Max amount of FITech students: 250
Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.
This course is intended as a primer in artificial intelligence (AI). The course goes through basic concepts (with examples) in AI, covering topics in symbolic AI, data mining, and machine learning. The overall goal is to demystify these concepts and give the students a basic understanding of the past, the present, and a bit about the future of AI. This course is intended as a non-technical introduction, which means that prior skills in programming or mathematics are not required.
Learning outcomes
After completing the course, the students have an overview of various applications of AI and of the fundamental problems, methods, and algorithms that underlie and that are necessary to build the AI applications. The course gives the student a good basis for further study of the said methods and algorithms, with the main goal of ’demystifying’ AI.
Teaching methods
The course can be completed fully online and no physical presence is required. The lectures and exercises will be available on the course page and can be viewed at your own pace. Lecture recordings available on the course platform. You can also attend classes on campus.
- Exercise meetups on Tuesdays 14:15-16 (4.3.–1.4.).
- Lecture on Fridays 14:15-16 (28.2.–4.4.).
There will be weekly exercises and deadlines.
Completion methods
Lectures and solving/returning assignments.
More information in the Aalto University study guide.
You can get a digital badge after completing this course.
