6 ECTS credits
150 h study time

Offer 1 with catalog number 4013065FNR for all students in the 1st and 2nd semester at a (F) Master - specialised level.

Semester
1st and 2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Registration for 'Actual Trends in Artificial Intelligence' is allowed if one has successfully accomplished or is enrolled for 'Machine Learning'.
Taught in
English
Partnership Agreement
Under agreement for exchange of courses
Faculty
Faculty of Science and Bio-engineering Sciences
Department
Computer Science
Educational team
Johan Loeckx (course titular)
Activities and contact hours

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

This course is given together with the IRIDIA Lab at the ULB. Different (international) guest lecturers with an expertise in AI will give a talk about their current work in AI.

Examples from the previous years are:  The New Science of Networks, Evolutionary Robotics, Neurorobotics, Complex Systems, Bio-Inspiration and Morphogenetic Engineering, Supervised Pattern Set Mining, Data-driven approaches to natural language processing, Computational models of the evolution of speech and language, Big data Bioinformatics.

Course material
Digital course material (Required) : slides en achtergrondinformatie gastsprekers, http://ai.vub.ac.be/courses/2014-2015, http://ai.vub.ac.be/courses/2014-2015
Additional info

http://ai.vub.ac.be/courses/2014-2015

Learning Outcomes

participeren

The student is able to participatie actively in a scientific debate.

aanpakken&techno beoordelen

The student is aware of current trends in Artificial Intelligence en has the competence to judge different approaches and technologies.

Sterke en zwakke punten

The student can enumerate strengths and weaknesses of different AI technologies and under what circumstances they can be applied.

Open onderzoeksvraagstukken

The student will also learn about open research questions to stimulate their own explorations in the field.

Grading

The final grade is composed based on the following categories:
Oral Exam determines 40% of the final mark.
PRAC Practical Assignment determines 60% of the final mark.

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

  • Mondeling examen with a relative weight of 1 which comprises 40% of the final mark.

Within the PRAC Practical Assignment category, the following assignments need to be completed:

  • Praktijkopdracht with a relative weight of 1 which comprises 60% of the final mark.

Additional info regarding evaluation
Students will have to implement approaches that are presented during the course, using practical AI applications. They will have to present their work by the end of the course and will be graded on basis of that presentation and the quality of their implementation.

Academic context

This offer is part of the following study plans:
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Data Management and Analytics (only offered in Dutch)
Master of Applied Sciences and Engineering: Computer Science: Artificial Intelligence
Master of Applied Sciences and Engineering: Computer Science: Multimedia
Master of Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering
Master of Applied Sciences and Engineering: Computer Science: Data Management and Analytics
Master of Teaching in Science and Technology: computerwetenschappen (120 ECTS, Etterbeek) (only offered in Dutch)