Text

AI-driven Prognostics for Industrial Systems

  • Credits 3 credits
  • Education level Second cycle
  • Study location Distance with no obligatory meetings
  • Course code ERA324
  • Main area Energy Engineering

Occasions for this course

Spring semester 2025

  • Spring semester 2025

    Scope

    3 credits

    Time

    2025-01-20 - 2025-03-30 (part time 25%)

    Education level

    Second cycle

    Course type

    Freestanding course

    Application code

    MDU-13052

    Language

    English

    Study location

    Independent of location

    Teaching form

    Distance learning
    Number of mandatory occasions including examination: 0
    Number of other physical occasions: 0

    Course syllabus & literature

    See course plan and literature list (ERA324)

    Specific requirements

    75 credits in energy engineering, mechanical engineering, production technology, product and process development, computer technology and/or computer science or equivalent or 40 credits in technology and at least 2 years of full-time professional experience from a relevant area within industry. In addition, English A/English 6 is required.

    Selection

    University credits