•   Intelligent systems AT22IS05-3002 12.02.2024-19.05.2024  5 credits  (AT23HP-V) +-
    Competence objectives of the study unit
    The course focuses on modern intelligent systems in process automation and control. The goal is to give insights and understanding of the design and usage of intelligent systems in automation.

    Knowledge and understanding
    After completing the course, the student should be able to:
    - explain the basic steps and functionality of intelligent systems for automation
    - describe the challenges and opportunities with intelligent systems

    Skills and abilities
    After completing the course, the student should be able to:
    - analyze the needs and requirements for an intelligent system
    - practice with different methods for realizing intelligent systems

    Evaluation ability and approach
    After completing the course, the student should be able to:
    - plan the development of an intelligent system
    - propose and evaluate solutions for intelligent systems
    Prerequisites
    No prerequisites
    Content of the study unit
    The course focuses on different ways of designing and implementing intelligent systems in a process and automation context. Important steps of an intelligent system are data collection, preparation, visualization (monitoring) and the final step of automated decision making. Examples of automated decision making are detection of missing data, identification of faults and malfunctions, classification tasks, process optimization and system control. The content could explicitly include data-driven and model-driven fault detection, principles of interface design, digitalization and cyber security issues and aspects concerning IoT solutions.
    Assessment criteria
    Assessment criteria – satisfactory (1-2)
    Satisfactory skills in understanding and development of intelligent systems
    Assessment criteria – good (3-4)
    Good skills in understanding and development of intelligent systems.
    Assessment criteria – excellent (5)
    Excellent skills in understanding and development of intelligent systems.
    Name of lecturer(s)

    Ray Pörn

    Teaching language

    English

    Timing

    12.02.2024 - 19.05.2024

    Enrollment date range

    30.11.2023 - 15.02.2024

    Group(s)
    • AT23HP-V
    Responsible unit

    Faculty of Technology and Seafaring

    Teachers and responsibilities

    Ray Pörn, Kaj Wikman

    Degree Programme(s)

    Degree Programme in Automation Technology

    Campus

    Vasa, Wolffskavägen 33

    RDI share

    0.00 credits

    Share of online studies

    0.00 credits

    Assessment scale

    H-5