The SAR training aims to train specialists in the design, modelling, analysis, optimisation and control of complex robotic systems. It covers the wide range of research and development needs related to advanced "mechatronic" systems in sectors ranging from the mechanical and mechatronic production industry to the land and air transport industry, as well as the health technology sectors.

The MIAGE IA2 course trains computer scientists capable of implementing in a very concrete way the various techniques resulting from artificial intelligence (AI).
At the end of this training, they will be able to :

• decide if a problem is related to an AI technique,
• know the limits and constraints associated with each AI technique,
• develop an AI application using existing libraries or cloud services.

Artificial Intelligence Internals (168 heures) Montée en compétences techniques en IA : Gestion des masses des données et apprentissage automatique  (Data Integration and Exploration, Big Data Processing, Optimization topics  for AI, Machine Learning and Data Analytics, Sequential Decision Making in AI,  AI certification, robustness and dependability).

A natural evolution of the projects carried out in recent years by data science and big data, what is most often referred to as artificial intelligence goes further both in terms of technological requirements and in the broad spectrum of scientific fields concerned: robotics, human-machine interaction, language processing, etc.

The IAAA course introduces the most recent advances in artificial intelligence and trains students to exploit the associated methods and techniques in innovative applications. The themes covered are machine learning, deep learning, automatic natural language processing, modelling and solving problems based on constraints, and knowledge representation and processing. These topics are particularly relevant to data science and fundamental computer science.

The objectives of this training are to :

- To train experts in human-centred AI (HAI), capable of taking responsibility for an activity requiring motion capture, artificial learning and gesture-based interaction.

- To train project managers capable of designing, building and operating interactive systems or intelligent workspaces by enhancing the sensory-motor and cognitive capabilities of the user through a comprehensive knowledge of the business sector and the technology watch.

- Promote interdisciplinary engagement in AI.

The 2nd year courses of the IARF speciality are common to those of the engineering course of the Master's degree in Real Time Systems Engineering Robotiquet and of the EEA (Electronics, Electrical Engineering, Automation) mention.

Постдипломските студии по пресметување во облак се стремат кон врвно европско образование и обучување, кои по завршувањето на студиите ќе можат да испорачуваат скалабилни и еластични инфраструктури, платформи и софтвери, кои се висококвалитетни и доверливи и кои ги задоволуваат потребите на локалната индустрија.

Containerization technologies and orchestration solutions like Kubernetes are the cornerstones of building efficient microservice-based scalable and reliable applications. This course deals with the nature, design, and development of container-based systems and cloud-native services. The knowledge acquired in the course is hardened through practical tasks.

The goals of the course are to:

Computational Engineering is a full-time, second-level degree program with a practical profile, launched by ICM University of Warsaw in the winter semester 2016/2017. The course is addressed primarily to graduates of engineering or master’s studies. The program consists of the application of scientific computing, including using large-scale systems, to solve advanced scientific and technical problems. The alumni of computational engineering find employment in various IT companies, including HPC centers.

The aim of the Master's degree in Computer Engineering is to train engineers who, having acquired a high level of scientific and specific technical knowledge in the field of informatics, are capable of designing new IT systems and tools, developing and integrating IT systems, carrying out and coordinating research and development tasks in the field of informatics, and continuing their studies in the framework of a PhD.

The aim of the Master of Engineering in Computer Science is twofold. On the one hand, to train computer engineers who
capable of developing IT systems, IT applications (software) and IT
services, and on the other hand, have the skills to develop, design, implement and monitor
the theoretical knowledge required to complete a doctorate in computer science
schools to obtain a PhD degree.

The new master course of Information Technology is one of the most important programmes at our Faculty. It aims to provide engineers from technical disciplines relevant to information technology sciences with the skills to pursue a career in computer and information engineering. The programme involves a deep understanding of the theory and practice of information, the study of information acquisition, systems and technical methodologies and their applications in engineering. The main areas of study include developments in intelligent systems and multiprocessor technology. 

The aim of the course is to train computer engineers who, after having acquired a high level of scientific and specific technical knowledge related to the field of informatics, are able to design new IT systems and tools, develop and integrate IT systems, and carry out and coordinate R&D tasks in the field of IT. They are prepared to continue their studies at doctoral level.

The aim of the course is to train engineers who, having acquired a high level of scientific and specific technical knowledge in the field of informatics, are capable of designing new IT systems and tools, developing and integrating IT systems, carrying out and coordinating R&D tasks in the field of informatics, and continuing their studies in the framework of a PhD.

The second-year Computer Science for Networks (CSN) Master’s program enables students to understand, analyze and improve communication networks, as well as develop and define software for next-generation networks. It provides techniques and tools to tackle current questions through the in-depth study of computer science and complex networks. Students will also learn to master recent approaches based on advanced software engineering.

The aim of the program is to train IT professionals who, based on the theoretical foundations that
ensure the development of their knowledge in the long run, are able to perform the development,
creation, application, implementation, operation and servicing of IT systems independently and in
teamwork. They also have the cooperation and modeling skills needed to solve the IT tasks of their
field of application, they are able to perform and coordinate research projects related to IT. They are
prepared to continue their studies at PhD level. 

The aim of the training is to train IT professionals who:
* have a solid theoretical foundation in IT
*are able to develop, apply and operate complex systems, both independently and in teams, to a high standard
*have the necessary collaborative and modelling skills to solve IT problems in their area of application
*capable of carrying out IT-related research tasks
*capable of pursuing studies towards a doctorate (PhD).
The full-time programme offers a choice of three specialisations:
Computer modelling,
image processing,
software development.

The aim of the training is to train IT professionals who will ensure the long-term development of their knowledge
on the basis of theoretical foundations, to develop, create, apply, implement, operate and service IT systems, both independently and in teams, at a high level
in a team and in groups. They are also able to
the collaborative and modelling skills necessary to perform the IT-related research and development activities in their field of application.
perform and coordinate IT-related tasks. They are prepared to carry out their studies in a doctoral programme

The aim is to train engineers who, having acquired a high level of scientific and specific technical knowledge in the field of informatics, are capable of designing new IT systems and tools, developing and integrating IT systems, carrying out and coordinating R&D tasks in the field of informatics, and pursuing their studies in the framework of a PhD.