Second cycle degree in

Control Systems Engineering

Class: LM-25 - Automation engineering

Logo QS
Class LM-25 - Automation engineering
Duration 2 years
Branch Padova
Language English
Tuition fees and scholarships
Access Open access with admission requirements
Reference structures Department of information engineering, School of engineering

Next Calls for applications (international students) - A.Y. 2021/22:

  • 1st Call: 2 November 2020-2 February 2021
  • 2nd Call: 2 March-2 June 2021(non-EU)/2 September (EU) - APPLY NOW

 

 

A course of very recent institution, delivered entirely in English with the aim of training high level professionals in the field of automatic control and robotics. To characterise this offer, which is aimed at both industrial and information engineering, is its distinctly scientific character, with a solid knowledge base borrowed from physics and mathematics. You will be able to direct your interests along four paths: Robotics, Machine Learning, Industrial Automation, Complex Systems. Thanks to the design skills acquired in the most innovative technological fields and to the use of the most modern tools which you will develop on your own, you will be able to deal with innovation and development of production, advanced design, programming and management of complex systems in manufacturing or services companies and in public administrations

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Characteristics and objectives
This program forms high level professionals in the field of automatic control. They are capable of modeling and designing control systems for industrial applications and have a solid knowledge of the technological processes for which control systems need to be designed. The program is grounded on a rigorous scientific approach. The student is exposed to methodological topics in the fields of mathematics, physics, and information science. He is also trained in the usage of advanced and modern tools for the design of control systems in the most innovative technological fields. The program is designed to form professionals that will be able to:
(i) adapt to the rapid evolution of methods and technology of the information engineering;
(ii) to collaborate with professionals of other fields of engineering (in particular, mechanical, electrical, and process engineering);
(iii) to design, plan, and manage complex and innovative processes and services;
(iv) to work in environments where English (and possibly other languages of the European Union) is the common language.

Occupational opportunities
The occupational opportunities are in research and development, advanced design, plan and management of complex systems, both as free lance professionals and as employees in private and public companies. In particular, occupational opportunities are in electrical and electromechanical engineering companies, chemical companies, aero-spatial companies and, more generally, service providers and managing companies requiring design and development of automatic control systems

  Teaching list

Training

I Year DIGITAL CONTROL [CFU 6] ESTIMATION AND FILTERING [CFU 6] MACHINE LEARNING [CFU 9] SYSTEMS THEORY [CFU 9] CONTROL ENGINEERING LABORATORY [CFU 9] QUANTUM INFORMATION AND COMPUTING [CFU 6] COMPUTER VISION [CFU 6] INDUSTRIAL AUTOMATION [CFU 9] INFORMATION THEORY [CFU 6] MATHEMATICAL METHODS FOR OPTIMIZATION [CFU 9] MATHEMATICAL PHYSICS [CFU 9] CONVEX OPTIMIZATION [CFU 6] ENGLISH LANGUAGE B2 (PRODUCTIVE SKILLS) [CFU 3] ITALIAN LANGUAGE [CFU 3] EMBEDDED REAL-TIME CONTROL [CFU 6] ROBOTICS AND CONTROL 1 [CFU 9] II Year MODELLING AND CONTROL OF ELECTRIC DRIVES [CFU 9] AUTOMOTIVE AND DOMOTICS [CFU 9] SMART GRIDS [CFU 6] DIGITAL SIGNAL PROCESSING [CFU 6] GAME THEORY [CFU 6] INFORMATION SECURITY [CFU 6] NEURAL NETWORKS AND DEEP LEARNING [CFU 6] STOCHASTIC PROCESSES [CFU 6] AUTOMATA, LANGUAGES AND COMPUTATION [CFU 9] BIG DATA COMPUTING [CFU 6] INTELLIGENT ROBOTICS [CFU 9] LEARNING FROM NETWORKS [CFU 6] CONTROL OF BIOLOGICAL SYSTEMS [CFU 6] MEASUREMENT ARCHITECTURES FOR CYBER-PHYSICAL SYSTEMS [CFU 9] RESEARCH TRAINING [CFU 9] INTERNSHIP [CFU 9] INDUSTRIAL ROBOTICS [CFU 9] LEARNING DYNAMICAL SYSTEMS [CFU 9] NETWORK DYNAMICAL SYSTEMS [CFU 6] NONLINEAR SYSTEMS AND CONTROL [CFU 6] REINFORCEMENT LEARNING [CFU 6] ROBOTICS AND CONTROL 2 [CFU 9] ROBOTICS LABORATORY [CFU 6] SYSTEMS BIOLOGY [CFU 6] ADAPTIVE AND MODEL PREDICTIVE CONTROL [CFU 6]