• DocumentCode
    2566728
  • Title

    Curricular development required to support adaptive predictive expert control projects and business in industry

  • Author

    Reviriego, Antonio Nevado ; Borgoñón, Hector Pastor ; Llano, Rebeca Rada ; Slaven, Ken ; Sánchez, Juan Martín ; Peréz, Ricardo Requena

  • Author_Institution
    Electr. & Comput. Eng. Dept., Spanish Univ. for Distance Educ. (UNED), Madrid, Spain
  • fYear
    2012
  • fDate
    13-15 June 2012
  • Firstpage
    336
  • Lastpage
    341
  • Abstract
    This paper has been written to identify the needs and competencies required for new graduate student intake in a small company dedicated to the design and build of process control systems for a variety of applications in a diverse range of industries. While emphasis has been placed on core technical competencies such as IT (Information Technology), electronics, control techniques, industrial process knowledge, project management and perhaps an ability to relate to diverse and unfamiliar industries from a control perspective, there is also an emphasis on the softer cognitive skills such as communication, presentation and being effective in a team. There should be a recognition among students that base skills will change as the industrial environment changes and new technologies emerge. The combination of skills required should lead therefore to a process of continuous improvement, change and life long learning well beyond the content of the course.
  • Keywords
    adaptive control; continuing professional development; control engineering education; educational courses; predictive control; process control; project management; adaptive predictive expert control projects; cognitive skills; control techniques; curricular development; electronics; graduate student intake; improvement; industrial environment changes; industrial process knowledge; information technology; life long learning; process control systems; project management; Companies; Industries; Knowledge engineering; Optimization; Predictive control; Predictive models; Optimisation; adaptive predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies Applied to Electronics Teaching (TAEE), 2012
  • Conference_Location
    Vigo
  • Print_ISBN
    978-1-4673-2485-4
  • Type

    conf

  • DOI
    10.1109/TAEE.2012.6235461
  • Filename
    6235461