Information and computer systems engineering
Radu Dogaru
Coordinator
Overview
Intelligent Structured Information = Competence (IISC)
The IISC Master's degree was born in the 1990s, as information technologies became relevant in the labour market. Professor Adrian Traian Murgan, then director of the EAII department, saw the importance and the need for an advanced degree programme. Together with a group of enthusiastic teachers, he started IISC, one of the few master's programmes at that time, which ran continuously, with competition for admission in the last years. From the outset, the programme's central idea was to acquire skills in a wide range of disciplines relevant to information processing (information engineering) and to implement these concepts in the form of innovative applications on computational platforms (computing systems) tailored to the specific application. Many IISC graduates have gone on to pursue doctoral programmes and are currently among the active teaching staff in this Master's programme. The objectives of this Master's programme are more relevant than ever in the context of the challenges and requirements of data science and IT applications.
IISC has a diverse, coherent and up-to-date educational offer. The current list of subjects includes: Advanced Technologies in Programming, Modelling and Simulation, Parallel and Distributed Systems, Naturally Inspired Computing Systems, Neuroinformatics, Advanced Digital Signal Processing, Databases in Scientific Applications, Complex Interconnection Networks, Image Processing Software Systems, Data Mining, Advanced Digital Signal Processing, Management of e-Activities, Information Transmission in Wireless Networks, Multimedia Technologies & Equipment, Models and Statistical Methods in Information Engineering.
Who is it for?
IISC provides a wide range of subjects, taught by committed and competent teachers. The main objective is to provide you with an insight into the latest and most interesting issues in the field, and to develop your skills and abilities as a scientific researcher by deepening your knowledge of topics of interest in the specific framework of scientific research. These are relevant in many fields on the labour market but also for successfully pursuing a PhD programme afterwards. The course is designed in such a way as to allow, on the one hand, adaptation to your requirements (bearing in mind that most Masters students work full-time) and, on the other hand, a thorough grasp of specialist concepts, by giving greater weight in the evaluation of projects and homework of an applied nature.
Objectives of the Master's programme:
IISC provides a wide range of subjects, taught by committed and competent teachers. The main objective is to provide you with an insight into the latest and most interesting issues in the field, and to develop your skills and abilities as a scientific researcher by deepening your knowledge of topics of interest in the specific framework of scientific research. These are relevant in many fields on the labour market but also for successfully pursuing a PhD programme afterwards. The course is designed in such a way as to allow, on the one hand, adaptation to your requirements (bearing in mind that most Masters students work full-time) and, on the other hand, a thorough grasp of specialist concepts, by giving greater weight in the evaluation of 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, the topics of current interest and the relevant literature and then to construct and implement alternative scenarios to achieve the objectives. Through mentoring in research and specialist disciplines, skills are developed in reporting relevant findings, presenting and publishing them.
Subject-specific competences: In particular, through homework assignments and applied work, the ability to identify from the subject matter topics that are relevant to the professional interests of the master's student is developed, specific working methods and tools are identified so that
through experiments to deepen the specific problems of the discipline and to obtain relevant applied results in terms of novelty and innovation.
Examples of research directions addressed
Development and optimisation of innovative algorithms for artificial intelligence, data science, signal processing, imaging - including satellite imaging, etc. with integration into various computational platforms, to efficiently solve a wide range of applications.
Development of innovative solutions for "portal" information systems with associated databases to solve complex problems by integrating algorithms/methods from the master's disciplines (e-learning platforms, platforms for electronic management of activities, virtual teaching laboratories, telemedicine, etc.).
Innovative solutions and applications in the field of IoT (Internet of Things), smart sensors, smart homes, etc. with the integration of a variety of innovative algorithms in areas such as artificial intelligence, imaging, databases, wireless local area networks, signal processing and others, covered by the disciplines of the master program.
Development and integration of innovative algorithms for satellite imagery, data mining and other problems specific to satellite computing (many part of the research projects of the research centre http://ceospacetech.pub.ro/ ).