6 ECTS credits
150 u studietijd
Aanbieding 1 met studiegidsnummer 1002079CNW voor werkstudenten in het 1e semester met een gespecialiseerd bachelor niveau.
Learning of concepts (version spaces and decision trees)
Bayesian learning
Instance based learning
Neural Networks
Evaluation of hypotheses: confidence, bias and variance
Computational learning theory
Reinforcement learning
Clustering
- The student needs to perform a case study in which a machine learning approach is applied on real data.
- The information will be available via the learning platform
- The course is in English
- Course book: Machine Learning, T.M. Mitchell
Knowledge and insights:
The student has knowledge about a broad spectrum of learning techniques and insights in this research domain. The student has knowledge and insights about existing methods to evaluate obtained hypotheses. The student is capable to follow a specialised master-level course in this domain.
Application of knowledge and insights
The student is capable of making an informed choice regarding learning algorithms to solve new concrete problems and of applying these techniques correctly, as well as evaluating the obtained results.
Forming judgement
The student has to be capable to give sound arguments around applying given algorithms on given problem settings.
Communication
The student is capable to motivate and communicate choices towards both experts and non-experts in the domain.
Learning skills
The student has developed the necessary skills to independently implement and analyse learning algorithms, and to apply these techniques on a large array of problems.
De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Schriftelijk bepaalt 75% van het eindcijfer
WPO Praktijkopdracht bepaalt 25% van het eindcijfer
Binnen de categorie Examen Schriftelijk dient men volgende opdrachten af te werken:
Binnen de categorie WPO Praktijkopdracht dient men volgende opdrachten af te werken:
The written examination is open book and contains one question which can optionally be presented orally.
The case study assignment is mandatory and represents 25% of the final grade. The student should obtain a final grade of at least 10/20, as well as score at least 7/20 for each of the parts composing the final grade (the case study and the written examination), in order to pass the course.
Deze aanbieding maakt deel uit van de volgende studieplannen:
Bachelor in de computerwetenschappen: Standaard traject
Bachelor in de wiskunde en Data Science: Standaard traject
Bachelor in de artificiële intelligentie: Standaard traject
Master in de ingenieurswetenschappen: werktuigkunde-elektrotechniek: voertuigtechnologie en transport
Master of Electromechanical Engineering: Sustainable Transport and Automotive Engineering (enkel aangeboden in het Engels)