•   Artificial Intelligence and Service Robotics in Hospitality Business HOS017AS2AE-3001 15.01.2024-15.03.2024  5   (RE4HA3, ...) +-
    Learning objectives
    *Is able to identify realistic opportunities for applying AI and service robotics in hospitality business
    *Is able to critically assess the operational, managerial and ethical implications of automating specific hospitality tasks
    *Is able to build a realistic business case and strategic roadmap for leveraging AI and service robots in hospitality in the short- and long-term
    Contents
    *Introduction to artificial intelligence (AI) and service robotics in hospitality business
    *From Human-Computer Interaction to Human-AI Interaction: theories underpinning the field
    *Building a business case for applying AI and service robotics in hospitality business
    *Strategic and operational implications of using AI and service robotics in hospitality
    *AI ethics
    Assessment criteria
    Assessment criteria - grade 1
    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.

    The student is able to recognise and understand the major turning points in AI and service robotics theory and practice and how they relate to hospitality business. The student is able to describe the key elements needed for building a successful AI and service robotics business case.
    Assessment criteria - grade 3
    The student is able to analyse the different turning points in AI and service robotics theory and practice, including how they relate to hospitality business. The student is able to develop a compelling AI and service robotics business case, with some consideration for AI ethics.
    Assessment criteria - grade 5
    The student is able to critique the overall development of AI and robotics in general and in relation to hospitality business. The student is able to build a strong business case for using AI and service robotics in different hospitality business contexts, also critically considering the broader implications of technology use (e.g. AI ethics).
    Teaching methods and instruction

    Lectures, guest lectures, flipped learning, hands-on demos. No technical knowledge is required to attend the course. Just a curious mind.

    Learning material and recommended literature

    Material provided by the teachers at the start of the course.

    If you really (really) want to get started, read: https://www.forbes.com/sites/forbestechcouncil/2023/05/18/solving-the-need-for-robotics-in-hospitality-facilities/

    Working life connections

    Real-world examples and case studies. Real development project.

    Campus

    Haaga Campus

    Exam dates and re-exam possibilities

    There is no exam in this course.

    Teaching language

    English

    Internationality

    International course material, international examples, international guest lectures.

    Timing

    15.01.2024 - 15.03.2024

    Learning assignments

    The course includes both group and individual assignment.

    Enrollment

    02.01.2024 - 12.01.2024

    Content scheduling

    Teaching Mondays and Fridays at 9-10.45am

    Groups
    • RE4HA3
    • CONTACT
    • EXCH
    Alternative learning methods

    Please see Haaga-Helia's guidelines for Recognition of Prior Learning (RPL): https://www.haaga-helia.fi/en/career-planning/recognition-learning

    Teachers

    Aarni Tuomi, Thomas Kingelin

    Seats

    15 - 40

    Further information

    1-5

    Degree Programme

    EXPER Hospitality and Tourism Experience Management

    R&D proportion

    0.00 cr

    Virtual proportion

    0.00 cr

    Evaluation scale

    H-5