INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE Degree Programme Profile
Basic Information
Qualification awarded
Master Degree in INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Qualification Type/Level
EHEA Second cycle, EQF level 7
Number of Years/credits
2 years; 120 ECTS
Mode of Study
Full-Time/Part-Time*
*All Degree Programmes are planned and organised for full-time students. It is possible, however (without special arrangements), to proceed through the course of study at one's own pace. This makes it possible, if necessary, to accommodate employment or other non-university activities or obligations.
Name of the Course Director and other contact information
President of the Degree Course Council:
Prof. LORENZO POLLINI
Email lorenzo.pollini@unipi.it
Department of DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
Internationalization Coordinator (CAI):
Prof. Maria Greco
Email maria.greco@iet.unipi.it
Language of Teaching
Italian
Admission Requirements
Formal Requirements
Italian First cycle qualification (Laurea) or foreign equivalent in the same or related subject area, with possible extra work if required competences are lacking.
Possible assessment prior knowledge and competences
Mandatory entrance exam for orientation purposes (non-selective).
Required knowledge and competences support programmes
Students whose curricula show lacuna may need to take extra first cycle course units before admission.
General Information
Programme Profile
The Master Degree in Robotics and Automation Engineering has the objective of providing the graduates with professional skills to design, develop, implement and supervise automation systems for industrial processes and to design, control and operate with industrial robotic systems and mobile robots.
The Master's graduate in Robotics and Automation Engineering is characterized by interdisciplinary competences: this peculiarity is relevant for managing complex systems resulting from the interactions of different technologies, typical of the modern dynamics of the system-engineering job market.
Key Learning Outcomes
The Master's graduates in Robotics and Automation Engineering are expected to:
- extract and identify formal models from industrial processes and robotic systems for developing control laws;
- provide high-level competences for the selection of optimal technologies in the field of control systems and robotics;
- design, manage and implement real-time data acquisition and control laws typical of computer-based automation systems;
- operate in research and development centers for automation and be able to actively contribute to technological innovation;
- be able to design techniques for the analysis and control of discrete event systems and of multivariable and nonlinear control systems, with applications to process and robot control, path planning and multi-agent systems;
- extract mathematical and algorithmic tools for solving complex and interdisciplinary problems in technologically advanced plants and systems.
Occupational Profile/s of Graduates
The Master's graduates in Robotics and Automation Engineering find a variety of career fields related to automation engineering such as:
-industry producing automatic machines, robotic systems, mechatronic systems, manufacturing systems;
- process control;
- transportation systems and motion control,
- automotive and domotics.
Access to further study
The Laurea Magistrale degree in ROBOTICS AND AUTOMATION ENGINEERING allows the graduate to compete for entry into a Third Cycle programme/doctoral school.
Assessment methods, examination regulations, and grading
Assessment is normally by means of an oral or written examination; in some cases there are intermediate exams during the course; other elements (participation in discussion, written or oral reports, commentary of texts etc. ) are foreseen in specific course units and are described in the Course Unit Profiles.
The grading system for the course units consists of 30 possible points, plus 'lode' (cum laude) in case of excellence. Marks are given by the lecturer based on the performance as ascertained in a public examination by a board of at least two teachers. The main exam sessions are held in June/July; September; and January; students may resit exams**.
Actual grading curves differ in different degree programmes. The University of Pisa provides an ECTS Grading Table, which shows the actual distribution, of the examination and final grades among students for each degree programme, in order to facilitate the comparison with other grading systems. ---> Link to ECTS Grading Table
An overall mark is given on the occasion of the 'Final Exam', when a written research text is presented and discussed. The final overall mark is calculated based on the results of the marks obtained in the single course units and the final exam, and is based on 110 possible points, with the possible further mention of honours ("lode" or cum laude).
**The exam sessions are organised into sessions (the dates vary according to the Department and are published in the Department's academic calendar). In each session there are a certain number of 'appelli' [calls], or dates on which the examination for each course unit may be taken. The 'appelli' are fixed by the teacher. The students choose which of the appelli they wish to respond to. In most cases, it is obligatory to sign up before the specified date.
Requirements (regulations) to obtain the qualification
Mandatory courses:
Probability and stochastic processes (6 ECTS);
Systems and Control Theory (12 ECTS);
Robot Mechanics (6 ECTS);
Process Control (12 ECTS);
Control and Identification of Uncertain Systems (12 ECTS)
Robotics (12 ECTS)
Navigation and Guidance Systems (6 ECTS)
Elective:
At least 12 ECTS among the following courses:
Electronic Systems for Automation (6 ECTS)
Real-Time Systems (6 ECTS)
Thermo-fluid dynamics (6 ECTS)
At least 12 ECTS among the following courses
Digital Control (6 ECTS);
Electromechanics Laboratory (6 ECTS);
Underwater Systems (6 ECTS)
Vehicle Dynamics (6 ECTS)
Modeling and Simulation of discrete production processes (6 ECTS)
Courses up to 12 ECTS are proposed by the student
The final thesis concur with 18 ECTS