Address: MSU, Faculty of Computational Mathematics and Cybernetics, Russia, 119991, Moscow, GSP-1, 1-52, Leninskiye Gory | |

Telephone | 939-30-10 |

Fax | 939-25-96 |

WWW | http://www.cs.msu.su/ |

cmc@cs.msu.su |

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Dean: Acad. Yevgeny I. Moiseyev
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The Faculty of Computational Mathematics and Cybernetics at MSU is a leading centre for training specialists in fundamental research in Applied Mathematics, Computational Mathematics and Information Theory and Programming.

Founded in 1970, the Faculty owes its existence to one of the most prominent Russian scientists, Acad. Andrey N. Tikhonov, whose efforts were supported by Acad.M.V. Keldysh, the then President of the Academy of Sciences. Together with Acad. Tikhonov as the dean, the original academic staff of the Faculty contributed substantially to its development and growth, among them Acad. L.S. Pontryagin, Correspondent Members of the Academy of Sciences of the USSR L.N. Bolshev and S.V. Yablonsky and Professors I.S. Berezin and Y.B. Germeyer. The applied mathematics and information theory schools, leaders in the field in Russia, have been founded by the faculty academics working on the theory of boundary-value problems, mathematical physics and spectral theory of differential equations, nonlinear dynamic systems and control processes,computational methods and mathematical modeling, game theory and operations research, optimal control theory and systems analysis,mathematical cybernetics and logic, probability theory and mathematical statistics,applied programming and programming theory, computer systems and networks architecture.

The Faculty has 18 departments: Department of General Mathematics, Department of Non-Linear Dynamic Systems and Control Processes, Department of Mathematical Physics, Department of Computational Methods, Department of Research Automation, Department of Operations Research, Department of Optimal Control, Department of System Analysis, Department of Mathematical Statistics, Department of Mathematical Forecasting methods, Department of Mathematical Cybernetics, Department of Automation of Computing Systems, Department of Algorithmic Languages, Department of System Programming, Department of Quantum Information Theory, Department of Computational Technologies and Modelling, Department of the English Language, Department of Functional Analysis and its Applications.

The Chairs are 13 full members and correspondent members of the Russian Academy of Sciences Academicians K.A. Valiev, S.V. Emelyanov, Y.I. Zhuravlev, V.P. Ivannikov, V.A. Ilyin, P.S. Krasnoshchekov, A.B. Kurzhansky, G.I. Marchuk, E.I. Moiseev, Y.S. Osipov, Y.V. Prokhorov, correspondent members of The Russian Academy of Sciences L.N. Korolyov and D.P. Kostomarov, Professors V.B. Alekseev, A.M. Denisov, M.G. Malkovsky, and Associate Professor L.B. Saratovskaya.

The Faculty of Computational Mathematics and Cybernetics offers a number of full-time undergraduate programs.

The 5-year Specialist’s Degree program in Applied Mathematics and Information Theory leads to the qualification of mathematician and systems programmer. There are two 4-year Bachelor’s Degree programs for students majoring either in Applied Mathematics and Information Theory or Information Technologies.

The 2-year Master’s Degree programs in Applied Mathematics and Information Theory include Mathematics and Computer Software in Economy, Mathematical Cybernetics with specialization in Mathematics and Software Aspects of Information Security, Software Engineering for Computer Networks, Mathematics and Computer Software Engineering for Image Processing.

On the Specialist’s program we train IT specialists and researchers, who specialize in the following areas: Mathematical Physics, Mathematical Modelling, Numerical Methods, Computational Diagnostics, Operations Research and System Analysis, Actuarial Mathematics, Optimization and Optimal Control, Theory of Probabilities and Mathematical Statistics, Mathematical Cybernetics, Mathematics and Software Engineering for Information Security, Mathematics and Software Engineering for Dedicated Systems, Computer networks and systems design and development, System programming, Mathematics and Software Engineering for Computer Networks and Systems, Non-Linear Dynamic Systems.

On the Bachelor’s Degree program in Applied Mathematics and Information Theory we train highly qualified programmers and analysts capable of systematic approach to solving problems in the modern economic and political situation, using modern technologies in related fields of knowledge and creating integrated systems for information and mathematical support of economy, finance and administration.

On the Bachelor’s Degree program in Information Technologies we train IT-professionals for areas that require fundamental knowledge to create and use new IT systems, products and services, to develop and apply mathematical modeling of processes and objects, modern mathematical methods and information technologies in science, technology, economy, finance, administration and project design.

The Bachelor’s degree holders may enroll in 2-year Master’s Degree program, admission granted on a competitive basis; Master’s and Specialist’s degree holders may enroll in the 3-year post-graduate school.

Our curricula include the following mathematical disciplines: mathematical analysis, theory of functions of a complex variable, functional analysis, linear algebra, analytical geometry, differential equations, mathematical physics equations, probability theory, mathematical statistucs, mathematical logic, discrete mathematics, numerical analysis, operations research, game theory, optimal control theory, extremal problems, and a broad range of lectures on computer engineering and programming:algortithms and algorithmic languages, computer systems architecture and assembly language, system software, application software, computer graphics, parallel computations, databases, operating systems, artificial intelligence, object-oriented programming, computer networks, network technologies, programming systems, etc.

The curricula also include an obligatory course of the English language and a number of the Liberal Arts courses.

A considerable amount of time is devoted to work on computers, including workstations and PCs, students mastering several operation systems and at least three programming languages.

While in the first two years the main stress is on the basic training in mathematics and theoretical and applied programming, in their third year students are to specialize in a major area, attending special seminars at the department they choose and working under the guidance of a research adviser.

Our students are involved in research work which goes hand in hand with their studies and is carried out at the Faculty or at the affiliated academic institutes and laboratories, such as the laboratories of Mathematics of Physics, Heat and Mass Transfer Modelling, Statistical Modelling, Computational Electrodynamics, Mathematical Modelling in Physics, Difference Methods, Statistical Analysis, Computer Hardware and Software, Computer Systems Laboratory for Scientific Research and Interactive Systems Development, SUN Microsystems for Education and Scientific Research, Information Security, Computer graphics and multimedia.

We have a few classrooms with Intel-based PCs with multimedia equipment and specialized software, a few classrooms equipped with UNIX workstations, connected into a local area network with fiber optic Internet access. There are graphic workstations, including high performance cluster Apollo-9000, and multiprocessor supercomputer IBM R690.

The Faculty has exchange programs with many foreign universities and some businesses. We have close ties with large IT companies, such as Intel, Microsoft, IBM, Hewlett-Packard, Sun, Cisco, SAP, Samsung, Russian companies Luksoft, Redlab, I-T, Garant, Consultant-Plus, Dialogue-Science, IBS, DMV-Group and many others. There are Intel and Microsoft students’ laboratories operating at the faculty and the regional academy CISCO. The Faculty takes part in Microsoft IT-Academy program.

Our graduates’ profound theoretical knowledge and their experience in research work under the guidance of our professors and researchers give our graduates excellent employment opportunities.

The Faculty graduates are highly sought after by various companies and institutions where IT technologies are used, including RAS research institutions, institutions of higher education, state and governmental organizations, banks, insurance companies , finance and consulting companies, various Russian and foreign businesses, etc. About a third of the graduates go on to continue their studies at the post-graduate school.