Artificial Intelligence and Service Robotics in Hospitality Business - HOS017AS2AE - Opinto-opas

Artificial Intelligence and Service Robotics in Hospitality Business, 5 cr - HOS017AS2AE

Upcoming implementations

Artificial Intelligence and Service Robotics in Hospitality Business HOS017AS2AE-3002 24.03.2025-16.05.2025 5 op (RE4HA4, ...) +-
Campus

Haaga Campus

Teaching language

English

Timing

24.03.2025 - 16.05.2025
Groups
- RE4HA4
- MALTA2025K
- CONTACT
- EXCH
Teachers

Aarni Tuomi, Joel Pakalén

Seats

20 - 40

Degree Programme

EXPER Hospitality and Tourism Experience Management

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5

Current implementations

No ongoing implementations yet.

Past implementations

Artificial Intelligence and Service Robotics in Hospitality Business HOS017AS2AE-3001 15.01.2024-15.03.2024 5 op (RE4HA3, ...) +-
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

*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

*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

Lectures, visiting lectures, hands-on demo sessions, RPL

Digital material provided by the lecturers

The robots are coming!! Technology poses to automate more tasks in hospitality. Forward-looking professionals need to understand the current state and future outlook of automation in hospitality in order to lead the way (and to prevent Skynet from taking over the world!)

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.

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.

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).