Artificial Intelligence Programming Paradigms

6 ECTS credits
150 h study time

Offer 1 with catalog number 4013069FNR for all students in the 2nd semester at a (F) Master - specialised level.

Semester

2nd semester

Enrollment based on exam contract

Impossible

Grading method

Grading (scale from 0 to 20)

Can retake in second session

Yes

Enrollment Requirements

Students must have followed ‘Natural Language Processing’, before they can enroll for ‘Artificial Intelligence Programming Paradigms'.

Taught in

English

Partnership Agreement

Under agreement for exchange of courses

Faculty

Faculty of Sciences and Bioengineering Sciences

Department

Computer Science

Educational team

Paul Van Eecke (course titular)

Activities and contact hours

26 contact hours Lecture
26 contact hours Seminar, Exercises or Practicals

Course Content

In this course you will build intelligent systems that are able to interact with their environment through natural language. The fundamental idea behind this is that the meaning of natural language expressions can be modelled as executable programs. For this purpose, we use techniques from the
domain of symbolic AI, including knowledge representation, reasoning, constraint programming and search.

This course will focus on a specific application, e.g. visual question answering, database querying, robot instructions. A different application is chosen every year, partly depending on the interests of the students. Please note that this course does not deal with text-related NLP, but exclusively targets situated natural language understanding.

It is strongly recommended that you follow the Natural Language Processing course, before taking up this course.

Additional info

None

Learning Outcomes

General competencies

The student has an extensive theoretical and practical knowledge of the basic concepts of symbolic AI programming.

Practical hands-on experience

The student not only has theoretic knowledge of the topics under consideration but also practical hands-on experience.

Grading

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 examination with a relative weight of 1 which comprises 100% of the final mark.

Additional info regarding evaluation

Oral examination, closed book.

Questions on the course content, including but not limited to the theoretical background of the project, its execution, the implementation details and the student's contribution.

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