Course EA 4108 · Year IV · Autumn 2024-2025

ARTIFICIAL INTELLIGENCE

Compulsory course in Applied Electronics, taught by Maria Viorela Muntean.

This course page is from 2024-2025 and is archived.
See this course for the current academic year

Overview

Lecturer
Maria Viorela Muntean
Seminar tutor
Maria Viorela Muntean
Type of course
Compulsory
Language of instruction
English
Erasmus language
English
Domain
Electronic engineering and telecommunications
Field of study
Applied Electronics
Form of education
Full-time
Form of instruction
Class
Credit awarded by
Grade
Teaching methods
Lecture, conversation, exemplification.

Aims

The course is a coherent introduction in Artificial Intelligence area, including theoretical and practical approaches.

The identification of appropriate models and methods for solving real-life problems.

The use of methodologies, specification mechanisms and development environments for the development of computer applications.

The use of computer and mathematical models and tools to solve specific problems in the application field.

Students will deal with the two AI approaches: symbolic and conexionist and they will use AI applications and languages.

Course contents

Introduction. Ai definitions. Short hystory of ai. Ai components Problem solving. Solving problems by searching. Uninformed search strategies. Informed (heuristic) search strategies Other problem solving strategies. Constraint satisfaction problems. Adversarial search (games) Knowledge representation Knowledge representation by rules Structured knowledge Uncertain knowledge and reasoning (fuzzy) Planning and learning in AI systems Artificial neural networks (ANN) foundations ANNs applications Expert Systems foundations Intelligent agents and robots.

Learning outcomes

The use of methodologies, specification mechanisms and development environments for the development of computer applications. The identification and explanation of base computer models that are suitable for the application domain. The use of computer and mathematical models and tools to solve specific problems in the application field. The identification of appropriate models and methods for solving real-life problems.

Assessment

Written paper 50% Laboratory activities portfolio 50%

Recommended reading

Artificial Intelligence: a modern approach, 3rd ed
RUSSELL, Stuart J., NORVIG, Peter
Upper Saddle River, NJ: Pearson Education, -, 2010 · -
Handbook of knowledge representation
Van, HARMELEN Frank, LIFSCHITZ, Vladimir, PORTER, Bruce
Oxford : Elsevier, Amsterdam, 2007 · -
Artificial Intelligence: a beginner's guide
WHITBY, Blay
Oxford : Oneworld Publications, -, 2008 · -