Specialisation in Artificial Intelligence
A wide variety of techniques will be taught, including intelligent robotics, artificial deep neural networks, machine learning, metaheuristics optimization techniques, data mining, data analytics, simulation and distributed
algorithms. The main courses are integrated with laboratory works where students have the possibility to use real robots and to practice with state of the art tools and methodologies.
Across the two years students must acquire:
- 30 ECTS out of 36 ECTS of core courses
- 18 ECTS of “Artificial Intelligence” tagged courses and write their thesis in the same area
6 ECTS can be acquired from non-INF Master programmes at USI.
| Course | ECTS | Sem |
|---|---|---|
| Advanced Topics in Machine Learning | 6 | Autumn |
| Artificial Intelligence | 6 | Autumn |
| Deep Learning Lab | 3 | Autumn |
| Computer Vision & Pattern Recognition | 6 | Spring |
| Data Analytics | 6 | Spring |
| Graph Deep Learning | 3 | Spring |
| Robotics | 6 | Spring |
| Security Aspects of Machine Learning | 3 | Spring |
Students graduating with this specialisation will develop a taste for working on complex problems. In their future careers, they will be able to apply their knowledge in many interdisciplinary areas including robotics, business forecasting, intelligent search, video games, music and entertainment, chat bots, medical diagnostics, self-driving cars, to name a few.
