Digitization of Processes & Data Mining

CPE Lyon

Academic Year 2025-2026

Transformation of traditional workflows into intelligent digital processes through data mining, big data analytics, and semantic web technologies.
INPUT DIGITIZE 1 0 1 0 1 1 ANALYZE M S DIGITAL TRANSFORMATION

Course Overview

Syllabus

Course Content & Structure

Complete syllabus outlining all topics covered in this course.

View Course Plan

Course Materials

Introduction

Introduction

Comprehensive overview of learning objectives, assessment criteria, and detailed schedule of lectures and practical sessions throughout the academic year.

View Course (French)
Data Management

Data Processing & Analysis

Advanced techniques for data representation, manipulation, processing workflows, and analytical methods for extracting actionable insights from digitized processes.

View Course (French)
Semantic Technologies

Linked Open Data

Semantic web technologies, RDF data models, SPARQL query language, and leveraging linked open data to enhance process digitization and enable intelligent data integration across systems.

View Course (French)

Practical Sessions

GitHub Repository

Digitization of Processes Repository

Hands-on exercises focused on process digitization, data mining implementations, and semantic web applications. Includes real-world case studies, sample datasets, implementation guides, and comprehensive tutorials in French.

Access on GitHub