Specific Course Information for Expert Systems
Course Title: Expert Systems
Level: 4th Year (Computer Science)
Weekly Duration: 1 hour and 30 minutes
Coefficient: 2
Course Type: Annual
Course Objectives
The primary goal of this course is to introduce students to expert systems, a key technique in artificial intelligence. Students will gain knowledge about the architecture, inference mechanisms, and the tools and methodologies used in designing and implementing expert systems.
Prerequisites or co-requisites: Artificial Intelligence
Course Content
Chapter I: Expert Systems
- Architecture of an Expert System
- Inference Engine
Chapter II: Methodology and Tools for Building an Expert System
- Classification of Expert Systems
- Methodologies
- Tools for Building an Expert System
Course Outcomes
By the end of this course, students will:
- Understand the foundational concepts of expert systems.
- Be able to explain the architecture and functioning of an inference engine.
- Learn the classification and methodologies involved in creating expert systems.
- Be familiar with the tools available for developing expert systems.
References
- Filippo Peverelli et al., "L’intelligence Artificielle," EIVD Report, Lausanne, 2002.
- F.Y. Villemin, "Intelligence Artificielle B: Introduction et définition," 2001.
- J.-M Karkan & G. Tjoem, "Systèmes Experts: Un nouvel outil pour l’aide à la décision," Edition Masson, 1993.
- R. Voyer, "Moteurs de Systèmes Experts," Edition Eyrolles, 1987.
- H. Farreny & M. Ghallab, "Éléments d’intelligence artificielle," Edition Hermes, 1992.
- François Denis, "Cours d’Intelligence Artificielle: Systèmes Experts."
