OSAAMISTAVOITTEET
On successful completion of this course, students will be able to:
- Understand how common AI and machine learning algorithms & tools work on an intuitive, non-mathematical level, based on visualizations and practical experiments.
- Understand what the tools can be used for in context of art, media, and design.
- Process and/or generate images, audio, and/or text using AI and machine learning tools such as Colab Python Notebooks and Unity Machine Learning Agents
- Continue learning and experimentation independently
For more details, see the full syllabus, code examples, and exercises at https://github.com/PerttuHamalainen/MediaAI/tree/master/Lessons (updated continuously), and follow the course Twitter feed: https://twitter.com/aaltomediaai.
Laajuus: 3
Aikataulu: 11.01.2023 - 17.02.2023
Vastuuopettaja (voimassa koko opetussuunnitelmakauden):
Vastuuopettaja (koskee tätä kurssikertaa): Perttu Hämäläinen
Kurssin yhteystiedot (koskee tätä kurssikertaa):
Kurssin CEFR-taso (voimassa koko opetussuunnitelmakauden):
Opetuskieli ja suorituskielet (koskee tätä kurssikertaa):
Teaching language: Finnish. Languages of study attainment: English
SISÄLTÖ, ARVIOINTI JA KUORMITTAVUUS
Sisältö
voimassa koko opetussuunnitelmakauden:
This is a hands-on, project-based crash course on deep learning and other AI techniques for people with only few technical prerequisites:
- Basic programming skills (e.g., some python, processing, or Unity C#)
- Basic high-school math. We focus on visual explanations that are enough to understand why and how various AI methods work.
The focus is on media processing and games, which makes this particularly suitable for artists and designers.
The lessons and materials comprise three parts:
- Lectures
- Software examples
- Exercises that require you to modify the sofware examples to test your learning. The exercises provide both easy and advanced exercises to cater for different skill levels. Model solutions are provided for the easier ones, but some of the advanced exercises are left to the students and can also work as final project topics.
Full syllabus and materials (updated for each run of the course):
https://github.com/PerttuHamalainen/MediaAI
Links and resources (updated continuously):
https://twitter.com/aaltomediaai
Toteutus, työmuodot ja arvosteluperusteet
voimassa koko opetussuunnitelmakauden:
Completing a final project.
Työmäärä toteutustavoittain
voimassa koko opetussuunnitelmakauden:
Lectures, programming exercises, and a final project. The final project can focus on either applying or creating some AI or machine learning approach for creative use.
PERUSTIETOJA
Korvaavuudet
voimassa koko opetussuunnitelmakauden:
Esitiedot
voimassa koko opetussuunnitelmakauden:
LISÄTIETOJA
Lisätietoja
voimassa koko opetussuunnitelmakauden:
Teaching Language : English
Teaching Period : 2022-2023 Spring III
2023-2024 Spring III