This course introduces the fundamental concepts, architecture, and applications of expert systems — computer programs that emulate the decision-making ability of human experts. Students will learn about knowledge representation, inference mechanisms, and reasoning under uncertainty. The course covers rule-based systems, knowledge engineering, and the development of expert system shells. Practical examples and case studies illustrate how expert systems are applied in domains such as medicine, finance, and engineering. By the end of the course, students will be able to design, implement, and evaluate simple expert systems using appropriate tools and methodologies.
Keywords: Artificial Intelligence, Knowledge Representation, Inference Engine, Rule-Based Systems, Decision Support.
- Enseignant: Amina Guidoum (Enseignante)