Current Trends in Artificial Intelligence

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

Enrolling in ‘Current Trends in Artificial Intelligence’ means that you simultaneously follow 'Machine Learning' or have successfully passed ‘Machine Learning’.

Taught in

English

Partnership Agreement

Under agreement for exchange of courses

Faculty

Faculty of Sciences and Bioengineering 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

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.

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