XR Technologies in Service Business (5 cr)
Code: MZ00CM25-3001
General information
- Timing
-
09.02.2026 - 20.05.2026
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Business
- Campus
- Main Campus
- Teaching languages
- English
- Seats
- 20 - 40
- Degree programmes
- Bachelor's Degree Programme in Service Business
- Teachers
- Kalle Raijonkari
- Susanna Riekkinen
- Groups
-
MPT24S1Palveluliiketoiminnan tutkinto-ohjelma (AMK)
-
ZJA26KMAvoin amk, marata
-
MPT25VKPalveluliiketoiminnan tutkinto-ohjelma (AMK), vaihto-opiskelu/Exchange studies
- Course
- MZ00CM25
Evaluation scale
0-5
Content scheduling
You must confirm your attendance on this course by completing the orientation assignment by the given deadline.
The first ~10 weeks of the course are used to get acquainted with XR technologies and their relation to service design, which is done by weekly lectures and learning assignments. The final weeks of the course are reserved for project work and project presentations.
Objective
Englanniksi
The object of the course:
In the Introduction to XR technologies course you will learn how different XR technologies, such as Virtual Reality, Augmented Reality and Mixed Reality, are utilized in different fields. During the course you will use different kinds of XR devices and explore different kinds of XR experiences related to your field of study.
After completing this course, you will have gained insight into how different XR technologies could be utilized in your field of study. You will also understand how different XR experiences are produced and will be able to communicate the advantages and disadvantages of different XR-technologies.
You do not need prior experience of XR technologies on this course, and you do not also need any special IT skills. The course is directed for everyone who is interested in expanding their digitalization toolkit.
Course competences:
Learning to learn: The student takes responsibility for group learning and sharing what has been learned.
Operating in a workplace: The student utilizes the opportunities offered by technology and digitalization in their work.
Proactive development: The student is able to work in projects in cooperation with actors of different fields.
Business competence: The student understands the importance of technology and digital services in business and organizational workflow.
The learning objectives of the course:
After completing the course, you will know the basics of currently relevant XR technologies and how they are applied. You will be familiar with the basic terminology, current trends and conventions of the utilization of XR technologies in your field. You will have a general understanding of how XR experiences are produced.
Content
During this course you will use XR devices and explore XR experiences related to your study field in practice. You will utilize different applications to do a practical study of the XR technologies relevant to the digitalization of your field.
Materials
Mandatory learning materials are provided in the course's Moodle learning space. Learning materials include videos, articles, and e-books from Jamk's library.
Supporting literature: P. J. Benckendorff, Z. Xiang, P. J. Sheldon. 2019. Tourism Information Technology. 3rd edition.
Teaching methods
During the course the students will learn the principles of designing a service product which features the use of XR technologies.
The course will be delivered as weekly contact lectures, cases studies, individual and group learning assignments as well as project-based learning. The weekly learning assignments will require students to find information about and test various XR experiences. The course culminates in the Final Project, where students will design and plan a novel service product which utilizes XR technologies, based on the theoretical framework provided by the course.
Employer connections
During the course students will find and test real world use-cases of XR-technologies. The course can have an industry guest working in QA schedule permitting.
Exam schedules
There is no exam on the course.
International connections
International case examples
Completion alternatives
You have the right to apply for recognition of your studies if you have prior learning (e.g. university studies completed elsewhere) that can be accredited towards the degree you are currently completing.
The recognition of prior learning is possible in three primary ways: accreditation (replacement or inclusion), recognition of informal learning and studification. More precise info: Jamk Degree Regulations, section 17.
Student workload
One credit corresponds to 27 hours of work, which means that the load of 5 credits is approximately 135 hours.
The 135 hours will divide roughly in the following way:
In-class activities: ~45 hours
Final Project: ~30 hours
Self-study: ~60 hours
Assessment criteria, satisfactory (1)
Grade 1: You understand the basics of the currently relevant XR technologies.
Grade 2: You can understand the basics of the currently relevant XR technologies and can find practical applications for the technologies in your field of study.
Assessment criteria, good (3)
Grade 3: You understand the basics of the currently relevant XR technologies and can determine how the practical applications for the technologies can impact your field of study.
Grade 4: You understand the basics of currently relevant XR technologies and can evaluate the advantages and disadvantages of how the different technological applications can impact your field of study.
Assessment criteria, excellent (5)
Grade 5: You understand the basics of and can create new concepts with currently relevant XR technologies. You are able to evaluate the advantages and disadvantages of your concepts in the context of your study field.
Further information
Course assessment is based on the course learning objectives and assessment criteria. Students can demonstrate their learning in the final project. Completion of smaller assignments and course activities, as well as self-assessment, also contribute to the course grade.
Usage of Artificial Intelligence in your learning assignments must follow Jamk guidelines and ethical principles.