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In practice Who are open courses for?Open courses are open to all, although they are primarily aimed at secondary school students to help them take that first step in exploring higher education.What is the schedule for open courses?Courses are open from February 27 to Wednesday, March 5, 2025, from 08:30 to 16:30.To find out the precise timetable and location of each course, please visit the Info études service (Rue de Bruxelles, 85 5000 Namur), 15 minutes before the start of the course.The provisional program is available 15 days before the start of open courses.How to meet a guidance counselorYou have the opportunity to meet a guidance counselor at the guidance workshop scheduled for Tuesday, March 4, 2025, from 1:30 to 4:00 pm.The aim of this workshop is to help you think about the guidance process, gain a better understanding of the higher education landscape and define the main markers in the process of clarifying your project (educational and professional).Our advisor is also available by appointment for a one-to-one meeting throughout the week of open courses and outside of it.Do you have to register to take part?Access to open courses is without prior registration.To participate in the orientation workshop, however, online registration is mandatory and will be available some ten days before the start of the open courses.Who organizes the open courses?Open courses are organized by Info études, the service that provides information on all matters relating to choice of studies, prerequisites, reorientation, gateways, course curricula, job opportunities, additional training, recognition of prior learning... or any general questions about university life in Namur. Find out more about open courses

Save the date! The next UNamur Open House will take place on Saturday, March 29, 2025, from 1pm to 5pm.Save this date in your diary already!!On the programInspiring encounters: chat with our professors, assistants and students.Immersive tours: explore our auditoriums, classrooms and laboratories.Valuable information: get answers to all your questions about our programs and the specifics of studying in Namur.Practical resources: discover all the services available to support you before, during and after your studies.Stay tuned!The detailed afternoon program will be available some ten days before the event.Can't join us? No worries! A second open house is scheduled for Saturday, June 28, 2025, from 1pm to 5pm. Find out more about the open house

Save the date! On Saturday June 28, 2025, from 1pm to 5pm, UNamur once again opens its doors to you before the summer vacations.At the programProfessors, assistants, students and staff members look forward to welcoming you to answer all your questions about your future studies;share with you their experience of university life and its many opportunities for fulfillment;guide you through your final practical steps: registration, preparatory courses, finding accommodation, financial aid and more.Forthcoming informationThe afternoon's detailed program will be available some ten days before the event. Find out more about the open house

A Hackathon is a short event where teams reflect on a particular theme. They attempt to find solutions by developing innovative projects. At the end of the event, a jury determines which projects have caught their attention and thus won the competition. A CSLabs initiative The Computer Science Labs is a junior enterprise that grew out of the Faculty of Computer Science at the University of Namur. In practical terms, its actions revolve around carrying out projects, training members on IT-related topics and organizing events. Read more

Join a community of innovators, explore cutting-edge technologies, and get ready to shape the digital world of tomorrow! Ready to code your success? Welcome to the Faculty of Computer Science at UNamur, a pioneer in university-level computer science education in Europe. 

For Bruno Dumas, computer science fits in with the principles of applied psychology Artificial intelligence (AI) is interfering in our professional as well as our private lives. It both seduces and worries us. On a global scale, it is at the heart of major strategic, societal or economic issues, still being debated in mid-February 2025, at the AI World Summit in Paris. But how can we, as users, avoid being subjected to it? How can we gain access to the necessary transparency of its workings? By placing his research prism on the user's side, Bruno Dumas is something of a "computer psychologist". An expert in human-computer interaction, co-president of the NaDI Institute (Namur Digital Institute), he defends the idea of a reasoned and enlightened use of emerging technologies.

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, Japan

Something for everyone 09:30 | Welcome ceremony for new students11:00 | Back-to-school celebration at Saint-Aubain Cathedral (Place Saint-Aubain - 5000 Namur), followed by student welcome by the Cercles. Read more