Ficha

Versión en español

Course: 2023/2024

Knowledge Engineering

(13894)

Bachelor in Computer Science and Engineering (2018 Study Plan) (Plan: 431 - Estudio: 218)

Coordinating teacher: FERNANDEZ ARREGUI, SUSANA

Department assigned to the subject: Computer Science and Engineering Department

Type: Electives

ECTS Credits: 6.0 ECTS

Course: 4º

Semester:

Requirements (Subjects that are assumed to be known)

Algorithms and Data Structures (Course: 1/Semester: 2) Artificial Intelligence (Course: 2/Semester: 2) Logic (Course: 1/ Semester: 2)

Skills and learning outcomes

Link to document

Description of contents: programme

1. Introduction to Knowledge Engineering 2. Phases of development of a knowledge-based system 3. Knowledge based systems: 3.1 Production rule systems 3.2 Automated planning systems 4. Processes of analysis, design and implementation of knowledge-based IT solutions

Learning activities and methodology

* Theoretical lectures: 1 ECTS. Mainly oriented to the acquisition of the theoretical knowledge of the subject' competences * Practical lectures: 1 ECTS. * Individual work: 1,5 ECTS. Oriented, among others, towards the competences related to planning, analysis, synthesis, critic reasoning, or concept acquisition * Practice: 2 ECTS. Oriented, among others, towards the competences related to work in teams, problem solving, work organization and written communication (written reports on their homeworks and projects) * Tutorials * Final exam: 0,5 ECTS

Assessment System

The final score results from combining the scores obtained by the students both in their individual activities and when working in a team and always taking into account the effort invested by each student in the aforementioned activities. The evaluation includes the following ponderation: 

  Continuos assessment exercises: 30%
  Practical works (Lab): 30% 
  Final exam: 40%


Minimal grade in the final exam to pass de subject: 4

% end-of-term-examination 40
% of continuous assessment (assigments, laboratory, practicals...) 60

Calendar of Continuous assessment

Basic Bibliography

Nils J. Nilsson. Artificial Intelligence: A New Synthesis. Morgan Kaufmann.
Schreiber, Guus. Knowledge engineering and management : the commonKADS methodology. MIT Press.
Stuart Russell, Peter Norvig. Artificial Intelligence: A Modern Approach. Pearson / Prentice-Hall.

The course syllabus may change due academic events or other reasons.

More information: http://