All programmes > Programme > Capita Selecta Computer Science: Artificial Intelligence

Capita Selecta Computer Science: Artificial Intelligence (B-KUL-H05N0A)

4 ECTSEnglish26 Both termsCannot be taken as part of an examination contract
Guns Tias (coordinator) |  Moens Marie-Francine
POC Computerwetenschappen

Aims

  • The  student is familiar with one or more contemporary advanced topics in artificial intelligence.  
  • The student is able to independently familiarize himself with such topics by making use of scientific papers and literature.
  • The student is able to independently familiarize himself with techniques, tools and software in these topics.
  • The student is familiar with the research methodology of artificial intelligence.
  • The student is able to independently solve assignments in artificial intelligence.
  • The student is able to  report on such tasks and assignments in oral and written form.

Previous knowledge

  • The student has a basic knowledge of artificial intelligence.
  • The student is familiar with algorithms and is able to program in different programming languages.
  • The student knows the mathematical basis that underlies artificial intelligence and computer science.
  • The student has knowledge of machine learning or functional and logic programming.

Order of Enrolment

Mixed prerequisite:
You may only take this course if you comply with the prerequisites. Prerequisites can be strict or flexible, or can imply simultaneity. A degree level can be also be a prerequisite.
Explanation:
STRICT: You may only take this course if you have passed or applied tolerance for the courses for which this condition is set.
FLEXIBLE: You may only take this course if you have previously taken the courses for which this condition is set.
SIMULTANEOUS: You may only take this course if you also take the courses for which this condition is set (or have taken them previously).
DEGREE: You may only take this course if you have obtained this degree level.


SIMULTANEOUS( H0E96A ) OR SIMULTANEOUS( H0E98A )

The codes of the course units mentioned above correspond to the following course descriptions:
H0E96A : Beginselen van machine learning
H0E98A : Principles of Machine Learning

Is included in these courses of study

Activities

4 ects. Capita Selecta Computer Science: Artificial Intelligence (B-KUL-H05N0a)

4 ECTSEnglishFormat: Lecture26 Both terms
Moens Marie-Francine
POC Computerwetenschappen

Content

This course deals with a variety of advanced and contemporary themes in the field of artificial intelligence - themes that are often, but not necessarily research-oriented.
The contents of this course and the themes considered can change each year, in function of
- Progress in the scientific domain
- Research themes that are dealt with in the department
- Research projects that are executed in the department
- Visitors to the department, with an expertise that is not part of the current curriculum.
The concrete teaching form will depend on the chosen themes, the chosen problems and the teachers. Often, the teaching form is based on scientific articles.
A teaching form that is often used consists of
- a small number of introductory lectures or work sessions by the teacher
- a larger number of lectures or work sessions in which one of more students present one or more articles, followed by a discussion.
- working on one or more assignments en presenting as well as reporting on the obtained results.

Evaluation

Evaluation: Capita Selecta Computer Science: Artificial Intelligence (B-KUL-H25N0a)

Type : Continuous assessment without exam during the examination period
Description of evaluation : Paper/Project, Report, Presentation

Explanation


One or more assignments are given and the students have to report in reports and/or in presentations.  

Information about retaking exams

A retake in the second exam period is possible, after making arrangements with the teachers involved.