Table of contents

The course is connected to the following study programs

Teaching language

English

Learning outcomes

On successful completion of the course, the student should:

  • Understand the concept of 21st century skills and be able to incorporate them in practice through technology.
  • Practice critical thinking and be able to evaluate the validity and quality of information.
  • Increase literacy about AI tools for design, development, and evaluation, with a split view on ethical consideration.
  • Be able to use common academic tools.
  • Understanding the basic rules, regulation and legislation concerning data governance and ethical considerations.

Contents

When adapting and implementing new technologies, such as powerful AI models, there are many things to take into consideration. This course will look at practical challenges in such processes but also focus on philosophical and ethical considerations in this context, as well as develop clear focus on critical thinking. Another aim of the course is to teach 21st-century skills and how they can be practically applied. The course is designed to enable learners to gain hands-on experience through various activities and projects using tools that are essential for any master student. The course is divided in to five modules which are dedicated to each of the learning outcomes.

The course will have a very practical approach and underline the connection between the main parts of the course. Implemented in the course students will also gain an understanding of the importance of data protection and general security measures connected to research and academic processes. Students will gain an understanding of the significance of ethical practices in all aspects of academia and the challenges the introduction of new technologies might pose.

Teaching and learning methods

The course will be taught using a hybrid approach with a mix of physical and digital lectures with online resources, group discussions, peer reviews and practical work with concrete tools.

Expected workload for students is 200 hours.

Examination requirements

Compulsory assignments must be approved to take the examination. Information about compulsory assignments will be given in the LMS, at the start of the semester.

Examinations

The final grade for this course is based on two main components:

  • Group Project with Individual Report (60%): Students will work collaboratively in groups to complete a project. Each student must also submit an individual report. The group work, and the individual report, will account for 60% of the final grade. Detailed guidelines and requirements for the report will be provided on Canvas.
  • Group Oral Presentation (40%): Each group will deliver an oral presentation of their project, which will contribute 40% toward the final grade.

It is not allowed to deliver improved versions of the project in connection with new or postponed examinations.

Graded assessment.

Student evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Offered as a free-standing course

Yes. Subject to availability or capacity.

Admission Requirement if given as a free-standing course

Admission requirements for the course are the same as for the master’s programme in Multimedia and Game Technologies.

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
MM-106 – Computer Awareness. 5
MM-901 – Web and Computer Awareness. 5
MM-404 – Computer Awareness. 5
Last updated from FS (Felles studentsystem) Oct. 15, 2026 6:37:34 PM