CPE Lyon
Academic Year 2025-2026
Complete syllabus outlining all topics covered in this course.
View Course PlanComprehensive overview of learning objectives, assessment criteria, and detailed schedule of lectures and practical sessions throughout the academic year.
View Course (French)Techniques for data representation, manipulation, preprocessing, transformation, and analytical methods.
View Course (French)Pattern recognition, classification, clustering, association rules, and fundamental data mining algorithms.
View Course (French)Artificial neural networks for data mining, ethical considerations in data usage, privacy, and responsible AI practices.
View Course (French)Semantic web technologies, RDF, SPARQL, ontologies, and mining linked open data for knowledge extraction.
View Course (French)Comprehensive collection of practical exercises implementing data mining algorithms, pattern recognition projects, neural network applications, and real-world datasets. Complete with tutorials and bilingual documentation.
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