ARTIFICIAL INTELLIGENCE
General Information
This subject will introduce you to artificial intelligence techniques, mostly from a practical point of view.
Professor
Hector Garcia de Marina (hgarciad@ucm.es)
Evaluation
The final grade will consist of a number of quizzes during the the course, and a final project during the last two weeks of the course.
Software requirements
Ubuntu 20.04 & Python
Instructions to set up the required software
Work groups
The groups are the same as for NP1, please check them here
Schedule
| Day/Month | Topic | Deliverable | Quizz |
|---|---|---|---|
| 18/01 | Introduction | ||
| 19/01 | Math recap for AI and NumPy, Jupyter excercises, Sample image, Jupyter classroom notes | ||
| 25/01 | Neural Networks from scratch | ||
| 26/01 | Neural Networks from scratch 2 | ||
| 08/02 | Neural Networks with pyTorch | Exercise on Neural Networks from Scratch | Quizz on Neural Networks from scratch |
| 09/02 | Neural Network exercise with pyTorch | ||
| 15/02 | Neural Network regression with pyTorch | ||
| 16/02 | Support-vector machine | ||
| 22/02 | Support-vector machine assignment | ||
| 23/02 | Genetic algorithm | Genetic algorithm slides | Quizz on Support-vector machines |
| 01/03 | K-nearest neighbors, data.txt, targets.txt | K-nearest neighbors slides | |
| 02/03 | |||
| 08/03 | PID controller | PID controller slides | |
| 09/03 | |||
| 15/03 | Path following | Path following slides | Path following (sine trajectory) |
| 16/03 | |||
| 22/03 | Work on Final Project | Final project exercises | |
| 23/03 | Work on Final Project | ||
| 29/03 | Work on Final Project | ||
| 30/03 | Work on Final Project | ||
| 05/03 | Work on Final Project | ||
| 06/03 | Work on Final Project |
