•   Robotic Automation DIG4HM103-3004 16.01.2023-19.05.2023  5   (MAICTE, ...) +-
    Learning objectives
    • model business information processes
    • recognize and evaluate opportunities for robotic automation
    • implement a software robot for task automation
    • design a business process automation using a software robot
    Starting level and linkage with other courses
    The student must be ready for self-directed study planning, stand-alone information seeking on discussion forums and trial-and-error approach for completing hands-on exercises. No prior programming experience is required and all exercises are done using graphical software tools. However, very basic algorithmic skills are needed and the student must acquire these skills independently whenever needed.
    Contents
    • visual modelling of information processes
    • preconditions for robotic business process automation
    • industry case studies of robotic process automation
    • development tools for software robots
    • implementation of a software robot for task level automation
    • design of a process level automation
    Assessment criteria
    Assessment criteria - grade 1
    The student understands the basic concepts of robotic automation and its application for business process improvement. They manage the basic use of the automation tool and are capable of designing an automation of a simple task.
    Assessment criteria - grade 3
    The student has a good understanding of the robotic automation concepts and its application for business process improvement. They manage the use of the automation tool well and are capable of designing a business process automation.
    Assessment criteria - grade 5
    The student has an excellent understanding of the robotic automation concepts and its application for business process improvement. They manage the use of the automation tool excellently and are capable of designing a challenging business process automation.
    Further information
    When the implementation type of the course is contact, online or blended it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25%, your grade will be lowered by one. If you are absent more than 50%, the course is failed.
    Campus

    Pasila Campus

    Teaching language

    English

    Timing

    16.01.2023 - 19.05.2023

    Learning assignments

    Practical automation programming exercises Tests of the theoretical knowledge (quizzes)

    Enrollment

    02.01.2023 - 14.04.2023

    Groups
    • MAICTE
    • NONSTOP
    • VIRTUAL
    • MADIGE
    • EXCH
    Teachers

    Jouni Soitinaho, Ralf Rehn, Hanna Mäenpää

    Seats

    31 - 100

    Degree Programme

    BUTEM Degree Programme in Business Technologies, ATBUM Degree Programme in Aviation and Tourism Business, LEBUM Degree Programme in Leading Business Transformation

    R&D proportion

    0.00 cr

    Virtual proportion

    5.00 cr

    Evaluation scale

    H-5