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September 14, 2026 What's on the schedule for everyone9:00 a.m. | Welcome at Pedro Arrupe, Rue de Bruxelles 67, 5000 Namur9:30 a.m. | Ceremony at Pedro Arrupe 11:00 a.m. | Back-to-school celebration at Saint-Loup Church—to be confirmed, rue du Collège, 5000 Namur—followed by a welcome for students by the student clubs. Today's Rates September 15For Block 1 (Room I02)* - Welcome Session10:40 a.m.: Introduction by the Dean/Associate Dean (Anthony Cleve - Marie-Ange Remiche)11:10 a.m.: Introduction by the academic advisor (Géraldine Grandjean)11:30 a.m.: Introduction by the Academic Coordinator (Fanny Boraita)11:50 a.m.: Introduction to the Student Services Office (Cédric Aerts)12:10 p.m.: Introduction to CSLabs (Hugo Raskin) For students in the first 60 credits of the bachelor’s program (first-year students only*) – Room I022:00 p.m.: Introductory session for the English courseAttendance at these sessions is mandatory.For UES** students and new Master’s students (Room I30) – Welcome session2:00 p.m.: Introduction by the Dean/Associate Dean (Anthony Cleve – Marie-Ange Remiche)2:30 p.m.: Introduction by the academic advisor (Géraldine Grandjean)2:50 p.m.: Introduction by the Academic Coordinator (Fanny Boraita)3:10 p.m.: Introduction to the Student Services Office (Cédric Aerts)3:30 p.m.: Introduction to CSLabs (Hugo Raskin) September 16 For Block 1 (Room to be determined—check the schedule)*8:30 a.m.: Mathematical Foundations for Computer Science course (M. De Vleeschouwer)Attendance at this session is mandatoryFor all students: Classes begin (see schedule)Information session and PAE setupSeptember 18: Bachelor’s Program, Block 1 (non-first-year students): 1:00–2:00 p.m. – Academic HallSeptember 17: Bachelor’s Program, Blocks 2 and 3: 1:00–2:00 p.m. – Academic HallSeptember 16: MA1 and UES (non-first-year students): 1:00–2:00 p.m. in I30* First-time students: Students enrolled for the first time in a computer science program at UNamur, whether they are coming from high school, a college, another university, or are enrolled in a staggered-schedule program. ** UES: Additional course units for the master’s program (bridge year) Staggered-Schedule Classes Bachelor's and Master's 60Saturday, September 12—Classes BeginFor First-Year Students (Block 1 and UES):9:00 a.m.: Presentations in Room I02 by the Associate Dean, Ms. Marie-Ange REMICHE; the academic advisor, Ms. Géraldine GRANDJEAN; and the IT coordinator, Mr. Cédric AERTS. Lecture Hall I02 (ground floor of the School of Computer Science). Attendance at this session is mandatory. The presentation from the orientation session will be posted on the BVE afterward.10:00 a.m.: Classes begin for all students Specialized Master's Degree in Computer Science and Innovation: Business Analysis and IT Governance For students who need to take prerequisite coursesFriday, September 18, at 9:00 a.m., Seminar Room I22 on the 2nd floor of the Faculty building.For all new studentsClasses begin on Saturday, October 16, in the academic hall on the 4th floor of the School of Computer Science, starting at 8:30 a.m. And before school starts? Give yourself the best possible chance—enroll in preparatory courses!Preparatory courses allow you to get a taste of university-level education by reviewing the subjects essential to your future program of study.Designed exclusively for students graduating in 2026, these preparatory courses—scheduled between mid-August and early September—are tailored to each university program.Learn more about the schedules for the different sessions and register for the preparatory courses...  To make the most of your first semester at the university, be sure to attend the orientation days!The orientation days will take place on September 10 and 11, 2026.On the agenda: a tour of the campus and the city, a student housing fair (KàPs), themed workshops (student rights, digital tools, budgeting, student engagement, sports, and more), a barbecue, and a super-enthusiastic team ready to help you discover life on campus!Thursday, September 10: 7:30 a.m. – Student check-in; 8:30 a.m.–12:40 p.m. - Workshops for students; 12:40 p.m. – Lunch – Barbecue available by registration (€3.60 per sausage sandwich / falafel sandwich) and a bar run by the AGE; 2:00–6:00 p.m. - Project-based student housing fair; 8:30 p.m.–1:00 a.m. – Bunker reserved for first-year studentsFriday, the 11th: 8:30 a.m.–12:30 p.m. - Workshops for students; 12:30 p.m. - Lunch; 2:00 p.m. - Depending on the faculty: organized by the faculty or open to all.Reserved for new students - Information will be sent after registration at UNamur.   

How can anomaly detection on a production line be improved? It was in response to a very concrete problem encountered at the company where he works that Arnaud Bougaham, with the support of his employer, decided to devote his thesis to this topic at the UNamur School of Computer Science. The goal? To develop an artificial intelligence model that assists operators in detecting anomalies on an industrial production line by reducing false alarms and making the diagnosis easier to understand. This approach also holds promise for deployment in the medical field. 

Registration Form Name First name E-mail address Will attend the reception following the defense Yes ( optional ) No ( optional ) Need a parking sticker Yes ( optional ) No ( optional ) Si vignette, numéro de plaque minéralogique ( optional ) Would like a certificate for defense assistance Yes ( optional ) No ( optional ) In order to process your request, you must complete all fields marked "optional". When you submit this form, the completed data will be transmitted to UNamur and used to process your request. Learn more about your data protection and your rights This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Abstract  The design of a content-aware urban traffic management and monitoring system based on a swarm of drones is a challenging problem due to real-time data processing, multi-agent coordination, and decision-making under dynamic conditions. The complexity of this design problem increases with the number of options and the number of cues that traffic controllers must consider when making a decision. The research presented in this thesis addresses this challenge by exploring the potential of swarm intelligence and reinforcement learning-based controllers as design tools for developing adaptive, content-aware decision-making mechanisms for urban traffic management and monitoring using a swarm of drones. The main objective is to design distributed control mechanisms that support the emergence of robust, scalable, and effective autonomous traffic monitoring and management, while proposing and evaluating alternative solutions compared to previous research. In particular, we propose alternative approaches to elements such as the use of predefined correlations between traffic dynamics and driving characteristics, as well as the use of fixed monitoring mechanisms—such as cameras or radar sensors—combined with fixed control strategies.With regard to traffic monitoring, this thesis focuses on the evaluation of swarms of drones for traffic data collection. With regard to traffic management, this thesis focuses on the evaluation of two traffic control methodologies applied to three different urban scenarios. The control methodologies are: the centralized Simultaneous Perturbation Stochastic Approximation (SPSA) and the decentralized Deep Q-Network (DQN). Briefly, in the former method, the agents operating on traffic collectively evaluate the effects of their actions on traffic quality to update their decision-making policy. The latter method requires agents managing traffic to collectively select the best action from among several alternatives based on the estimated quality of those actions.In the centralized SPSA controller, we investigate both single- and multi-agent intersection maps using a cell transition traffic model (CTM) to simulate traffic. The experimental results indicate that the proposed drone-based traffic controller can successfully mitigate traffic jams and coordinate the swarm of drones, despite constraints on individual exploration and limited communications at a single urban intersection. However, in multi-urban intersections, reducing traffic in one direction inevitably creates traffic problems in other parts of the road network due to a lack of coordination among agents managing traffic. The study also highlights the trade-off between adjacent intersections in the traffic pattern, where limiting communication can improve the swarm’s adaptability to changes. The evolved optimization controllers outperform traditional mechanisms—such as fixed traffic timing—in terms of accuracy, speed of convergence, varying vehicle input rates, and variations in the traffic model.In the second scenario, we first evaluate the performance of a centralized SPSA controller under realistic traffic dynamics using the Vissim simulator to simulate road traffic, rather than the CTM model. The aim is to evaluate the controller’s robustness against external disturbances arising from heterogeneous driving behavior. Next, we design and analyze a decentralized DQN controller for a multi-agent intersection map using the Vissim simulator. In this scenario, we extend the investigation to a more complex task in which drones must collectively transfer the collected data between intersections, and each agent selects its timing action based on both its own traffic data and information shared by other agents. The evolved drone-based DQN controllers enable the traffic units to learn about perceptual driving behavior and external disturbances from the Vissim traffic model. The results demonstrate the robustness and scalability of the evolved strategy under various conditions, including different initial conditions and driving behaviors. The swarm of drones also demonstrates adaptability to changes in traffic conditions, although this adaptability depends on the specific nature of the traffic dynamics and the information shared by other agents in the decision-making process.In the final scenario, we investigate multi-intersection traffic control on a simulated real map of the Belgian city of Namur, using a decentralized Deep Q-Network controller for traffic management and a swarm of drones for monitoring. The traffic model incorporates realistic features such as vehicle acceleration and deceleration, lane-changing behavior, and heterogeneous vehicle types. External disturbances, including parking events and pedestrian crossings, are also considered. The results demonstrate that the proposed autonomous traffic management and monitoring system is robust against disturbances and scalable to real urban areas. The study also highlights the effect of using a swarm of drones for data monitoring, compared to the same control strategy employing fixed cameras, in terms of convergence performance.In conclusion, this thesis contributes to the field of intelligent traffic management and monitoring by evaluating the potential of a swarm of drones as an effective tool for designing adaptive and coordinated traffic control and monitoring mechanisms. In the scenario under consideration, the results indicate that drone-based traffic controllers outperform conventional fixed-time traffic control and fixed-camera monitoring systems in terms of robustness, scalability, and adaptability. The findings of this research have implications for developing more resilient and autonomous drone-based traffic management systems capable of making informed collective decisions in complex and dynamic urban environments. Jury Prof. Elio Tuci - University of Namur, BelgiumProf. Laurent Schumacher - University of Namur, BelgiumProf. Marie-Ange Remiche - University of Namur, BelgiumProf. Alexandre Mauroy - University of Namur, BelgiumProf. Seyed Amir Tafrishi - University of Cardiff, UKProf. Ahmad Fakharian - Islamic Azad University, Qazvin, Iran Sign me up

Researchers at UNamur have developed a new method that has uncovered 32 previously undetected bugs in some of the most widely used software libraries for training artificial intelligence models. Originating from a master’s thesis, this research has already led to fixes in several software programs used by millions of developers around the world. 

The "Vulnerabilities and Societies" ("V&S") research center takes an interdisciplinary approach to the relationship between vulnerability(ies) and society(ies). It is the result of the merger of the Droits fondamentaux & Lien social center (formerly Droit et sécurité d'existence) and the Projucit center (Protection juridique des citoyens), which decided to join forces to reflect on the fragilities observed in our societies.

It’s impossible to forget the Faculty of Law once you’ve studied there! The bonds formed between students, professors, and researchers extend far beyond the classroom. This spirit of solidarity and openness is at the heart of the Namur Law School Alumni Association (ADANam), which offers graduates a special space to stay in touch and share their professional journeys.

Namur Legal Lab at your service! You are an SME and are interested in Namur Legal Lab's services: contact us via this form! Name First name ( optional ) Start-up name Phone number ( optional ) E-mail address - Select -IndividualsLegal entity Legal form If legal entity, specify legal form ( optional ) If individual(s), specify number of person(s) ( optional ) Sector of activity How did your start-up hear about the Namur Legal Lab? Brief description of the business project Territory in which the entrepreneurial project is planned to operate Outline of the legal issues you identify in developing the project - Select -YesNo Is the project already in operation/commercialized? If so, for how long? ( optional ) How many people are employed? ( optional ) - None -on a principal basisin addition Are these people busy ( optional ) If not, when will the project be launched? ( optional ) What is the estimated cost of launching the project? ( optional ) - Select -YesNo Have any contractual commitments already been made? If so, which ones? ( optional ) - Select -YesNo Does the entrepreneurial project benefit from subsidies or some form of public support? If yes, specify the form of assistance received ( optional ) - Select -YesNo Has your start-up (or the founders) already consulted a lawyer for this project? Any additional information ( optional ) In order to process your request, you must complete all fields marked "optional". When you submit this form, the completed data will be transmitted to UNamur and used to process your request. Learn more about your data protection and your rights This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Registration form La cérémonie aura lieu le vendredi 28 novembre dès 17h30 à l'auditoire PA01. Les inscriptions seront clôturées le vendredi 7 novembre (dernière limite).Cette diplomation rassemblera les étudiants qui ont réussi en juin et ceux qui ont réussi en septembre. Elle sera suivie d'une réception.Pour toute information complémentaire, veuillez contacter carolyne.heynen@unamur.be.  Nom Prénom Adresse e-mail privée Pas l'adresse "student.unamur" Téléphone Vous participez à la cérémonie Oui ( optional ) Non ( optional ) Vous participez à la réception Oui ( optional ) Non ( optional ) Vous serez accompagné de 1 personne ( optional ) 2 personnes ( optional ) Uniquement pour les étudiants Lorsque vous soumettez ce formulaire, les données complétées sont transmises à l’UNamur et utilisées pour donner suite à votre demande. Pour en savoir plus sur la protection de vos données et sur vos droits This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

This preregistration would result in an adjustment to the PAE without prejudice to the procedure to be followed to validate this eventual registration.