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Artificial Intelligence

Description

AI deals with intelligent behavior, learning, and adaptation in machines, robots and body-less computer programs. The goal of this course is to investigate advanced AI models and algorithms useful to solve real-world search, constraint satisfaction, games and machine learning problems also in case of unprecise and stochastic knowledge.

 

 

REFERENCES

  • Artificial Intelligence: A Modern Approach (3rd Edition) by Stuart Russell, Peter Norvig 
  • Pattern Recognition and Machine Learning (Information Science and Statistics) Christopher M. Bishop
  • Probabilistic Graphical Models. Covers factor graphs and Bayesian networks, Koller and Friedman. 
  • Course Material in English will be provided to the students

 

The course is not offered in the academic year 2017/18

 

People

 

Gambardella L.

Course director

Additional information

Semester
Fall
Academic year
2017-2018
ECTS
6
Education
Master of Science in Artificial Intelligence, Core course, Lecture, 2nd year