3 ECTS credits
84 h study time

Offer 1 with catalog number 1023837ANR for all students in the 2nd semester at a (A) Bachelor - preliminary level.

2nd semester
Enrollment based on exam contract
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Taught in
Faculty of Sciences and Bioengineering Sciences
Computer Science
Educational team
Paul Van Eecke (course titular)
Activities and contact hours
12 contact hours Lecture
12 contact hours Seminar, Exercises or Practicals
Course Content

This module aims to teach the students a basic knowledge of computational linguistics. The basic knowledge about computational linguistics that the module aims to teach is the following: first of all, the techniques used, such as formal grammar models, stochastic models and neural network models. Secondly, how these are applied: on the one hand in practical systems for natural language processing and on the other hand in computational linguistic models meant to understand how human language works.

Additional info


Learning Outcomes

General Competencies

  • Being able to apply knowledge of general and computational linguistics.

  • Being aleto reimplement simple models (in relevant cases with the aid of toolboxes)

  • Being open to interdisciplinary cooperation and being able to apply knowledge in

    professional and international contexts.

  • Knowledge of the ethics involved in natural language processing



The final grade is composed based on the following categories:
Oral Exam determines 100% of the final mark.

Within the Oral Exam category, the following assignments need to be completed:

  • Oral Exam with a relative weight of 1 which comprises 100% of the final mark.

    Note: Oral exam with written preparation

Additional info regarding evaluation

Oral exam with written preparation.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Bachelor of Artificial Intelligence: Default track (only offered in Dutch)