
GARCIA GOMEZ, GABRIEL JESUS
Credits ECTS: 12,00
Theoretical credits: 0,00
Practical credits: 1,20
Distance-base hours: 10,80

Departments involved

  • Dept: PHYSICS, ENGINEERING SYSTEMS AND SIGNAL THEORY
    Area: SYSTEMS ENGINEERING AND AUTOMATICS
    Theoretical credits: 0
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.
  • Dept: LANGUAGES AND COMPUTING SYSTEMS
    Area: LANGUAGES AND COMPUTING SYSTEMS
    Theoretical credits: 0
    Practical credits: 0
  • Dept: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Area: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Theoretical credits: 0
    Practical credits: 0

Study programmes where this course is taught