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Directeur du laboratoire :Pr  BERBOUCHA Ahmed

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Directeur du laboratoire :Pr AISSANI Djamil
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Tél. :(213) 34 21 08 00 / Fax: (213) 34 21 51 88
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Directeur du laboratoire :Pr GHERBI Abdelhakim
E-mail :
Tél. : 034 22 49 44 /Fax:034 21 59 86
Localisation du laboratoire:  2ème étage du bloc de recherche et 1ere étage bloc                                                   des enseignents

Département Mathématiques

Chef de département:Mr AISSAOUI Said
Courriel :
Tél : 034 21 59 86

Département Informatique

Chef de département: Mr AMROUNE Kamel

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Tél : 034 21 59 86

Département Recherche Opérationnelle

Chef de département: Mr KABYL Kamel

Courriel :
Tél : 034 21 59 86

Département Chimie

Chef de département: Mr HANNACHE Zahir

Courriel :

Tél : 034 21 59 86

Département Physique

Chef de département : Mr CHELOUCHE Azzedine 

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Fundamental Chemistry

In recent years, chemistry has undergone considerable development, in particular thanks to the emergence of new materials that may have applications in various fields of science, both fundamental and applied. The objective of the training is to offer a quality training in fundamental chemistry. Theoretical aspects (structure-property relationship) and practical aspects (design, implementation of materials, characterizations) are addressed throughout the course. of the curriculum in an inseparable way. Training of graduates capable of providing solutions to the various problems encountered in the field of fundamental or applied research.

At the end of his training, the student will have the knowledge necessary to prepare a Master's degree in any specialty of chemistry.

This formation allows the acquisition of knowledge and abilities through the understanding of fundamental and practical knowledge of the main fields of physics: mechanics, optics, electromagnetism, electronics, thermodynamics, quantum physics, statistical physics...

The objective of this training is to form specialists in the field of computer science, more particularly in computer systems. The content of this license encompasses the essential subjects to make a student capable of designing and piloting a computer project, whether in databases, web applications or new mobile applications.

The license in Information Systems is a general training in the field of computer science that aims to acquire a solid foundation in computer science. It provides high-level teaching in computer science and focuses on the design, modeling, and development of software tools and information systems in general. This course prepares students for other high-level training cycles (Masters) and further studies in various fields such as advanced information systems, software development, data science, etc. The courses offered also allow students to broaden their perception of the discipline for a better possible background in the specialties that will be open to them. In addition, this training concludes with an end-of-study project that will be carried out in a professional environment (company or other) or in a research laboratory.

The license in networks and security is a training oriented towards the field of networks and computer security. This training aims to acquire a solid foundation in this area. It provides high-level teaching in computer science and focuses on modeling, deployment and administration of networks, risks, threats and computer security solutions. This course prepares students for other high-level training courses (specialized Masters) and further studies in various fields such as computer networks, computer security, cybercrime, etc. The courses offered also allow students to broaden their perception of the discipline for a better possible background in the specialties that will be open to them. In addition, this training concludes with an end-of-study project that will be carried out in a professional environment or in a research laboratory.

The objective of the proposed course is to train young graduates capable of applying mathematical techniques and using decision support tools in order to model and solve problems from various fields, and this by means of effective methods, guaranteeing the quality and reliability of the results.

This is a 3 year program with a major in pure mathematics.

After completion students can access any master program in mathematics.

This is a professional licence in the rich domain of statistics and data analysis.

The program is a mix of mathematical and computer sciences courses.

After completion students can go for a career in insurance companies, banks and other sectors related to data analysis.

They can also continue in any master program related to probability and statistics.

In recent years, new organic, inorganic and composite materials have emerged and undergone considerable and increasing development. In addition, the appearance of materials with specific properties called "smart compounds", have allowed their use in innumerable applications as well as fundamental, technical scientific or domestic.

The objective of the course is to make students understand, at the end of their studies, the significance of materials, traditional or new, which surround us everywhere.

At work, at home.  They have become indispensable, especially because of their highly competitive and efficient properties.

The student, at the end of his course, must know what a material is. He must know the specific property of a given material. He must know how to develop a material for a given application and use.

A graduate in materials chemistry should be able to provide solutions to the various problems encountered in the field of fundamental or applied materials research.

The objective of this program is to train scientists who master the most advanced analytical and control techniques in the fields of chemistry and physical chemistry in order to improve the quality of products according to established standards (iso standards) and the yield of industrial productions.

The objective of the Master I (First year) is to give the fundamental bases in chemistry, physical chemistry, organic chemistry and analytical techniques to the students so that they can approach a more specific training in Master II (Second year), either in Academic or Professional Master. Indeed, the training concerns various sectors such as health, food processing, parachemistry, petrochemistry, chemical industry, water treatment...

The "Software Engineering" curriculum aims to provide students with the in-depth skills required to be able to work in all phases of software production from design and specification, software architectures and components, HMI, software validation, and software engineering workshops up to Web technologies. Project management is also covered to master large IT projects. At the end of the training, students should be able to hold positions as project managers, designers, and developers.

The "Artificial Intelligence" master's degree provides an in-depth knowledge of algorithms, methods, and techniques in the field of artificial intelligence. It trains computer scientists capable of i) understanding and developing intelligent systems in a wide variety of contexts  by modeling, analyzing, designing, and implementing computing solutions to increasingly complex problems using advanced representation and information processing methods. ii) build artificial systems where intelligence is distributed among many agents, which adapt to a changing environment in time and space, involving perception, analysis, reasoning, and decision-making modules. iii) integrate learning and data mining technologies in IoT and big data environments.

The aim of this training program is to train competent computer scientists who can conduct research, monitor technological developments, and track the advancement of technology in the disciplines of networks and computer security.

This Master's degree offers in-depth training in areas related to information systems. It offers a study of new technologies used in the development of IS and advanced knowledge of the functioning of organizations and project management methods in the digital age. This training also aims to train future researchers with theoretical skills in the field of computer science research, which will enable them to work as consultants or as innovative managers in companies and organizations or to apply for a doctorate in Computer Science, particularly in data science and information systems.

The Master ORNC program proposes to be initiated to research and to acquire strong practical and theoretical knowledge in the networks communication. It focuses on the topics of:

- Networks communication:  provide expertise in the concepts relating to networks (Definitions, classification,  protocols, data communication, Quality of Service (QoS), security,  Internet-of-Things (IoT), optimization problems, etc).

The objective of the course is to provide the student a solid base of decision-making tools based on the techniques of operational research (mathematical modelling, optimisation algorithms, ....) as well as some computer tools essential for fast and efficient data processing and the implementation of algorithms. It enables the student to develop the ability to carry out, on a scientific basis, the study of decision-making problems within organisations (stock management, production planning, transport, industrial maintenance, company management, resource allocation, personnel management...).

The Master's in Data Science and Decision Making  is one of the specialties of Applied Mathematics, designed specifically with the aim of training graduates able to extracting and processing information, as well as giving directives for the  decision.

Operational research consists in applying scientific methods to solve complex problems encountered in the business and management of large systems of people, machinery and resources in industry, commerce and administration. The development of logistic and telecommunication networks creates specific and complex problems due to routing, congestion, location, coverage, etc... Our Master proposes to study and provide mathematical modelling of these problems, to provide suitable resolution methods and to evaluate their performances.

The aim of this master’s degree is to train managers and engineers capable of applying and developing operational research methods and tools in the following areas:

1. Optimization and evaluation of network performances (telecommunications, informatics, sensor networks, transport and logistics).
2. Reliability of networks.
3. Problems of intercellular transfer.
4. Network traffic control, etc.

The program of this master aims at :

- Good knowledge of process modeling, concepts, algorithms and software for optimization and decision support.

- Ability to develop a research problem and to design solutions.

- Ability to insert decision support methods and tools within organizations.

 The program focuses on pure and applied aspects of mathematical analysis.

The master focuses on pure and applied aspects of probability and statistics.

After completion students can go for a career in sectors related to data analysis.