Introduction to artificial intelligence 4010-WSIa

1. Introduction to AI - Definition, Applications (3lec)
2. Fundamentals of Machine Learning - Supervised, Unsupervised, and Reinforcement Learning. Essential Mathematics in Machine Learning. (3lec)
3. Unsupervised and Supervised Machine Learning (3lec + 3lab)
4. From Machine Learning to the Perceptron. Shallow Neural Networks (3lec + 3lab)
5. Image Analysis - Classification, Noise Reduction, Segmentation. (6lab)
6. Neural Networks with Embedded Knowledge (3lab)
7. Law and Ethics in AI (3lab)

The order of topics covered and the level of detail covered may vary slightly.