Automation and Intelligent Systems

Core Courses

The programme aims to strengthen students’ foundational skills through teaching units focused on the essential principles of automated systems, electronics, and industrial computing. These subjects provide solid knowledge for tackling the technical challenges of subsequent years. The curriculum includes the following subjects:

  Control of Continuous and Discrete Linear Systems:

Students explore the modelling, analysis, and control of dynamic systems, first in continuous time and then in discrete time. The objective is to design efficient control systems while accounting for dynamic constraints and multivariable interactions.

Signal Processing:

This subject introduces fundamental tools for analysing and transforming digital signals. It lays the groundwork for applications such as monitoring, fault detection, and process control.

 Optimisation Techniques:

Students learn to apply optimisation methods to solve complex technical problems, such as controller tuning or optimal resource planning in automated systems.

 Applied Electronics and Power Electronics:

These courses cover the design of analogue and digital electronic circuits, as well as the conversion and control of electrical energy using power components. 

 Microprocessors, Microcontrollers, and Industrial Programmable Logic Controllers:

These subjects enable students to master hardware architectures and the programming of logic components used in embedded systems and industrial applications.

 Sensors and Industrial Instrumentation:

Students are introduced to the main types of sensors and learn how to integrate measured signals into control or monitoring systems.

 Programming Languages (1 and 2):

Two progressive modules introduce students to imperative and system-oriented programming, as well as the development tools commonly used in industry.

 Technical English and Scientific Communication:

This module develops language skills related to engineering (reading documentation, oral communication, technical writing), which are essential in a globalised professional environment.

 Entrepreneurship and Industrial Internship:

An initial exposure to the professional world through a company internship, complemented by an introduction to the basics of management and business creation, prepares students to leverage their skills in real industrial contexts.

Advanced Topics

The subsequent years of the programme enable students to deepen their knowledge and refine their skills in essential technical subjects, perfectly aligned with the current needs of industry and research. The curriculum is structured over three semesters (S7 to S9), covering a broad range of advanced technological fields.

A programme structured around key competencies

Among the subjects covered are:

 Predictive and adaptive control:

Addressed through units such as Control of Linear Systems in State Space (ASI7.1) and Control of Nonlinear Systems (ASI8.1), this competency enables students to design systems capable of anticipating changes and adapting to uncertainties.

 Intelligent control (fuzzy and neural systems):

The module Deep Learning (ASI9.2) as well as Artificial Intelligence Techniques (ASI8.6) introduce control methods based on artificial intelligence, particularly neural networks and fuzzy systems, to solve complex problems.

 System diagnosis:

Through subjects like Virtual Instrumentation (ASI9.6) and Advanced Signal Processing (ASI7.3), students acquire the tools needed to predict failures and improve the maintenance of industrial systems.

Control of robotic manipulators:

The modules Robot Control (ASI9.4) and Modelling of Robotic Systems (ASI8.4) allow students to explore topics related to robot dynamics, trajectory planning, and human-machine interaction.

Real-time systems:

The courses Discrete Event Systems (ASI7.4) and Real-Time Systems (ASI9.5) train students to design embedded systems capable of meeting strict timing constraints, which are essential in critical environments.

 Literature review and scientific writing:

Through the unit Literature Review and Dissertation Design (ASI9.9), students are introduced to academic research methodology and the writing of technical documents in accordance with scientific standards.

In parallel, the programme includes cross-disciplinary (e.g., Compliance with Standards and Rules of Ethics and Integrity – ASI8.9) and methodological training (e.g., Professional and Personal Project – ASI7.8 or Industrial Internship 2 – ASI8.8) aimed at reinforcing the professionalisation and ethical awareness of future engineers.