Study Guide

Objectives (course unit)

After completing the course, a student:
- understands the fundamental concepts of artificial intelligence and its applications in the green transition
- understands how AI can contribute for developing circular economy concepts

Content (course unit)

AI Tools and Technologies such as machine learning, deep learning, natural language processing, and robotics,
Case study of how AI tools and technologies can be used in the green transition.

Location and time

Online. Weekly meetings schedule will be approved in the first session. Thursday afternoons probable.

Exam schedules

No exam.

Assessment methods and criteria

Students are graded based on attendance and participation on weekly sessions (35%), case study (35%) and final project/podcast (30%).
Opportunities for extra credit or absence makeup exist via taking support roles in team learning and/or podcasting.

Assessment scale

0-5

Teaching methods

Team learning, inquiry-based projects, and prototyping (=building a basic model of your idea to test to see what works), case study and final project are done in small teams

Learning materials

No mandatory reading.

Student workload

Approximatelly 135h in total

Content scheduling

First session on 24.9.2024. Weekly sessions for 12 weeks with the Chrismas/New Years break in the middle. The last session on or about 20.2.2025. Case study deadline on or about 30.1.2025. Podcast publication deadline on or about 17.2.2024.

Completion alternatives

The course requires in person participation in weekly online meetings. Occasional absences can be made up by taking support roles in team learning and/or podcasting.
The course defaults to students working in small teams in their case study and final project/podcast. If that is unfeasible, for example if the case study requires access to confidential information, allowances can be made for individual work after case by case consideration.

Practical training and working life cooperation

Students are encouraged to engage industry experts in their final project/podcast.

International connections

Students are encouraged to engage international industry experts in their final project/podcast and/or draw their case study topic from an international domain.