| Week | Date | Topic | Lecturer |
|---|---|---|---|
|
1 |
13.1 |
Introduction |
T?nnes Nygaard, Jan Tore L?nning |
|
2 |
20.1 |
Search |
T?nnes Nygaard |
|
3 |
27.1 |
Evolutionary Algorithms I |
T?nnes Nygaard |
|
4 |
3.2 |
Evolutionary Algorithms II |
T?nnes Nygaard |
|
5 |
10.2 |
Supervised learning: kNN and scaling |
Jan Tore L?nning |
|
6 |
17.2 |
Perceptron and Linear regression |
Jan Tore L?nning |
|
7 |
24.2 |
Logistic regression |
Jan Tore L?nning |
|
8 |
3.3 |
Multi-layer neural networks and backpropagation |
Jan Tore L?nning |
|
9 |
10.3 |
Topics in supervised learning |
Jan Tore L?nning |
|
10 |
17.3 |
Glimpse: Deep neural networks |
Jan Tore L?nning |
|
11 |
24,3 |
Unsupervised learning |
|
|
12 |
7.4 |
Reinforcement learning |
|
|
13 |
14.4 |
Distributed systems / Self-organising systems / Autonomous agents |
|
|
14 |
21.4 |
History and Philosophy of AI |
|
|
15 |
28.4 |
Ethics & Future perspectives |
|
|
16 |
5.5 |
Summary |