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De quels masters s’agit-il ? Master en enseignement S4  Directement accessible après le bachelier 120 crédits répartis sur 2 années Une formation principalement dédiée à la pratique du métier d’enseignant.Master en enseignement S5 Directement accessible après le master 60 crédits (à répartir sur une ou deux années) pour élargir considérablement vos perspectives d’emploi et votre horizon d’expérience professionnelleVous prépare à enseigner au sein d’écoles secondaires, mais aussi à former des collègues en entreprise.  Assister à la séance d'information via TEAMS Aperçu complet des nouvelles formations (S4 et S5)

Obtenir instantanément la traduction en langue des signes (LSFB) d’un mot écrit en français : voilà ce que permet MOSI (Du mot au signe). Ce nouvel outil est le fruit d’une collaboration entre l’Université de Namur, l’asbl École et Surdité et l’asbl LSFB, soutenue par la Fondation Roi Baudouin.

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Construction of a Grid for Configuring Peer-Support Practices to Foster Success in First-Year University Education Cite this poster presentationDejean, K., Giraldo Arciniegas, S., Wathelet, V. (2025) Construction of a Grid for Configuring Peer-Support Practices to Foster Success in First-Year University Education, at European First Year Experience Conference, Leuven (Belgium) 26-28 May 2025, KU Leuven.Main ReferencesTopping, K. T. (1996). The effectiveness of peer tutoring in further and higher education: a typology and review of the literature, Higher Education, 32(3), 321-345Dony, M., De Clercq, M., Frenay, M. et Parmentier, P. (2015). Outil pour la construction d’une évaluation d’un dispositif d’aide à la réussite. Chaire UNESCO de pédagogie universitaire, Université catholique de Louvain, Louvain-la-Neuve.De Clercq, M., Jacquemart, J., Salmon, A. et Bachy, S. (2022). Favoriser l’évaluation des pratiques d’accompagnement de l’étudiant dans l’enseignement supérieur : entre clarification conceptuelle et discussion méthodologique. Revue des sciences de l’éducation, 48(3). https://www.erudit.org/fr/revues/rse/2022-v48-n3-rse08115/1100676ar/ ContactKarine Dejean - karine.dejean@uclouvain.be​Silvia Giraldo Arciniegas - silvia.giraldo@uclouvain.beValérie Wathelet​ - valerie.wathelet@unamur.be Download the grid

Abstract Deep learning has become an extremely important technology in numerous domains such as computer vision, natural language processing, and autonomous systems. As neural networks grow in size and complexity to meet the demands of these applications, the cost of designing and training efficient models continues to rise in computation and energy consumption. Neural Architecture Search (NAS) has emerged as a promising solution to automate the design of performant neural networks. However, conventional NAS methods often require evaluating thousands of architectures, making them extremely resource-intensive and environmentally costly.This thesis introduces a novel, energy-aware NAS pipeline that operates at the intersection of Software Engineering and Machine Learning. We present CNNGen, a domain-specific generator for convolutional architectures, combined with performance and energy predictors to drastically reduce the number of architectures that need full training. These predictors are integrated into a multi-objective genetic algorithm (NSGA-II), enabling an efficient search for architectures that balance accuracy and energy consumption.Our approach explores a variety of prediction strategies, including sequence-based models, image-based representations, and deep metric learning, to estimate model quality from partial or symbolic representations. We validate our framework across three benchmark datasets, CIFAR-10, CIFAR-100, and Fashion-MNIST, demonstrating that it can produce results comparable to state-of-the-art architectures with significantly lower computational cost. By reducing the environmental footprint of NAS while maintaining high performance, this work contributes to the growing field of Green AI and highlights the value of predictive modelling in scalable and sustainable deep learning workflows. Jury Prof. Wim Vanhoof - University of Namur, BelgiumProf. Gilles Perrouin - University of Namur, BelgiumProf. Benoit Frénay - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Clément Quinton - University of Lille, FranceProf. Paul Temple- University of Rennes, FranceProf. Schin’ichi Satoh - National Institute of Informatics, Japon

Abstract Plastic pollution has emerged as a pervasive environmental threat, with micro- and nanoplastics (MPs and NPs) accumulating across ecosystems and organisms, including humans. Their ability to adsorb and transport contaminants raises critical concerns for both environmental and public health.This thesis investigates the developmental neurotoxicity of MPs and NPs in zebrafish (Danio rerio), emphasizing the influence of particle size and mixture toxicity. NPs were shown to cross the embryonic chorion, disrupt physiological functions, and induce anxiety-like behaviour, whereas MPs mainly altered gene expression related to neurodevelopment. When co-exposed with methylmercury (MeHg), NPs enhanced MeHg accumulation in the brain and sensory organs, exacerbating its neurotoxic effects. Notably, the mixture induced severe hypoactivity, impaired lipid metabolism and neurotransmission, and increased mortality.These findings highlight the critical need to assess plastic particle toxicity not only in isolation but also in environmentally relevant mixtures. NPs, due to their small size and high reactivity, may act as vectors for toxicants like MeHg, amplifying their effects during sensitive developmental stages. Jury Prof. Frédéric SILVESTRE (UNamur), PrésidentProf. Patrick KESTEMONT (UNamur), SecrétaireDr Valérie CORNET (UNamur)Prof. Eli THORÉ (UNamur)Prof. Jérôme CACHOT (Université de Bordeaux)Dr Krishna DAS (Université de Liège)

C’est une belle reconnaissance pour l’excellence de la recherche menée à l’Université de Namur : la faculté d’informatique a été sollicitée pour rejoindre le prestigieux réseau Informatics Europe, qui rassemble les départements et facultés d’informatique les plus dynamiques à travers l’Europe.

Programme de la journée Matinée10h00-11h00 – Conférence inauguraleMarc Depaepe (KU Leuven, émérite) : History of Education in/for the Twenty-First Century11h00-12h15 – Session « Histoire de l’éducation à l’UNamur »Présentation de travaux par :Annick Castiaux (Rectrice, UNamur) : L’idéal humboldtien : qu’en reste-t-il ?Anne Roekens (Département d’Histoire, UNamur) : Petites et grandes histoires de l’enseignement spécialisé (Belgique, XXe siècle)Simon Absil (Faculté de Médecine, UNamur) : Voyage à travers l’histoire de l’enseignement de la médecine en Belgique : de la Gaule belgique au XXIe siècle12h15-13h30 – LunchAprès-midi13h30-14h30 – Speed-date académique : un moment convivial pour découvrir les projets et parcours de chacun·e14h30-15h30 – Session thématique : Voices from below in the History of EducationJuliette Louvegny : Une histoire transnationale des femmes à l’université : les étudiantes de l’Empire russe en Belgique (1880-1914)Serena Iacobino (ULB – KU Leuven) : In a "Sardine Tin": An Intersectional Reading of Photographs of Girls’ Montessori Classrooms in Colonial Congo (Elisabethville, 1913-1960)Luna Lemoine : I Thought Blind Persons Had More Access than Deaf Persons: Reparative History of (Special) Education15h30-16h00 – Coffee break16h00-17h00 – Session collective : Quelles ambitions pour ce réseau émergent ? Quels objectifs communs ? Quels formats de collaboration ?17h00 – Drink de clôture Informations pratiquesL’événement est entièrement gratuit.Merci de confirmer votre participation avant le 20 octobre 2025.Nous espérons sincèrement que vous serez des nôtres pour cette journée inaugurale, qui marquera, nous l’espérons, le début d’une belle aventure scientifique collective !N’hésitez pas à transmettre l’information à toute personne susceptible d’être intéressée,Pieter Verstraete (KULeuven) et Elsa Roland (UNamur), pour l’organisation Je m'inscris

Abstract Detecting semantic code clones in logic programs is a longstanding challenge, due to the lack of a unified definition of semantic similarity and the diversity of syntactic expressions that can represent similar behaviours. This thesis introduces a formal and flexible framework for semantic clone detection based on Constrained Horn Clauses (CHC). The approach considers two predicates as semantic clones if they can be independently transformed, via semantics-preserving program transformations, into a common third predicate. At the core of the method lies anti-unification, a process that computes the most specific generalisation of two predicates by identifying their shared structural patterns. The framework is parametric in regard with the allowed program transformations, the notion of generality, and the so-called quality estimators that steer the anti-unification process. Jury Prof. Wim Vanhoof - University of Namur, BelgiumProf. Katrien Beuls - University of Namur, BelgiumProf. Jean-Marie Jacquet - University of Namur, BelgiumProf. Temur Kutsia - Johannes Kepler University, AustriaProf. Frédéric Mesnard - University of the Reunion, Reunion IslandProf. Paul Van Eecke - Free University of Brussels, Belgium

BNAIC/BeNeLearn 2025 will be held at the University of Namur under the auspices of the Belgian-Dutch Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS). The conference aims at presenting an overview of state-of-the-art research in artificial intelligence and machine learning in Belgium, The Netherlands, and Luxembourg. More information and registration