TRA 385 Machine Learning and AI through Artistic Innovation

AI in Computational Arts, Music, and Games

 

What is TRA 385?

  • The Intersection of Art and AI
  • Hands-on Experiences with ML and AI tools
  • Considerations in Societal Implications
AI in Computational Arts, Music, and Games

 

Course Structure - Activities

Activities
Lectures Introduction to Art and Technology Introduction to AI and ML Creativity, Group work, and Tools for Innovation
Tutorials Creative Coding with Sound (PureData) Multimedia Design with TouchDesigner Deep Learning for Multimedia Interactive ML with Physical Computing
Project Project Proposal Design Iterations Final Prototype Reflections
AI in Computational Arts, Music, and Games

 

Course Structure - Assessment

Title Individual vs. Group Grade Notes Assessment
Assignment 1 The Pillars of an AI Artwork Individual 10% a report on AI artwork from known artists graded on coherency, and integration of literature
Assignment 2 Project Proposal Group 20% a project proposal (written report and a presentation) for a new artwork assessed by novelty, aesthetics, impact, and feasibility
Assignment 3 Design Iterations Group 25% a report on project progress, tasks, and design toolkit utilization assessed by integration of design literature, technology research and development, and feasibility
Assignment 4 Documentation Group 15% audio, video, and technical documentation of the made artwork aesthetics, artwork production quality, and documentation quality
Final Paper Interventions Analysis of the Final Project Individual 30% an academic report about societal implications of the made artwork, analyzed using Interventions research method assessed by coherency, integration of literature, critical analysis
AI in Computational Arts, Music, and Games

 

Example Artworks from Students

AI in Computational Arts, Music, and Games

 

A Walk in the Park (2024)

AI in Computational Arts, Music, and Games

 

Waves of Despair (2024)

AI in Computational Arts, Music, and Games

 

Gaze (2025)

AI in Computational Arts, Music, and Games

 

Pedagogy Methods Applied in TRA 385

Theory Methods
Experiential Learning Theory [1] Studio-based Learning, Project-based Learning, Peer-to-peer Learning, Critical Reflections


[1] Kolb, David A., Richard E. Boyatzis, and Charalampos Mainemelis (2001). “Experiential Learning Theory: Previous Research and New Directions”. In: Perspectives on Thinking, Learning, and Cognitive Styles. Num Pages: 21. Routledge. isbn: 978-1-4106-0598-6.

AI in Computational Arts, Music, and Games

 

Studio-Based Learning (2024)

  • A space for group work
  • Mobile workstations
  • A physical course space
  • A digital course for out of curriculum knowledge exchanges
AI in Computational Arts, Music, and Games

 

Studio-Based Learning (2026)

  • Lecture halls
  • Specific rooms for tutorials
  • A digital workspace for out of curriculum knowledge exchanges
  • Group rooms for group works
AI in Computational Arts, Music, and Games

 

Project-Based Learning

  • Introductions to Design tools for ideation, project management, etc.
  • Supervision sessions
  • Project proposal and mid-project reporting
AI in Computational Arts, Music, and Games

 

Peer-to-Peer Learning and Groupwork

  • Student Profiles
  • Group Forming
  • Comments from the students
AI in Computational Arts, Music, and Games

 

Student Profile - Educational Backgrounds


2024 2025
Software Engineering And Technology MPSOF, Entrepreneurship And Business Design, MPBDP, Applied Mechanics MPAME, Data Science And Ai MPDSC, Physics MPPHS, Interaction design, MPIDE, Alumni Architecture and Urban Design, Industrial Design Engineering MPDES, Systems, control and mechatronics, Sound and Vibration, Electrical Engineering - TKELT, B.Sc., Mechanical Engineering, Microsystem Integration Technology, MTMAS, Entrepreneurship and Business Design, MPBDP, Alumni
AI in Computational Arts, Music, and Games

 

Student Profile - Countries-lived


Countries that you have lived in, including your country of origin, in the format [Country]-[number of months/years lived there], such as Sweden-22 years, South Korea-3 years

2024 2025
Iraq, Turkey, Sweden, Germany, United Kingdom, Norway, United States, France, Lithuania, Pakistan Germany, Netherlands, China, Mexico, Sweden, Croatia, Austria
AI in Computational Arts, Music, and Games

 

Student Profile - Gender


Gender (optional; if provided, we will use this information to try forming groups with the aim that you are not the only person with this gender in your group)

2024 2025
2 "woman", 7 "female", 1 non-binary, 6 "male" 6 "male", 5 "female", one unanswered
AI in Computational Arts, Music, and Games

 

Group Forming

  • Teams of 4-5 people
  • Team forming
    • Teachers form teams
    • Diversity in group forming
    • Interdisciplinarity
    • A teamwork agreement
    • Introductions to conflict management
AI in Computational Arts, Music, and Games

 

Comments from Students - Group work


Groups worked well although they were somewhat random, maybe having a chance to form
groups on the first day instead of having them pre-determined would have worked better


The groupwork worked pretty well! The first contract at the beginning of the course
felt a bit strange but was very nice to have as a backup! Though there were some
communciation issues within our group, in general the teamwork went great and we
really bonded together! I think I have made some friends for life here :)


Cooperation worked well in the end, during the course there were some difficulties,
but we got through it. I think that one of the problems was that a lot of things were
new for us Erasmus students so it was hard to do time management and adjust the
scope of the project accordingly

AI in Computational Arts, Music, and Games

 

Comments from Students - Learning Environment


There was a very nice and a bit more informal setting that worked really well for
inviting me to ask questions or feel appreciated for my input. In general all teachers
were really positive about everything and that kept us going even if we were more
insecure.


I felt very welcome to learn and I think the environment was very open and welcom-
ing in general! Thanks for that :)

AI in Computational Arts, Music, and Games

 

Comments from Students - Project-based Learning


The main project and excitement building up to the final presentations was really
nice and good to have


I very much liked the theme of the course, the open nature of the projects and the
amount of resources that were available to us.


I like the project assignment system a lot


Everything was very well communicated and the Canvas page for this course worked
a lot better than for some of my other courses :)

AI in Computational Arts, Music, and Games

 

Comments from Students - A Memorable Experience


I think I have made some friends for life here :)


This has been the most inclusive course I’ve ever taken at Chalmers! All to-dos on diversity and inclusion have made me think and reflect on problems I knew nothing about before. Include that to everyone


I had a lot of fun during this course, I also learned a lot and really feel like this was
a course that made my exchange semester more meaningful!

AI in Computational Arts, Music, and Games

 

Thank You!

Questions?

AI in Computational Arts, Music, and Games