Artificial Intelligence
People
Course director
Assistant
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
Education
- Bachelor of Science in Informatics, Elective course, 3rd year
