Automation

Program Overview

Our Bachelor's program in Automatic provides a comprehensive education focused on the analysis, modeling, and control of dynamic systems. The program combines strong theoretical foundations with practical applications to prepare students for modern industrial and technological challenges.

Students develop skills in control systems, automation technologies, industrial processes, instrumentation, and embedded systems. Through laboratory work, simulation tools, and real-world projects, graduates acquire the competencies required to design, analyze, and implement automated systems in various engineering sectors.

The curriculum is aligned with international standards and includes both scientific fundamentals and specialized courses. Graduates can pursue careers in industry, research, or continue their studies in Master's programs.

Teaching Language : English

Curriculum Highlights

Core Courses

Admission to the Bachelor's program in Automatic is open to holders of a Baccalaureate diploma in Mathematics, Experimental Sciences, or Electrical Engineering streams. Applications are reviewed to ensure adequate scientific background.

Advanced Topics

As students’ progress through the program, they delve into more specialized and advanced subjects essential to the field of Automatic. These includ:

Linear Continuous-Time Control Systems
Automated Systems Architecture
Power Electronics
Modeling and identification of systems
Microprocessors and Microcontrollers
Sampled-Data Control Systems
Actuators
Sensors and measurement chains
Programmable logic controllers
Communication Buses and Industrial Networks
C++ programming
Signal theory
Combinatorial logic and sequential

These advanced modules are supported by hands-on laboratory work and technical projects, allowing students to apply theoretical knowledge to real-world scenarios and prepare for careers in the automatic industry or postgraduate studies.

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Admissions Information

Foundations in Electronics and Signal theory
Core courses provide strong grounding in analog/digital electronics, objectives of signal processing and basic functions in signal processing.
Control Systems Engineering
This area represents the core of the specialization. Students learn: Modeling of dynamic systems, Time-domain and frequency-domain representations, Stability analysis techniques, Controller design (PID, lead-lag compensators), and Linear and nonlinear control systems.

The objective is to train students to design reliable and high-performance automatic control systems.

Automation and Industrial Systems
Students explore modern industrial automation technologies, including: Architecture of automated systems, Programmable Logic Controllers (PLCs), Industrial programming techniques and Supervisory Control and Data Acquisition.

This training prepares students for real industrial environments.

Programming
Emphasis on programming skills (C/C++, Python)
Instrumentation and Industrial Measurement
This module develops skills related to data acquisition and measurement systems: Sensors and transducers, Measurement chains, Signal conditioning techniques, Data acquisition systems.

Students learn how to measure, process, and interpret physical variables in automated systems.

Hands-On Labs and Projects
Each semester includes practical labs and team projects using modern tools and simulation software.
Simulation and Engineering Software Tools
Students develop skills using professional software tools such as: System modeling using MATLAB/Simulink, Simulation of dynamic systems, Computer-aided control system design, Performance analysis and optimization.

These competencies are essential in modern engineering practice.

Professional Internships and Industry Collaboration
Students undertake internships and benefit from partnerships with industrial companies and research centers.

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