Friday, March 27 (13:30-15:00, room 1)
Lecture 1: Foundations of Machine Learning
Monday, April 6 (13:30-15:00, room 3)
Lecture 2: Multi-Layer Perceptron (MLP)
Friday, April 10 (13:30-15:00, room 3)
Lecture 3: Convolutional Neural Network (CNN)
Tuesday, April 21 (13:30-15:00, room 1)
Lecture 4: Self-supervised and Semi-supervised Learning (optional)
Tuesday, April 28 (13:30-15:00, room 1)
Lecture 5: Transformers and Large Language Models (LLMs)