List of competencies you should have after individual lectures. (Will be updated continuously.)
The table below shows the links to upcoming lecture rooms/passed lecture recordings. You can also find the links to rooms and recordings in BRUTE, or in the FELSight portal.
The order of lectures is subject to change.
The PDFs are from previous years. They will be updated during the semester.
Date | W# | Who | Contents | Materials |
---|---|---|---|---|
16.02. | 1 | PP | AI, PR, learning and robotics. Decision tasks. Empirical learning. | Slides. Handouts. |
23.02. | 2 | PP | Linear methods for classification and regression. | Slides. Handouts. |
02.03. | 3 | PP | Non-linear models. Feature space straightening. Overfitting. | Slides. Handouts. |
09.03. | 4 | PP | Nearest neighbors. Kernel functions, SVM. Decision trees. | Slides. Handouts. |
16.03. | 5 | PP | Bagging. Adaboost. Random forests. | Slides. Handouts. |
23.03. | 6 | PP | Neural networks. Basic models and methods, error backpropagation. | Slides. Handouts. |
30.03. | 7 | PP | Deep learning. Convolutional and recurrent NNs. | Slides. Handouts. |
06.04. | 8 | PP | Probabilistic graphical models. Bayesian networks. | Slides. Handouts. |
13.04. | 9 | PP | Hidden Markov models. | Slides. Handouts. |
20.04. | 10 | PP | Expectation-Maximization algorithm. | Slides. Handouts. |
27.04. | 11 | RM | Planning. Planning problem representations. Planning methods. | Handouts |
04.05. | 12 | RM | Constraint satisfaction problems. | Handouts |
11.05. | 13 | RM | Scheduling. Local search. | Handouts |
18.05. | 14 | PP | Reserve. Summarizing run through the topics. |