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National School of Engineers of SFAX
Professional Master
Automatic Control and Industrial Computing
Academic Year 2009-2010
Responsible: Mohamed CHTOUROU
Department of Electric- Engineering
mohamed.chtourou@enis.rnu.tn Tel: + 216 74 274 088 (post: 248)
National School of Engineers of SFAX, TUNISIA

Presentation:
Since the university year 1999-2000, the department of electric- engineering of the
National School of Engineering of Sfax (ENIS) has been empowered with a doctoral training
cycle in the discipline of electric engineering “Automatic Computer-Industry”. The first stage
of this doctoral training cycle in the discipline of electric engineering “automatic computer
Industry”. The first stage of this doctoral training cycle has been on the preparation of a
master. When the second phase, it involved the preparation of a doctoral thesis or a university
enabling in electric engineering “Automatic computer industry”. The department of electric
engineering of l’ENIS envisages the continuation of this doctoral training cycle (university
year: 2003-2004 and 2004-2005) with a view to prepare a master in “Automatic Computer
Industry” with the following three options:
“Automatic and Intelligent Systems (ASI)”option.
“Computer Systems and Mechatronics (SIM)” option.
Objectives:
The envisaged master in L’ENIS in electric engineering “Automatic Computer
Industry” aims at giving highly theoretical and practical knowledge in the specialities
“Automatic” and “Computer Industry” by prioritizing the methodological aspects. Lessons
enable the undertaking of training through research in related areas: Modelling, identification,
estimation, prediction and control systems, fuzzy systems, neutral networks, computer
systems, advanced control, industrial production, information processing, microelectronics,
irrigation systems, agricultural greenhouse, irrigation canals, electric machines and networks,
etc.
This training gives the master after three semesters of study. The first semester is
consecrated to lessons: A core syllabus followed by a training cycle per option “Automatic
and Intelligent Systems” option or “Computer Systems and Mechatronics” option or
“Computer Systems and Mechatronics” option or “Control of Electric Machines” option. The
second and the third semesters are reserved for preparing a research dissertation dealing with
an original subject and of topicality and giving rise to a public defence before a jury.
The content of this master is interesting both in training and opening on applied
research. The opinions of several academics from Tunisian and foreign institutions were
unanimous on this point. So, it is interesting to consolidate our strengths namely:
a- The great interest that many academics give to this master.

Audience:
b- The good fit, training and employment offered by the training provided by this
master.
c- The openness in the field of applied research.
d- The selected national scientific research projects (SERST, etc) and the
international ones (CMC4, etc).
e- The important number of research teams in automatic computer systems at
L’ENIS.
f- The important number of scientific events organized by L’ENIS about the
Automatic and Computer industry (Tunisian seminars on automatic “STA”,
international conference on signals systems decision and information technology
“S5D”, science days of young researchers in electric and computer systems
engineering “GEI”, etc.
g- The good relation between the scientific and technological cooperations
established between academics from L’ENIS and those from Tunisian institutions
(ENIG, ENIM, etc) or foreign academics (university Paul Sabatier of Toulouse,
France, University of Toulon and VAR, France…
The “Automatic Computer-Industry” master is aimed at students holding a diploma of
engineer or a four year university degree or equivalent foreign diplomas candidates should
have a good knowledge base in automatic and computer industry.
The selection procedure of candidates is done in two steps:
a- Display a call for applications in various Tunisian and foreign academic
institutions including the institutions of the Maghreb
b- Study candidates’ files and compiling of the list of the selected candidates.
The criteria for selection are the following:
a- Type of candidate training. Priority will be given to the graduates in electric
engineering, computer systems engineering, mechanical engineering, industrial
engineering, process engineering, and applied mathematics.
b- Type of diploma obtained by the candidate.
c- Degree of availability of the candidate to attend all training modules of the master.
Opportunities and prospects:
The master “Automatic Computer industry” sanctions the first stage of doctoral
training (training by research during three semesters) and allows entry to doctoral thesis of

Tunisian and foreign higher education institutions, and more particularly to the thesis Ph.D in
electric engineering “automatic computer industry” at L’ENIS. Those who have followed this
doctoral training cycle interest national sectors with high growth potential such as: Automatic
control, conduct computerized processes (chemical, biological, thermal, electric, mechanic,
etc), control of electrical machines, and optimum management of the climate of greenhouses.
In this respect, the scientific level as well as the acquired experience in research of the
graduates in “Automatic computer Industry” master enables to consider job types for engineer
in research and development in diverse industrial sectors.
Teaching Program:
Core syllabus (120h)
“Automatic and Intelligent systems” option (120h)
“Computer systems and mechatronics” option (120h)
Education Plan:
The proposed training program of electric engineering master “Automatic Computer
industry” is composed of a core syllabus (120h) and two options (120h each) with theoretical,
metho ’ological and applied aspects. In this training of master, the adopted pedagogy is:
lectures, tutorials, work practices and site visits. These lessons which take place over a whole
semester are penalized by written and oral exams.
Hours
Module
Core Syllabus: Part1: Systems Analysis and Architecture (120h)
20 Identification systems
20 Nonlinear and non-stationary systems
20 Neural Networks and Learning
20 Fuzzy systems and Decision support
20 Optimization and Genetic Algorithms
20 Technical Machinery control
“Automatic and Intelligent Systems” option
Part2: “Automatic Complex Systems” (60h)
20 Stochastic Systems
20 Delayed Systems and Multivariable Systems
20 Stability systems
Part3: “ Advanced control” (60h)
20 Optimal and Robust control

20 Predictive and adaptive control
20 Intelligent Control
“Computer Systems and Mechatronics” option
Part2: “Computer Systems” (60h)
20 Intelligent Automatic Classification
20 Real time and Multitasking Kernel
20 Man-machine systems and supervision
Part3: “Mechatronic Systems” (60h)
20 Industrial vision and Robotics
20 Design of Embedded Systems
20 Mecatronic Systems