Mathematical Modeling, Numerical Methods and Software Complexes

Profession

Graduate of the course in “Informatics and Computer Engineering” are mainly employed as researchers and pedagogical workers of the highest qualification — candidates of physical and mathematical sciences. They are capable of doing innovative activities in mathematics, information technology, mathematical modeling, and related fields of science and higher education. Some graduates are future top managers and heads of IT companies.

Educational Process

The postgraduate program includes lectures, a large amount of practical training on the basis of the Faculty of Physical, Mathematical and Natural Sciences of RUDN University and the leading computing centers of Moscow. Preparation of the research work of a graduate student is carried out using powerful computing equipment under the guidance of leading specialists — doctors and candidates of sciences, as well as heads of research centers and laboratories.
During the training program, graduate students study the following disciplines:
First year of study:
Block 1. Educational disciplines (modules)
Basic part
Foreign language
History and philosophy of science
Variable part
Research methodology
Methods of teaching computer science and computer engineering in higher education
Block 1 (1 discipline out of 2)
Research software
Modern theoretical problems in numerical methods
Block 2 Practice
Teaching practice
Block 3 Research
Second year of study:
Postgraduate Disciplines
Mathematical modeling, numerical methods and program complexes
Block 1 (1 discipline out of 2)
Differential methods of discretization of continuous mathematical models
Optional disciplines from another program (within the industry)
Block 2 Practice
Teaching practice
Block 3 Research
Third year of study:
Block 2 Practice
Teaching practice
Block 3 Research
Fourth year of study:
Block 2 Practice
Research practice
Teaching practice
Block 3 Research
Block 4 State final certification
Preparation for exams and taking exams
Presentation of a scientific report on the main results of the prepared scientific and qualification work (dissertation)
Considerable amount of time is devoted to the research work of a graduate student, work in a team of researchers and to prepare a dissertation. The entire educational process and scientific research are carried out in multimedia classrooms and research laboratories and centers of the Institute of Applied Mathematics and Telecommunications, as well as in computer classes equipped with modern equipment and software for conducting computational experiments.

Practice

The research practice, pedagogical practice and scientific research envisaged by the curriculum are carried out on the basis of the Computer Center for Management of Information Technology, Low-Current and Telecommunication Systems of the RUDN University, as well as on the basis of the scientific and educational laboratory “Management of Infocommunications” of the Department of Applied Informatics and Probability Theory and Laboratory advanced research of fifth generation (5G) networks and the Internet of things of the Institute of Applied Mathematics and Telecommunications of the RUDN University. There is a modern laboratory and material and technical base — self-organizing laboratories based on WiFi technology, classrooms with multimedia training tools, eLearning tools with the possibility of implementing virtual classes and special laboratories.
When conducting research practice and research, the following scientific problems and tasks are considered:
— application of theoretical methods of teletraffic in information and telecommunication technologies;
— mathematical theory of teletraffic of multiservice networks;
— analysis of large amounts of data;
— pattern recognition and image analysis;
— computer graphics;
— Database;
— information search;
— computer analysis of natural languages
— business process analysis
— Artificial Intelligence
— dynamic intelligent systems
— cloud computing;
— The theory of communication, systems and devices for transmitting information on communication systems.
— networks, communication nodes and information distribution.
— mathematical and software of computers, complexes and computer networks.
— automated information systems.
— development and application of modern methods of mathematical modeling in solving problems of probability theory and statistics, analysis of reliability and risks.
In addition, graduate students hold annual master classes by leading scientific experts and representatives of employers from real sectors of the economy, Russian and foreign scientists from leading universities and research centers.

Career

Having chosen a career as a specialist in the field of theoretical foundations of knowledge of mathematics, information technology, mathematical modeling, they deal with theoretical and practical problems of programming and data processing, solve problems in the field of computers, systems, computer networks, methods of processing and accumulating information, algorithms, programs, programming languages and human machine interfaces, the development of new mathematical methods and means of supporting intelligent data processing, the development of information and computer-aided design and control systems as applied to various subject areas.
Companies where graduate students work:
— Public institutes and private IT companies;
— Research institutes in the field of computer and information sciences;
— State and private educational institutions with the direction of education computer and information sciences.
Categories of posts that he can hold.
— scientific and pedagogical staff of higher qualification, teachers of higher education;
— IT project managers;
— leading programmers;
— Heads of IT departments;
— Top managers and heads of IT companies.
The objects of professional activity of graduates who have mastered the postgraduate program are:
— computers, complexes, systems and networks;
— software of computer equipment and automated systems (programs, software systems and systems);
— mathematical, informational, technical, linguistic, software, ergonomic, organizational and legal support of automated information, computing, designing and control systems;
— high-performance computing and supercomputer technology;
— technologies for the development of hardware for computer technology and software products;
— mathematical, informational, simulation models of systems and processes;
— software and information support for computer tools, networks, information systems;
— physical and mathematical models, numerical algorithms and programs;
— methods of experimental research of the properties of materials and natural phenomena, physicochemical processes that make up the content of fundamental and applied mathematics, mechanics and other natural sciences, examination and monitoring of complex technical systems.