 I don't know if everybody understands it, but AI is everywhere. We Google search something, we navigate our maps, everything has some sort of AI behind it. The minor AI is an important step if you want to go into that direction. Programming was something that I wanted to do for a long time, but I didn't feel secure enough to try it on my own, so that's why I needed a little push, and the minor was perfectly suited for that. I followed a programming course in my bachelor, so then I got interested and I got a notification on Canvas that showed me about this new AI minor. We teach the fundamentals of Python programming, but we also teach students how to think like a computer, which covers the algorithmic thinking part, so building algorithms, procedures that do exactly what we want them to do in order to solve computational tasks. The fun part is that you also get to apply the knowledge that you gain, so an example of that is I learned about neural networks, but also got to build a neural network, so that was really fun. You need to program a lot at the minor, and the program is actually learning a language. You need to try it out, look it up, experiment with it. I would describe the student population as very diverse. It's a wide spectrum of people from people with a solid mathematical and programming background and people from a more theoretical background like law or psychology, who are super excited and enthusiastic about learning how to teach a computer to do things. So in the minor you have a lot of different levels of students, and this can be a little bit challenging for the professor of course, but for all the different levels they have a lot of patience to maybe explain it a little bit more, or find some extra literature for you to look into. So I'm a communication information scientist student. I currently don't have a technical background, but when following this artificial intelligence minor I realized that I want to go further within AI, so that's why I also want to follow the artificial intelligence and cognitive science master. Of course you have also exams. Luckily the professors really prepare you well and let you know great time beforehand what they expect from you. You start with easy things like really basic knowledge about AI, but afterwards you get more into different and more difficult types of concepts, but it's really doable because the teachers are really helping you and providing enough information and support. I don't want to be that person, but you have to put in the hours and the effort. There is a specific amount of hours assigned to the course, and that's something that I say in the first lecture. So what was a great advantage for me was that the minor wasn't full-time, so therefore I could still do my other courses at my own university, and the fact that the minor is quite hybrid and there are opportunities to go to campus and to talk with everybody, or you can just do it in your own pace. I would say even if you try the minor AI and you don't end up following that track or that career path, still I do think that some programming experience or at least some knowledge about how a computer works and how AI works and how machine learning works is valuable for the rest of your career, whatever that is.