Editors’ Choice: How Do Machines See? My Graduate Seminar this Semester

I’m really excited about the course I’m teaching this semester. DIKULT303: Digital Media Aesthetics is a graduate seminar with a topic that changes from year to year, and this year it will be about machine vision, my current obsession, and a topic I think is going to be immensely important over the next decades. The key question is: What happens to our understanding of the world when we no longer primarily rely on human perception but use machines and algorithms to sense our surroundings? We’ll be reading theory, learning about the history of visual technologies, and exploring digital art, literature, apps and games that engage with the question of machine vision.

UiB is switching to a self-hosted Canvas installation as an LMS, and I’ve been enjoying figuring out good ways to use it to craft a course design where learning activities, learning outcomes and assessment are well integrated. So if you’re curious, you can look at the syllabus or the modules to see how the course is structured. This lets you see the individual assignments, readings and lecture topics.

DIKULT303 is an MA level course primarily for students of Digital Culture at UiB, but also welcoming exchange students and MA- or PhD-level students from other programs at UiB. If you are interested in taking the course, sign up at Studentweb if you are a Digital Culture MA program, or email studieveileder@lle.uib.no if you are in a different program.

But you may be wondering what I even mean by machine vision?

Read full post here.

This content was selected for Digital Humanities Now by Editor-in-Chief Lacey Wilson based on nominations by Editors-at-Large: Harika Kottakota.