Génie industriel - Rubrique Formation - 2022

Knowledge engineering - 4GMC14A1

  • Number of hours

    • Lectures 7.5
    • Projects -
    • Tutorials 7.5
    • Internship -
    • Laboratory works -
    • Written tests 1.5

    ECTS

    ECTS 1.5

Goal(s)

This course is an introduction to knowledge engineering.
Students will learn how to formalize and automatically exploit knowledge for decision aiding.

Responsible(s)

Abdourahim SYLLA

Content(s)

Introduction to Knowledge Engineering
Some applications of Knowledge Engineering
Data VS. Information VS. Knowledge
Different types of knowledge
Knowledge engineering VS. Knowledge management
Methods for capturing expert knowledge
Knowledge formalization frameworks

Case-based reasoning
The main concepts of Case-Based Reasoning (CBR)
CBR process, knowledge and development models
Implementing a flat attributes-values representation based CBR system
Implementing an object oriented representation based CBR system
Academic project on the implementation of a CBR system

Prerequisites

Students will have taken and validated the following courses: Probability and Statistics; Programming with Python.

Test

Session 1
One mark for the practical work : TP
One mark for the examen : E1
Final mark = 0.4*TP + 0.6 * E1

Session 2
One mark for the examen : E2

Note session 1 = 0.4*TP + 0.6 * E1
Note session 2 = Max(Note session 1,E2)

Cette pondération est compatible avec une organisation des enseignements et des examens en distanciel.
La participation de chaque étudiant est prise en compte dans les évaluations.
The participation of each student is taken into account in the evaluations.

Calendar

The course exists in the following branches:

  • Curriculum - Engineer student Master SCM - Semester 7
  • Curriculum - Engineer student Master PD - Semester 7
see the course schedule for 2024-2025

Additional Information

Course ID : 4GMC14A1
Course language(s): FR

You can find this course among all other courses.

Bibliography

Case-Based Reasoning: A Textbook, Richter and Weber, Springer 2013

King (2009), Knowledge Management and Organizational Learning , Springer

Kolodner Janet L. (1993), Case-Based Reasoning. M. Kaufmann

Bergmann, R., Kolodner, J., & Plaza, E. (2005). Representation in case-based reasoning. Knowledge Engineering Review, 20(3), 209-214

Aamodt, A., & Plaza, E. (1994). Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI communications, 7(1), 39-59

Simon Kendal and Malcolm Creen (2007) An introduction to knowledge engineering, Springer.