Error message
User error : Failed to connect to memcache server: druportbe01:11211 in dmemcache_object() (line 415 of /production/drupal/dim_prod/drupal/d7cl4/prod/unich/releases/7/web/sites/all/modules/contrib/memcache/dmemcache.inc ).
Single discipline educational activity
Course Sheet Academic Year of enrolment:
Hours of classroom activity:
Objectives
Contents Introduction to Artificial Intelligence;
Problem solving in AI;
Knowledge Representation;
Machine learning techniques in the field of artificial intelligence, such as neural networks and deep learning, discussing their properties and applicability.
Extended Syllabus - Introduction to Artificial Intelligence: brief history of AI, main application fields, introduction to knowledge-based systems and architectural organization.
- Problem solving in AI: representation through the notion of state, forward e backward reasoning, solving as a search and search strategies (informed and non). Games, constraint satisfaction problems, and planning problems.
- Knowledge Representation: First Order Predicate Logic, Production Rules Systems, Knowledge-based systems, Some hints about formal ontologies.
Languages for Artficial Intelligence.
- Introduction to the Python programming language
- Machine learning
- Introduction to Machine learning
- Neural networks
- Deep learning
- Feedforward networks
- Convolutional networks
- Recurring networks
Recommended Bibliography S. J. Russel, P. Norvig: "Artificail Intelligence: A modern approach", Prentice Hall, Last or previous edition.
Methods of Provision
Teaching Methods Front lectures and exercises in classroom using blackboard, projector and
computer; practical activities (guided exercises).
Laboratory exercises in Python using various libraries for machine learning.
Although recommended, course attendance is not mandatory.
Evaluation methods Verification of learning:
Mandatory written/practical examination and optional oral examination.