Information and computer systems engineering

Catalogue of disciplines

Overview

Intelligent Structured Information = Competence (IISC) born in the 1990s, when information technologies became relevant in the labor market. Professor Adrian Traian Murgan, then director of the EAII department, realized the importance and necessity for an advanced studies program. Together with a group of teachers IISC, one of the few master's programs at that time, was started and which has been running continuously, with the last few years recording a competitive admissions. From the outset, the program's central idea was to acquire competences in a wide range of disciplines relevant to the processing (information engineering) and the implementation of these concepts in innovative applications on computational platforms (computing systems) tailored to the specific application. Many IISC graduates have gone on to doctoral programs and are currently among the active teaching staff at the this master. The objectives of this Master program are more topical than ever ever in the context of the challenges and requirements of applications in data science and IT.

IISC has a diverse, coherent and up-to-date educational offer. The current list of disciplines includes: Advanced Technologies in Programming, Modeling and Computer simulation, Parallel and Distributed Systems, Computational Systems computational systems, Neuroinformatics, Advanced digital signal processing, Database Databases in scientific applications, Complex interconnection networks, Systems image processing software systems, Data mining, Advanced image processing, Advanced data digital signals, Management of electronic activities (e-activities), Information transmission in wireless networks, Technologies & multimedia equipment, Statistical models and methods in information engineering.

Who is it for?

IISC provides a wide range of subjects, taught by teachers committed and competent teachers. The main objective is to offer you first and foremost an insight into the latest and most interesting issues in the field, and by exploring topics of interest within the specific framework of scientific research gain competences and develop your skills as a research scientist. These are relevant in many areas of the job market but also for to be able to successfully pursue a doctoral program. The development of the is designed in such a way as to allow, on the one hand, to your requirements (bearing in mind that most master's students work full time) and, on the other hand, a thorough grasp of the concepts specialized knowledge, by giving more weight in the evaluation to projects and homework of an applied nature.

Objectives of the Master's programme:

IISC provides a wide range of subjects, taught by teachers committed and competent teachers. The main objective is to offer you first and foremost an insight into the latest and most interesting issues in the field, and by exploring topics of interest within the specific framework of scientific research gain competences and develop your skills as a research scientist. These are relevant in many areas of the job market but also for to be able to successfully pursue a doctoral program. The development of the is designed in such a way as to allow, on the one hand, to your requirements (bearing in mind that most master's students work full time) and, on the other hand, a thorough grasp of the concepts specialized knowledge, by giving more weight in the evaluation to projects and homework of an applied nature.

Specialist skills offered to graduates

Research skills: the ability to identify and specify the objectives of the research topic, current topics of interest and relevant literature and then to construct and implement alternative scenarios to achieve objectives. Through mentoring in research and specialized disciplines skills are developed in reporting relevant results, presenting and their publication.

Subject-specific skills: In particular through through homework and applied work, develop the ability to identify topics from the subject area which are relevant to the student's professional interests, are identified specific working methods and tools so that
via experiments to deepen the specific problems of the discipline and to obtain relevant applied results in terms of novelty and novelty innovative.

Examples of research directions addressed

Development and optimization of innovative intelligence algorithms artificial intelligence, data science, signal processing, imaging - including satellite, etc. with integration into diverse computational platforms for efficiently solving a wide range of applications.

Development of innovative solutions for information systems such as "with associated databases to solve complex problems through the integration of algorithms/methods from the disciplines of the master's program (e-learning platforms, platforms for electronic management activities, virtual teaching laboratories, telemedicine, etc.).

Innovative solutions and applications in IoT (Internet of Things), smart sensors, smart homes, etc. with integration into resource-constrained computing platforms (embedded systems) variety of innovative algorithms in domains such as: intelligence artificial intelligence, imaging, databases, wireless local area networks, wireless local area networks signal processing and others, covered by the disciplines of the master program.

Development and integration of innovative algorithms for imaging data mining and other satellite informatics problems (many being part of the research projects of the research center http://ceospacetech.pub.ro/ ).