Graduate courses (MLSS)

Introduction to Gaussian Processes and Active Learning:
Regression, Classification, Experimental Design and Bayesian Optimization.

Practical session at the 18th Machine Learning Summer School.

Materials

Undergraduate courses (CUD)

Automatic Systems (Control Theory)

  • Fall 2016-17

The materials of the course can be found in the Moodle platform.

Fundamentals of computer science (CS 101)

  • Spring 2018-19
  • Spring 2017-18
  • Spring 2015-16
  • Fall 2014-15
  • Fall 2013-14
  • Fall 2012-13
  • Spring 2011-12
  • Spring 2010-11

The materials of the course can be found in the Moodle platform.

Other courses

Advanced Cybersecurity

  • Spring 2019
  • Fall 2016