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Lomonosov Moscow State University

Faculty of Computational Mathematics and Cybernetics

General Information

 In the fields of Applied Mathematics and Computer Science the Faculty of Computational Mathematics and Cybernetics has an outstanding record with regard to teaching and research in one of the most rapidly changing areas of human knowledge. The Faculty provides the maximum number of possible entry routes into the broad applications of computers in various fields of education, science, technology, economics and management.

The famous mathematician A. N. Tikhonov (1903-1993) was the initiator of the foundation of the Faculty in 1970. Since that time many highly qualified specialists have done scientific research and arranged educational programs. Nowadays more than 250 Professors including 80 Doctors of Science, 8 Full members (academicians) and 10 Corresponding members of the Russian Academy of Science work at the Faculty.

The highly qualified staff, effective forms of students' training and the modern level of computing facilities ensure that our graduates have a deep theoretical knowledge as well as good skills in practical applications. This makes them immediately employable.

Departments

General Mathematics
Mathematical Physics
Computational Methods
Research Automation
Non-Linear Dynamic Systems and Control Processes
Operations Research
Optimal Control
Mathematical Statistics
Mathematical Cybernetics
Systems Analysis
Mathematical Methods of Forecast
Algorithmic Languages
Computer Systems Architecture
System Programming
Foreign Languages
Laboratories

Mathematical Physics
Heat and Mass Transfer Simulation
Computational Methods of Gas Dynamics
Computational Electrodynamics
Inverse Problems
Mathematical Diagnostics and Image Processing
Statistical Simulation
Mathematical Modelling in Physics
Difference Methods
Statistical Analysis
Computer Systems
Microcomputer Systems
Dialogue Information Systems
Bachelour Degree

4 years full-time

Direction: Applied Mathematics and Informatics

During the first two years students are trained in the fundamental disciplines forming the basis of modern applied mathematics, computer and information sciences studies.

General Courses

Mathematical Analysis
Linear Algebra
Analytical Geometry
Discrete Mathematics
Differential Equations
Theory of Probabilities and Mathematical Statistics
Introduction into Informatics (MS-DOS)
Algorithms and Algorithmic Languages (Pascal)
Computer Systems Architecture and Assembly Language (Intel)
System Software (C-language)
Operating Systems (UNIX, WINDOWS)
Applied Software
Computer Graphics
Beginning with the third year foreign students are trained according to one of the following programmes:

1. Applied Mathematics

Specialisations

Mathematical Physics
Mathematical Modelling
Computational Diagnostics
Numerical Methods
General Topology and Geometry
Computational Mathematics
Optimal Control
Mathematical Statistics
Courses on Specialisation

Mathematical Physics
Numerical Methods
Functional Analysis
Methods of Optimisations
Games Theory and Operations Research
Physics of Wave Processes
Quantum Mechanics
Partial Differential Equations
Inverse Problems
Data Bases
Parallel Data Processing
Method of Finite Elements
Probability Methods
Stochastic Processes
Mathematical Bases of Probability Theory
Calculus of Variations
Numerical Methods of Optimal Control
Convex Analysis
Modern Problems of Programming
Differential Games
Discrete Optimisation
Elements of Ergodic Theory
Methods of Experimental Results Processing
2. Computer Science

Specialisations

System Programming
Mathematical Cybernetics
Systems and Networks
Algorithmic Languages
Data Bases
Software for Computers and Computer Systems
Courses on Specialisation

Computer Structure
Principles of Cybernetics
Programming Technology
Programming Languages
Mathematical Logic
Construction of Compilers
Computing Systems
Artificial Intelligence
Network Technologies
Applied Packages
Discrete Mathematics
Applied Problems of Cybernetics
Algorithms Complexity
Probability Methods
Optimisation Methods
Games Theory and Operations Research
Parallel Data Processing
Computer Practicum
Distributed Systems and Nets
Computer Systems Architecture
3. Informatics

Specialisations

Financial Mathematics
Business Informatics
Information Systems
Artificial Intelligence
Operations Research
Systems Analysis
Courses on Specialisation

Dynamic Systems
Multivalent Analysis
Methods of Identifications
Functional Analysis
Dynamic Programming and Control Processing
Applications of System Analysis
Economics
Models of Environment
Computer Systems of Decision Making Support
Financial Mathematics
Stochastic Analysis and Modelling
Computer Graphics and Geometry
Dynamics of Controlled Processes
Actuarial Sciences
Numerical Methods in Actuarial Mathematics
Mathematics of Compound Interest
Games Theory and Operations Research
Probability Models
Stochastic Process
Information Systems
Artificial Intelligence
Information Security
Master Degree

2 years full time

Direction: Applied Mathematics and Informatics

The period of study is devoted to deepening students' knowledge and practical skills in the chosen program. You will join a special seminar guided by a scientific advisor, take part in a research project and present a Master's thesis.

Programmes

Mathematical Physics
Mathematical Modelling
Computational Diagnostics
Numerical Methods
Theory of Probabilities and Mathematical Statistics
Operations Research and Systems Analysis
Optimisation and Optimal Control
Mathematical Cybernetics
Networks Software
System Programming
Software for Computers and Computer Systems
Mathematical and Informational Support of Economical and Financial Activities
PhD Degree

3 years full time

Specialities

Mathematical Physics
Computational Mathematics
Mathematical Cybernetics
Mathematical Statistics
Differential Equations
Mathematical Modelling
Scientific Computation
Computers Application
Numerical Methods and Applied Software
Networks and Distributed Systems
Database Development
Operations Research and Systems Analysis

 

 

 

 

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