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Artificial Intelligence

Description

COURSE OBJECTIVES
Learn and test advanced AI algorithms 

COURSE DESCRIPTION
Reasoning, learning, searching for new information are key factors in any modern computer system. The goal of this course is to investigate advanced search and meta-heuristics models and algorithms that are useful solve problems of increasing complexity. These are important tools to allow the student to practically and theoretically analyze and solve also real life situations.
The course include the AI Cup competition, where students develop and test meta-heuristics algorithms on combinatorial optimization problem instances.

LEARNING METHODS
Front lecture, text reading, code development 

 

REFERENCES

  • Artificial Intelligence: a modern approach. S. Russel and Peter Norvig. Prentice Hall,
  • Course Material in English will be provided to the students 

Additional readings:

  • Artificial Intelligence, third edition, P.H. Winston, Addison-Wesley
  • Genetic Algorithms in Search, Optimisation, and Machine Learning, Goldberg, Addison-Wesley, MA

 

EXAMINATION INFORMATION

Mid terms, Final written exam, AI CUP

People

 

Gambardella L. M.

Course director

Mele U. J.

Assistant

Additional information

Semester
Fall
Academic year
2021-2022
ECTS
3
Language
English
Education
Bachelor of Science in Informatics, Elective course, 3rd year