Design of Circular AI-Based Services, 3 credits

Main field of study with advanced study

Degree of Bachelor including an independent project 15 credits or Degree of Bachelor of Science in Engineering including an independent project 15 credits. The degree must be equivalent to a Swedish kandidatexamen or Swedish högskoleingenjörsexamen and must have been awarded from an internationally recognised university. English 6. Exemption of the requirement in Swedish is granted.

The course is given as a single subject course.

The aim of the course is for the student to understand what circular economy is and how it can be a key for business strategy to address environmental goals. The student will get an understanding of how circular business models can be achieved by using design of digital services, digital transformation, and artificial intelligence (AI) as enablers.

Following successful completion of the course the student should be able to:

Knowledge and understanding

• describe basic approaches for circular and sustainable business practice from a digital service perspective
• understand enablers and opportunities such as Machine Learning, data analysis, and other AI technologies in relation to digital strategy for circular business models

Skills and ability

• formulate requirements for, and select, appropriate tools and metrics for specific circularity and sustainability objectives
• systematically analyze and prioritize the steps needed to initiate a circular transformation from a digitalization and data perspective

Judgement and approach

• critically analyze and evaluate tools, methods, and metrics for achieving science-based sustainability impact and avoiding undesired practices, such as greenwashing

The course looks at the role digital technology and AI can play in circular business transformation. It explores what circular economy is, why it is a key for business survival and meeting climate challenges, and how circular business models can be enabled using data-driven services. The central concepts of the course (e.g., circularity, sustainability, business and societal impact of data-driven services, and human-centered data science) are explored both from a theoretical and a practical perspective on designing for people, planet, and prosperity.

The teaching consists of lectures and case studies, as well as exercises with supervision.

If there are special reasons, the examiner may make exceptions from the specified examination format and allow a student to be examined in another way. Special reasons can e.g. be study support for students with disabilities.

Course evaluation is part of the course. This evaluation offers guidance in the future development and planning of the course. Course evaluation is documented and made available to the students.