Se former
Several training courses at ULiège dedicated to artificial intelligence and fueled by cutting-edge scientific research allow many students to train in this field. Here you will find the study programs.
Introduction to artificial intelligence
The course aims at giving an introduction and an overview of artificial intelligence. Lectures will be based on several chapters of the textbook "Artificial Intelligence: A modern approach" (S. Russel and P. Norvig) used worldwide since 1995 for teaching essentials of AI. Some recent developments not included in this textbook will also by covered.
Advanced Machine learning
The goal of this course is to prepare students for the study of state-of-the-art research in the field of machine learning. The class will be organized as a journal club, with reading and presentation assignments of recent machine learning research papers.
Deep learning
This course is a deep dive into the details of deep learning architectures, with a focus on learning end-to-end models for these tasks.
Introduction to machine learning
The course introduces the different types of learning problems, the underlying principles and the main classes of complementary methods.
Introduction to artificial intelligence for psychologists
The main topics covered are the history of AI, networks and the modeling of intellectual plasticity, the theoretical framework of neural networks, the challenges posed to connectionist approaches and their correspondents in the organization of the mind, deep networks, the representation of shapes and their pairing, artificial life.
Policy issues around digital communication and artificial intelligence
The main topics covered are the ages of electronic and digital communication, mainly in Europe facing international competition, technological developments and the strategic industries of the communication society.
Introduction to intelligent robotics
The main topics covered are kinematics in robotics, control and planning methods, sensor interpretation, simultaneous mapping and localization, and applications for mobile robots.
European law, (big) data and artificial intelligence applications seminar
This course shows how the European Union is reacting to the rise of technologies using artificial intelligence and big data. In addition, the course will allow registered students to focus on a research topic related to artificial intelligence.
Methodology : the application of law, documentary research and artificial intelligence
The purpose of the course is to study the reasoned steps that must be taken to bring to light the legal rules likely to apply and to determine the consequences that the law attaches to facts or to behaviors carried out or projected.
Law course in English, Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
This course focuses on legal issues related to the regulation of artificial intelligence (AI), a question of keen importance with technological development and the medium-term commercialization of services, the most emblematic of which is the driverless autonomous car, developed by Google.
