6 ECTS credits
150 u studietijd
Aanbieding 1 met studiegidsnummer 4018115ENR voor alle studenten in het 2e semester met een verdiepend master niveau.
During this course we will watch a number of video MLSS lectures on a number of machine learning topics. MLSS stands for Machine Learning Summer School and is recurring summer school for PhD students in machine learning. The lectures are giving by top experts on the particular topic.
The lastest information can be found on the webpage of this course at https://ai.vub.ac.be/courses/
Overall, to acquire the necessary skills to understand and to make a synthesis of the state of the art topics in machine learning and complex dynamical systems.
Knowledge and insight: After successful completion, the student should have knowledge and insight in the domain of machine learning and complex dynamical systems which allows her or him to provide an original contribution to the domain.
The use of knowledge and insight: The student is able to combine the ideas discussed in the course to tackle a new problem in an interesting way.
Judgement ability: The student can make an independent judgement of papers in these scientific domains.
Communication: The student is able to present the papers reviewed during the course to fellow students and to formulate his own opinion concerning the content.
Skills: The student can search for, collect, read and synthesize papers in this area of research.
De beoordeling bestaat uit volgende opdrachtcategorieën:
HOC Groepswerk bepaalt 50% van het eindcijfer
WPO Paper bepaalt 50% van het eindcijfer
Binnen de categorie HOC Groepswerk dient men volgende opdrachten af te werken:
Binnen de categorie WPO Paper dient men volgende opdrachten af te werken:
Permanent evaluation based on
1. Presence during the video lectures
1.1 At the beginning of each class students have to sign an attendance list.
1.2 If you cannot be present for some reason then you have to send an email beforehand to bernard.manderick@vub.be.
2. Activity during the class
3. Extra marks can be obtained by presenting own work related to the topics discussed during the course.
Deze aanbieding maakt deel uit van de volgende studieplannen:
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Artificiële Intelligentie
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Multimedia
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Software Languages and Software Engineering
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Data Management en Analytics
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Data Management and Analytics (enkel aangeboden in het Engels)