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Our training center offers a wide range of training courses for teaching and support professionals.The training courses we offer are created on the basis of emerging needs in the field, our research findings and recent scientific literature updating promising practices for professionals.

Synopsis The spreading of internet-based technologies since the mid-90s has led to a paradigm shift from monolithic centralized information systems to distributed information systems based upon the composition of software components, interacting with each other and of heterogeneous natures. The popularity of these systems is nowadays such that our everyday life is touched by them.Classically concurrent and distributed systems are coded by using the message passing paradigm-according to which components exchange information by sending and receiving messages. In the aim of clearly separating computational and interactional aspects of computations, Gelernter and Carriero have proposed an alternative framework in which components interact through the availability of information placed on a shared space. Their framework has been concretized in a language called Linda. A series of languages, referred to nowadays as coordination languages, have been developed afterwards. In addition to providing a more declarative framework, such languages nicely fit applications like Facebook, LinkedIn and Twitter, in which users share information by adding it or consulting it in a common place. Such systems are in fact particular cases of so-called socio-technical systems in which humans interact with machines and their environments through complex dependencies. As coordination languages nicely meet social networks, the question naturally arises whether they can also nicely code socio-technical systems. However, answering this question first requires to see how well programs written in coordination languages can reflect what they are assumed to model.This thesis aims at addressing these two questions. To that end, we shall use the Bach coordination language developed at the University of Namur as a representative of Linda-like languages. We shall extend it in a language named Multi-Bach to be able to code and reason on socio-technical systems. We will also introduce a workbench Anemone to support the modelling of such systems. Finally, we will evidence the interest of our approach through the coding of several social-technical systems. The Jury Prof. Wim Vanhoof - University of Namur, BelgiumProf. Jean-Marie Jacquet - University of Namur, BelgiumProf. Katrien Beuls - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Laura Bocchi - University of Kent, United KingdomProf. Stefano Mariani - UNIMORE University, Italy Participation upon registration. Register here

The university has a duty to set an example in terms of sustainable development, in all three of its dimensions: economic, social and environmental. Sustainable "in form" through the way it manages its infrastructures and assets, and sustainable "in substance" through its commitment to research and teaching activities, in order to actively contribute to the environmental transition. All in line with the United Nations' Sustainable Development Goals (SDGs).

SynopsisA honeypot is a security tool deliberately designed to be vulnerable, thereby enticing attackers to probe, exploit, and compromise it. Since their introduction in the early 1990s, honeypots have remained among the most widely used tools for capturing cyberattacks, complementing traditional defenses such as firewalls and intrusion detection systems. They serve both as early warning systems and as sources of valuable attack data, enabling security professionals to study the techniques and behaviors of threat actors.While conventional honeypots have achieved significant success, they remain deterministic in their responses to attacks. This is where adaptive or intelligent honeypots come into play. An adaptive honeypot leverages Machine Learning techniques, such as Reinforcement Learning, to interact with attackers. These systems learn to take actions that can disrupt the normal execution flow of an attack, potentially forcing attackers to alter their techniques. As a result, attackers must find alternative routes or tools to achieve their objectives, ultimately leading to the collection of more attack data.Despite their advantages, traditional honeypots face two main challenges. First, emulation-based honeypots (also known as low- and medium-interaction honeypots) are increasingly susceptible to detection, which undermines their effectiveness in collecting meaningful attack data. Second, real-system-based honeypots (also known as high-interaction honeypots) pose security risks to the hosting organization if not properly isolated and protected. Since adaptive honeypots rely on the same underlying systems, they also inherit these challenges.This thesis investigates whether it is possible to design a honeypot system that mitigates these challenges while still fulfilling its primary objective of collecting attack data. To this end, it proposes a new abstract model for adaptive self-guarded honeypots, designed to balance attack data collection, detection evasion, and security preservation, ensuring that it does not pose a risk to the rest of the network.Jury membersProf. Wim VANHOOF, President, University of NamurProf. Jean-Noël COLIN, Promoter, University of NamurProf. Florentin ROCHET, Internal Member, University of NamurProf. Benoît FRENAY, Internal Member, University of NamurProf. Ramin SADRE, External Member, Catholic University of LeuvenDr. Jérôme FRANCOIS, External Member, University of LuxembourgYou are cordially invited to a drink, which will follow the public defense. For good organization, please give your answer by Tuesday, May 20, 2025. I want to register

Synopsis deep learning methods have become increasingly popular for building intelligent systems. Currently, many deep learning architectures constitute the state of the art in their respective domains, such as image recognition, text generation, speech recognition, etc. The availability of mature libraries and frameworks to develop such systems is also a key factor in this success.This work explores the use of these architectures to build intelligent systems for sign languages. The creation of large sign language data corpora has made it possible to train deep learning architectures from scratch. The contributions presented in this work cover all aspects of the development of an intelligent system based on deep learning. A first contribution is the creation of a database for the Langue des Signes de Belgique Francophone (LSFB). This is derived from an existing corpus and has been adapted to the needs of deep learning methods. The possibility of using crowdsourcing methods to collect more data is also explored.The second contribution is the development or adaptation of architectures for automatic sign language recognition. The use of contrastive methods to learn better representations is explored, and the transferability of these representations to other sign languages is assessed.Finally, the last contribution is the integration of models into software for the general public. This led to a reflection on the challenges of integrating an intelligent module into the software development life cycle.Jury membersProf. Wim VANHOOF, President, University of NamurProf. Benoît FRENAY, Promoter, University of NamurProf. Anthony CLEVE, Co-promoter, University of NamurProf. Laurence MEURANT, Internal Member, University of NamurProf. Lorenzo BARALDI, External Member, University of ModenaProf. Annelies BRAFFORT, External Member, University of Paris-SaclayProf. Joni DAMBRE, External Member, University of GhentYou are cordially invited to a drink, which will follow the public defense. For a good organization, please give your answer by Friday June 6. I want to register

Mission Possible: developing my teaching skills" course (FINT0046) Registrations open for the 24-25 academic year!Training program offered over an entire academic year, Mission possible: develop my pedagogical skills as an assistant/teacher, aimed at assistants or teachers who have been in post for a short time and/or wish to deepen certain pedagogical skills.This training path runs throughout the 2024-2025 academic year.Learner profile: Any teacher wishing to develop his/her pedagogical skillsNewly hired assistantsAssistants wishing to develop their students' motivation during TP/TD sessionsFor UNamur staff: Participation in and completion of activities* related to the set of 8 modules of 3h training grants you 4 credits of doctoral training. *Each module requires preparation on the 'TiceFormations' platform as well as a follow-up assignment to validate the final 4 credits.Each module can be followed up individually(without obtaining credits in this case)NEW MODULE: "How can I make the link between the sustainable development goals and my teaching practices?" Trainings take place in groups of 6 people minimum to 12 people maximum. The PUNCH team reserves the right to cancel a course if the number of participants is insufficient. Discover the route! Sign up

Admission test 2025 (registration 2025-2026)  For the attention of candidates from a country outside the European Union (HUE) who do not reside in BelgiumWhen : Thursday, June 12, 2025. 8.50 am (Belgian time, UTC +2). The test is scheduled from 9am to 1pm. Where : onlineConfirmation of participation : CONFIRMATION OBLIGATORY via secretariat.info@unamur.be. Without this confirmation, the candidate will not have access to the online admission test!Candidates who have passed the test may be invited to an oral interview on Teams (at a date to be defined) to confirm the results obtained.Practical details will be announced shortly.For the attention of VAE candidates and candidates from outside the European Union (HUE) who reside in BelgiumWhen:Thursday, August 21, 2025Where: UNamur, Faculté d'Informatique, Rue Grandgagnage, 21, B - 5000 NamurAccessing the campusLocal: local 202 (Minsky room on the 2nd floor)Campus mapConfirmation of attendance: MANDATORY confirmation via secretariat.info@unamur.beInformation admission test 2024The admission test, which takes place only once a year, is in French and is written. The test will consist of a few questions designed to test the skills required to enter the Master's degree course in Computer Science. The two-year course for a master 60 or three-year course for a master 120 is made up, on the one hand, of the Unités d'Enseignement Supplémentaires au master (one-year bridging course) and, on the other hand, of the master program (master 60 or master 120).You must pass the admission test to continue your registration. If you fail, no registration will be possible.To help you prepare for this test, you will find references below for each skill tested.Skill :Map the operation of a computer from both a hardware and software perspective.References:https://www.pearson.com/en-us/subject-catalog/p/modern-operating-systems/P200000003311/9780137538638https://edutechlearners.com/download/Introduction_to_algorithms-3rd Edition.pdfR. Backhouse, Program Construction: Calculating Implementations from Specifications; John Wiley and Sons, 2003, ISBN 978-0470848821.S.G. Kochan, Programming in C, 3rd edition, Sams Publishing, 2004, ISBN 978-0672326660.Skill:Understanding and exploiting databases: modeling and technologies.Reference:Jean-Luc Hainaut, Bases de données - Concepts, utilisation et développement (Dunod, 2022). The book page is available here.Skills:Raising and using mathematical language in a formal way.Constructing and writing a synthetic and rigorous mathematical demonstration.Reference:https://www.dunod.com/sciences-techniques/methodes-mathematiques-pour-informatique-cours-et-exercices-corriges and in particular

On the program for all The start of the 2024-2025 academic year will take place on September 16, 2024.09:30 | Welcome ceremony at the Vauban amphitheater (Bd Frère Orban - 5000 Namur).11:00 | Back-to-school celebration at Saint-Aubain Cathedral (Place Saint-Aubain - 5000 Namur) then welcome students by the Cercles. Et avant la rentrée ? En plus des cours préparatoires, l'UNamur offre la possibilité aux étudiants primo-arrivants de découvrir leur Faculté ainsi que le campus, et de participer à un forum aux services lors de 2 journées d'intégration.Mettez tous les atouts de votre côté, participez aux cours préparatoires !Les cours préparatoires permettent, pour les futurs étudiants en médecine de préparer le concours d’entrée et pour tous les autres étudiants, de découvrir l’enseignement universitaire en révisant les matières indispensables à votre future formation.Exclusivement destinés aux élèves qui terminent leurs études secondaires (primo-arrivants), ces cours préparatoires, programmés entre la mi-août et début septembre, sont adaptés à chaque programme universitaire.En savoir plus sur les horaires des différentes sessions et s'inscrire aux cours préparatoires...  NOUVEAU ! Pour bien vivre votre rentrée à l'Université, participez aux journées d'intégration !Vendredi 12 septembre après-midi - réservé aux primo-arrivants, gratuit, sur inscriptionVisite de votre Faculté et du campus (intégrée aux cours préparatoires si vous êtes inscrits)Barbecue et soirée Vous devez vous inscrire à ces deux activités, même si vous êtes inscrits aux cours préparatoires ! Le lien d'inscription sera disponible prochainement.Samedi 13 septembre de 10h à 16h - ouvert à tous - gratuit, accès libreForum des services : présentation des services aux étudiants (sport, culture, engagement, cellule sociale, ...), des kots à projets et des activités organisées sur le campus...  MSFE (Master of Specialization in Teacher Training) Tuesday, September 17Welcome session: 6:10pm to 8:30pm, room S06 (RDC), 2 rue Joseph Grafé, Namur. All those interested in the program, in the process of registering or already registered are welcome to attend. The MSFE is a 60-credit program, offered on a staggered schedule, mainly on Tuesdays and Thursdays (in the evening) and Saturdays all day. This master's degree of specialization is aimed in particular at future (or current) instructors at Hautes Écoles and Écoles Supérieures des Arts, in charge of UEs linked to didactics, pedagogy and training to and through practice in the master's programs in teaching sections 1, 2, 3, 4 and 5, who will need to have this diploma within six years of first appointment to a position for which this master's degree is required. It will also be of interest, as part of their professional development, to all teacher trainers in continuing education, whether they carry out their duties within inter-network or network continuing education organizations, or as freelancers.All information on the program Schedule: available at https://horaires.unamur.be, Student/Faculty of Education/MSFE tab Contact : gaelle.chapelle@unamur.be and secretariat.fasef@unamur.be > CAPAES Tuesday, September 17Welcome session: 6:10pm to 8:30pm, local BN01, 2 rue du rempart de la Vierge, Namur. The CAPAES is organized in staggered hours on Tuesdays and Thursdays (in the evening). The CAPAES is intended only for teachers working in a haute-école or in social promotion higher education for whom obtaining a pedagogical title appropriate to higher education is a necessity. All information on the program Schedule: available at https://horaires.unamur.be, Student/Faculty of Education/CAPAES tab Contact : gaelle.chapelle@unamur.be and secretariat.fasef@unamur.be > CAPAES Tuesday, September 17Welcome session: 6:10pm to 8:30pm, local BN01, 2 rue du rempart de la Vierge, Namur. The CAPAES is organized in staggered hours on Tuesdays and Thursdays (in the evening). The CAPAES is intended only for teachers working in a haute-école or in social promotion higher education for whom obtaining a pedagogical title appropriate to higher education is a necessity. All information on the program Schedule: available at https://horaires.unamur.be, Student/Faculty of Education/CAPAES tab Contact : gaelle.chapelle@unamur.be and secretariat.fasef@unamur.be > Masters en Enseignement (sections 4 et 5 15 septembre 2025de 12h40 à 14h, local BN141.  

Contact Secretariat +32 (0)81 72 52 52 secretariat.info@unamur.be Student secretariat Baccalaureate and Master's students in daytime classes isabelle.daelman@unamur.be Students of the Certificate in Data Science, Master in Cybersecurity, Master in Computer Systems Architecture "Masi" in day classes amelie.notaro@unamur.be Students on shift work and BAGI master's students benjamine.lurquin@unamur.be Address Faculty of Computer ScienceRue Grandgagnage, 21B-5000 Namur

As it does every year, the Faculty of Computer Science is organizing a job fair dedicated to digital professions. It's the UNamur IT Jobs Fair 2024, on Tuesday 12/11 at the Arsenal.