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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

People

 

Gambardella L. M.

Course director

Zaffalon M.

Course director

Casanova Flores A.

Assistant

Additional information

Semester
Fall
Academic year
2019-2020
ECTS
6
Language
English
Education
Master of Science in Artificial Intelligence, Core course, Lecture, 2nd year

Master of Science in Financial Technology and Computing, Core course, Lecture, 2nd year