DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCES
Master's Degree in Computer Science
Academic Year 2016/2017 - 1° Year - Data Science Curriculum

INTELLIGENZA ARTIFICIALE E LABORATORIO

Teaching Staff

Learning Objectives

• Artificial Intelligence
  

  Knowledge and understanding: Students will acquire basic knowledge about Intelligent Agents and their main features.
  Applying knowledge and understanding: students will be to able to apply the acquired knowledge in several fields such as: searching for solutions to hard combinatorial problems, games and decision theory, automated deduction and reasoning.
  Autonomia di giudizio (making judgements): Students will be able to evaluate the possibility of developing algorithms and intelligent systems to mechanize decisional processes in different application fields.
  Communication skills: students will acquire the necessary communication skills and appropriate linguistic skills to explain and clarify problems relative to intelligent systems and their applications.
  Capacità di apprendimento (learning skills): students will be able to adapt the acquire knowledge to new contexts as well and to understand the limits of applicability of artificial intelligence techniques

• LABORATORIO
  

  The Laboratory focuses on the design and develop of several and different algorithms for complex problem solving. The goal of the laboratory is to provide to each student a deep and excellent knowledge on the several Artificial Intelligence search algorithms, included the feature basics of the natural computing algorithms.

Detailed Course Content

• Artificial Intelligence
  

  The course is divided into 2 main parts. First part on Problem Solving, and second part on Knowledge and Reasoning.

  Contenuti dettagliati del Corso:

  FIRST PART: Problem Solving

  • Foundations and history of Artificial Intelligence
  • Intelligent Agents and classifications
  • Search and Problem Solving
  • Search in games
  • Constraint Satisfaction Problems
  • Search using Natural Computing Algorithms

  • SECOND PART: Knowledge and Reasoning

  • Logical agents and puzzles
  • First order logic
  • Inferences
  • Utility and value of information
  • Simple and Complex decision making

Textbook Information

• Artificial Intelligence
  

  Required textbook is Artificial Intelligence, a modern approach, 3^rd Edition, S. Russel, P. Norvig. Other material will be provided by the instructor in class.