Transformative Technologies for Future (5 cr)

Evaluation scale

H-5

Objective

The aim of this course is to increase knowledge about digital transformation trends, and future game-changing technologies that enable innovative solutions for digitalization of organizations, and digital business solutions and processes. Student learns about novel technologies and is able to assess their application possibilities in innovation and digital transformation. Student recognizes the value that novel technologies can create, and can innovate value-creating solutions. Student is able to identify and analyze the ethical and sustainability issues related to the use of the technologies. Student learns to assess the technologies and their impacts, and evaluate their potential. Main competences on the course: proactive development, operating in a workplace, sustainable development, ethics, learning to learn

Content

- Digital transformation and digitalisation - Novel technologies for future development - Opportunities and assessment of technology and digitalisation in development and management - Value creation and impacts of digitalisation and technology-based solutions - Ethics and sustainability in the adoption and application of future technologies - Technologies to be addressed are chosen based on students' interests and future technology trends, including e.g., robotics, IoT, automation, AI and big data analytics, block chain, cloud, mobile, AR/MR/VR, wearable technologies, crowdsourcing etc and their application in student’s field of work

Location and time

Online contacts in ZOOM (mandatory): 23.09.2025 at 17-20.15 Start (orientation, group assignment presentation) 21.10.2025 at 17-20.15 Mid-point check (questions & answers about the groups assignment) 18.11.2025 at 17-20.15 Final presentations (presentation of the group assignment) Majority of the work happens independently in groups, there is no specific lectures about the given subjects.

Materials

Course material will be distributed in Moodle when the course starts.

Teaching methods

Inquiry-based learning Individual and/or group assignments

Exam schedules

There is no exam from the course. If the student does not select a topic and group within the given deadline in Moodle, the student will be rejected and removed from the course automatically. If student does not perform the course activities in due time, no late assignments/returning are NOT accepted after the deadlines

Student workload

5 ECTS are equivalent to 135 hours. 1 ECTS corresponds to 27 hours.