Lomonosov Moscow State University (MSU)

www.msu.ruwww.msu.ru

Lomonosov Moscow State University (MSU)

Established in 1755 by the decree of Established in 1755 by the decree of

Empress Empress ElizavetaElizaveta PetrovnaPetrovna

More than 40More than 40 000 students including 000 students including

77 000 undergraduates 000 undergraduates

Over 5Over 5 000 specialists do the 000 specialists do the

refresher courses refresher courses

More than 6More than 6 000 professors and lecturers 000 professors and lecturers

About 5About 5 000 scientific researchers000 scientific researchers

About 4About 4 000 international students000 international students

MSU campus: MSU campus:

•• 11 000000 000000 mm22 floor area floor area

•• 11 000 buildings and structures 000 buildings and structures

•• 88 dormitories for over 12dormitories for over 12 000000 students students

MSU library system is one of the largest in Russia: MSU library system is one of the largest in Russia:

•• 9 000 000 books (2 000 000 in foreign languages)9 000 000 books (2 000 000 in foreign languages)

•• 55 000 readers using 5 500 000 books a year55 000 readers using 5 500 000 books a year

Supercomputer Centre: Supercomputer Centre: LomonosovLomonosov, , ChebyshevChebyshev, and , and BluGeneBluGene/P/P

MSU Medical CentreMSU Medical Centre

Faculty of Computational Mathematics and Faculty of Computational Mathematics and Cybernetics (CMC MSU)Cybernetics (CMC MSU)

Since 1999:Since 1999:

Dean Dean

EvgenyEvgeny MoiseevMoiseev

Academician of Russian Academician of Russian Academy of Sciences (RAS)Academy of Sciences (RAS)

Founded in 1970 Founded in 1970

by the outstanding Russian by the outstanding Russian

mathematician mathematician

AndreyAndrey TikhonovTikhonov

19061906--19931993 19901990--1999 1999

Dmitry Dmitry KostomarovKostomarov

Academician of RAS Academician of RAS

Basic facts about CMC MSUBasic facts about CMC MSU

18 Departments of graduating students Applied Mathematics - 6

Cybernetics - 8

Computer Science - 4

18 Research Labs

450 Professors, lecturers, scientific staff 11 academicians of RAS including Presidents of RAS

13 corresponding members of RAS

100 Doctor of Sciences in math and informatics

200 Candidates of sciences (PhD)

2300 Full time students

400 Enrolled students each year

200 Postgraduate students

100 Foreign students

Overview of CMC MSUOverview of CMC MSU

CMCCMC MSUMSU isis targetedtargeted onon preparingpreparing eliteelite specialistsspecialists inin appliedapplied

mathematics,mathematics, informatics,informatics, andand computercomputer sciencessciences..

CMCCMC MSUMSU incorporateincorporate aa broadbroad rangerange ofof curricularcurricular andand researchresearch

interestsinterests..

CloseClose interactioninteraction andand feedbackfeedback fromfrom stakeholdersstakeholders enableenable CMCCMC

MSUMSU toto correlatecorrelate learninglearning outcomesoutcomes withwith modernmodern trendstrends inin

sciencescience andand businessbusiness..

CMCCMC MSUMSU representsrepresents bothboth thethe longlong--timetime traditionstraditions ofof

LomonosovLomonosov MoscowMoscow StateState UniversityUniversity withwith itsits maturitymaturity andand

experienceexperience andand thethe hopeshopes ofof thethe newernewer generationgeneration withwith itsits visionvision

towardtoward thethe FutureFuture..

TheThe highhigh qualificationqualification ofof ourour staffstaff andand thethe combinationcombination ofof deepdeep

theoreticaltheoretical andand practicalpractical experienceexperience ensureensure thatthat ourour graduatesgraduates

areare welcomewelcome atat thethe leadingleading researchresearch centers,centers, industrial,industrial,

commercialcommercial andand otherother institutionsinstitutions..

CMC MSU computer facilitiesCMC MSU computer facilities

77 computer Labs for common computer Labs for common purposespurposes

1515 special computer Labs special computer Labs

350350 PC available for students PC available for students

4040 servers, servers,

4040 Tb data warehouseTb data warehouse

22 multimedia rooms and multimedia rooms and TikhonovTikhonov Multimedia CentreMultimedia Centre

HPC Platforms available at CMC MSUHPC Platforms available at CMC MSU

CMC MSU Blue Gene/PCMC MSU Blue Gene/P

2048 2048 nodesnodes,, 27.8 27.8 TFlopsTFlops SKIF SKIF ““ChebyshevChebyshev””

625 625 IntelIntel--based clusterbased cluster,,

60 60 TflopsTflops

0,5 0,5 PetaflopsPetaflops

Cluster “Lomonosov”Cluster “Lomonosov” Students Students

terminalsterminals

classesclasses

CMCCMC

Local networkLocal network

MSU networkMSU network

U

se

rsU

se

rs

pSeriespSeries 690 Regatta690 Regatta

16 16 processors, SMP processors, SMP

CMC MSU Departments of Applied MathematicsCMC MSU Departments of Applied Mathematics

Mathematical Physics

Computational Methods

Research Automation

Computational Technologies

and Modeling

General Mathematics

Functional Analysis

and its Applications

CMC MSU Departments of CyberneticsCMC MSU Departments of Cybernetics

Operations Research

Optimal Control

Nonlinear Dynamic Systems

and Control Processes

System Analysis

Mathematical Methods of Forecast

Mathematical Statistics

Mathematical Cybernetics

Information Security

CMC MSU Departments of Computer ScienceCMC MSU Departments of Computer Science

Computing Systems and Automation

Algorithmic Languages

System Programming

Supercomputers and Quantum Informatics

Also:

Teaching Department of Foreign Languages

CMC MSU Research LabsCMC MSU Research Labs

• Mathematical Physics

• Computational Electrodynamics

• Inverse Problems

• Mathematical Methods for

Image Processing

• Statistical Analysis

• Mathematical Modeling in Physics

• Difference Methods

• Heat and Mass Transfer

Simulation

• Computer Systems

• Ternary Informatics

• Mathematical problems of

Computer Security

• Computational Practice and

Information Systems

• Computer Graphics and

Multimedia

• Information Systems Security

• Open Information Technologies

• Programming Technologies

• Computational Modeling Tools

• Industrial Mathematics

COLLABORATION with FOREIGN IT COMPANIESCOLLABORATION with FOREIGN IT COMPANIES

Microsoft Microsoft

Intel Intel

SamsungSamsung

Sun MicrosystemsSun Microsystems

Computer AssociatesComputer Associates

Siemens Siemens

IBMIBM

HewlettHewlett--PackardPackard

OracleOracle

SAP AGSAP AG

Cisco SystemsCisco Systems

CadenceCadence

Nissan Motors etc.Nissan Motors etc.

CMC MSU Regular B.Sc. Training ProgrammesCMC MSU Regular B.Sc. Training Programmes

BACHELOUR

DEGREE

programmes

4 years full time

240 ECTS

Applied Mathematics and Informatics:

1st stage of continuous curricula of integrated Master

Programme including more than 20 trajectories.

Fundamental Informatics and Information Technologies:

Bolognaologna--style style ProgrammeProgramme including 5 including 5 subprogrammessubprogrammes. .

BolognaBologna--style Master’s Programmesstyle Master’s Programmes

MASTER’S DEGREE

(2 years full time, 120 ETCS)

Software for Computer Networks Software for Computer Networks

Decision Engineering in

Economics and Finance

Information Security and Cryptography Information Security and Cryptography

Mathematical and Computer Methods of Image ProcessingMathematical and Computer Methods of Image Processing

Mathematical Models of Complex Systems: Mathematical Models of Complex Systems:

Theory, Algorithms, Applications Theory, Algorithms, Applications

Mathematical Models and Methods in VLSI DesignMathematical Models and Methods in VLSI Design

Parallel Programming Technology and HPC Parallel Programming Technology and HPC

Open Information Systems Open Information Systems

Integrated Master’s Programmes Integrated Master’s Programmes –– I I (starting 2015)(starting 2015)

MASTER’S DEGREE (2 years full time, 120 ETCS)

I . Mathematical and computational methods for solving I . Mathematical and computational methods for solving

problems of natural science:problems of natural science:

1.1. Computing technologies and modelingComputing technologies and modeling

2.2. Spectral theory of differential operators and control of Spectral theory of differential operators and control of

distributed systemsdistributed systems

3.3. Numerical methods and mathematical modelingNumerical methods and mathematical modeling

4.4. Computer methods in mathematical physics, inverse Computer methods in mathematical physics, inverse

problems and imagingproblems and imaging

5.5. Modern methods of mathematical modelingModern methods of mathematical modeling

Integrated Master’s Programmes Integrated Master’s Programmes –– II II (starting 2015)(starting 2015)

II. Mathematical methods of information processing and II. Mathematical methods of information processing and

decision making:decision making:

1.1. Operations research and actuarial mathematicsOperations research and actuarial mathematics

2.2. Discrete structures and algorithmsDiscrete structures and algorithms

3.3. Discrete controlling systems and their applicationsDiscrete controlling systems and their applications

4.4. Statistical analysis and forecasting of risksStatistical analysis and forecasting of risks

5.5. Information security of computer systemsInformation security of computer systems

6.6. The theory of nonlinear dynamical systems: analysis, synthesis The theory of nonlinear dynamical systems: analysis, synthesis

and controland control

7.7. Mathematical methods of modeling and optimization techniques Mathematical methods of modeling and optimization techniques

for control processesfor control processes

8.8. Logical and combinatorial methods of data analysisLogical and combinatorial methods of data analysis

9.9. Mathematical methods of system analysis, dynamics and controlMathematical methods of system analysis, dynamics and control

Integrated Master’s Programmes Integrated Master’s Programmes –– III III (starting 2015)(starting 2015)

III. System programming and computer science:III. System programming and computer science:

1.1. Intelligent systemsIntelligent systems

2.2. Big data mining Big data mining

3.3. Compiler technologyCompiler technology

4.4. Programming technologyProgramming technology

5.5. Supercomputer systems and applicationsSupercomputer systems and applications

6.6. Distributed systems and Distributed systems and compucomputerter networksnetworks

7.7. QuantumQuantum InformaticsInformatics

PhD PhD programmesprogrammes (4 (4 years full time)years full time)

01.01.0201.01.02 —— differential equations, dynamical differential equations, dynamical

systems, and optimal controlsystems, and optimal control;;

01.01.0501.01.05 —— probability theory and mathematical probability theory and mathematical

statisticsstatistics;;

01.01.0701.01.07 —— computational mathematicscomputational mathematics;;

01.01.0901.01.09 —— discrete mathematics and discrete mathematics and

mathematical cyberneticsmathematical cybernetics;;

05.13.1105.13.11 —— mathematical and program software for mathematical and program software for

computing systems and computer computing systems and computer

networks; networks;

05.13.1805.13.18 —— mathematical modeling, numerical mathematical modeling, numerical

methods, and program packages;methods, and program packages;

05.13.105.13.199 —— methods and systems of information methods and systems of information

protection, information security.protection, information security.

MSU-SUNY Dual Degree Program (DDP)

Two higher education diplomas in four years of simultaneous study

at CMC MSU and at SUNY Canton College of Technology (SUNY

Canton):

Training in economics and the BBA from SUNY

B.Sc. in Applied Mathematics and Informatics from CMC MSU

The original approach of DDP is based on the combination of the

following three components:

course transfer

teaching franchising

SUNY system of distance education

International Education Programmes

International Mobility of Students and Lecturers International Mobility of Students and Lecturers

ERANETERANET--MUNUDS and ERANETMUNUDS and ERANET--Plus MSU projectsPlus MSU projects

10 Master10 Master--level courses was suggested by CMC MSUlevel courses was suggested by CMC MSU

Exchange of students through joint internship programs Exchange of students through joint internship programs

•• ParisTechParisTech (EP, Mines, ENSTA), Boudreaux(EP, Mines, ENSTA), Boudreaux--1, Sofia1, Sofia--AntipolisAntipolis

•• Munich Technical University, Humboldt University of Berlin,Munich Technical University, Humboldt University of Berlin,

Aachen, Tubingen, Jena, Hannover, Bremen, Bielefeld, etc.Aachen, Tubingen, Jena, Hannover, Bremen, Bielefeld, etc.

•• Technology University of Zurich, EPL Technology University of Zurich, EPL at at LausanneLausanne

•• Tor Tor VergataVergata of Rome of Rome

Summer SchoolSummer School--2012 : 300 MSU students in China2012 : 300 MSU students in China

•• Summer School Summer School –– 2012: Chengdu, Xian, Beijing2012: Chengdu, Xian, Beijing

•• Meeting of Meeting of Li Li KeqiangKeqiang andand Victor Victor SadovnichiiSadovnichii

•• ChinaChina--Russia strategic collaboration in science and Russia strategic collaboration in science and educationeducation

International Scientific Activity International Scientific Activity

Summer students schoolsSummer students schools

The Advanced Digital Sciences Center (SingaporeThe Advanced Digital Sciences Center (Singapore--Illinois Univ.), Illinois Univ.),

ParisTechParisTech (France), (France),

EP at Lausanne (Switzerland), EP at Lausanne (Switzerland),

IIASA (Austria) IIASA (Austria)

Joint scientific interactions and projects Joint scientific interactions and projects

Minnesota, Hiroshima, Chuo, UKAEA Fusion, Montenegro, Minnesota, Hiroshima, Chuo, UKAEA Fusion, Montenegro, SeulSeul, , Comenius University in Bratislava, Comenius University in Bratislava, Bremen, Bielefeld, Barcelona Bremen, Bielefeld, Barcelona HPC Centre etc.HPC Centre etc.

Supported by Supported by RFBRRFBR--CNRS, RFBRCNRS, RFBR--DAAD, RFBRDAAD, RFBR--ChinaChina

Youth Summer School Youth Summer School

“High Performance Computing and “High Performance Computing and

Supercomputer Technologies”Supercomputer Technologies”

The RomeThe Rome--Moscow Moscow

"School on Matrix Computations "School on Matrix Computations

and Applied Linear Algebra”and Applied Linear Algebra”

GraphiConGraphiCon

International Conference on International Conference on

Computer Graphics and Vision Computer Graphics and Vision

and Youth Schooland Youth School

International School International School

“Economic Growth: Mathematical Dimensions““Economic Growth: Mathematical Dimensions“

Modern Information Technologies and ITModern Information Technologies and IT--educationeducation

Information Technologies in EducationInformation Technologies in Education

CMC MSU yearly International SchoolsCMC MSU yearly International Schools

TempusTempus--IV CMC MSU projectIV CMC MSU project

Partners from EU:Partners from EU:

1. Maria Curie1. Maria Curie--SklodovskaSklodovska University [Lublin, Poland] University [Lublin, Poland] 2. 2. University of KoblenzUniversity of Koblenz--Landau [Koblenz, Germany]Landau [Koblenz, Germany] 3. Link Campus University [Rome, Italy] 3. Link Campus University [Rome, Italy] 4. TU of Kosice [Kosice, Slovakia] 4. TU of Kosice [Kosice, Slovakia] 5. Quality Assurance Netherlands Universities [Utrecht, Netherlands] 5. Quality Assurance Netherlands Universities [Utrecht, Netherlands] 6. World University Service 6. World University Service –– Austrian Committee [Graz, Austria] Austrian Committee [Graz, Austria] Partners from Russia:Partners from Russia:

7. Moscow State Humanitarian University 7. Moscow State Humanitarian University 88. Lomonosov Moscow State University . Lomonosov Moscow State University

9. State University of Management [Moscow] 9. State University of Management [Moscow] 10. 10. Ministry of Education and Science of the Russian Federation Ministry of Education and Science of the Russian Federation

and 10 Partners from and 10 Partners from Ukraine, Ukraine, 6 6 -- from from Armenia Armenia

INFORMATICS AND MANAGEMENT:

BOLOGNA - STYLE

QUALIFICATIONS FRAMEWORKS

Projects Projects for for Joint CollaborationJoint Collaboration with with StakeholdersStakeholders Presented at International Fairs and Presented at International Fairs and Meetings in Paris, Berlin, Utrecht, BrazilMeetings in Paris, Berlin, Utrecht, Brazil

33D visualization and modeling for D visualization and modeling for Space IndustrySpace Industry

• Special software for visualization of dynamic operations with receiving and decrypting of telemetric information during International Space Station flight.

• Special software of estimation solar battery effectiveness.

• Special software of estimation the luminance of manned spaceship interiors.

Vasiliy Sazonov

sazonov@cs.msu.ru

Computer simulation of Computer simulation of cardiovascular system for medical cardiovascular system for medical purposespurposes

A.Ya.Bunicheva, V.B.Koshelev, V.A.Lukshin,

S.I.Mukhin, N.V.Sosnin, A.B.Khrulenko

The objective of the project is the development of mathematical The objective of the project is the development of mathematical

modelling methods for modelling methods for personalized and realistic simulation personalized and realistic simulation of of

blood flow in blood flow in human cardiovascular systemhuman cardiovascular system. Project puts its . Project puts its

contribution into the task of creation of computer contribution into the task of creation of computer monitoring, monitoring,

diagnostic and study of blood flowdiagnostic and study of blood flow in human cardiovascular system in human cardiovascular system

Web: vm.cs.msu.su

E-mail: vmmus@cs.msu.su

Mathematical modeling of scattering properties of nanoparticles in different media

TheThe DiscreteDiscrete SourcesSources MethodMethod (DSM)(DSM) isis aa newnew

computercomputer technologytechnology enablesenables toto realizerealize aa

compactcompact andand effectiveeffective computercomputer modelsmodels toto treattreat

aa videvide varietyvariety ofof lightlight scatteringscattering problemsproblems

includingincluding nanoopticsnanooptics,, plasmonicsplasmonics andand

biophotonicsbiophotonics..

DDSMSM isis aa semisemi--analyticalanalytical surfacesurface basedbased

meshlessmeshless methodmethod,, whichwhich requiresrequires neitherneither aa

meshmesh generation,generation, nornor anan integrationintegration procedureprocedure..

InIn thethe frameframe ofof thethe DSMDSM therethere isis anan opportunityopportunity

toto evaluateevaluate anan errorerror ofof thethe solutionsolution obtainedobtained

trackingtracking realreal convergenceconvergence ofof thethe resultsresults..

Yuri Eremin eremin@cs.msu.ru

Vladimir Lopushenko lopushnk@cs.msu.ru

Security and Privacy of Security and Privacy of Future ITC for Mobile Future ITC for Mobile DevicesDevices

•• Research and develop formal models and tools for Research and develop formal models and tools for Future Internet ITC Future Internet ITC infrastructure which would assure infrastructure which would assure level of security and privacy level of security and privacy not lower not lower than existing level of security and privacy of fixed networking devices. than existing level of security and privacy of fixed networking devices.

•• Develop methods for Develop methods for early detection and prevention of propagation of early detection and prevention of propagation of malware malware which targets mobile devices, webwhich targets mobile devices, web--based attacks (drivebased attacks (drive--by by downloads of malware) as well as directed attacks at mobile operating downloads of malware) as well as directed attacks at mobile operating system and applications. system and applications.

•• Develop mechanisms for Develop mechanisms for minimizing consequences of successful remote minimizing consequences of successful remote device exploitationdevice exploitation, prevent unauthorized use of infected, stolen or lost , prevent unauthorized use of infected, stolen or lost device from performing payment operations or other securitydevice from performing payment operations or other security--critical critical actions. actions.

Dennis Gamayunov,

Acting Head of ISS Lab, CMC MSU

gamajun@cs.msu.sugamajun@cs.msu.su

ShortShort--time time International International Educational Educational ProgrammesProgrammes

Student Training Programme

High Performance Computer Simulation for Science

and Engineering

Director: Professor Vladimir Voevodin.

Total Length: 170 hours.

Period: 2-3 months.

Language: English.

Courses included:

1. Parallel Computing and Supercomputing Technologies (24 hours)

2. Applied Computing for Clusters and Supercomputers (48 hours)

3. New High Performance Scalable Algorithms for Computational

Fluid Dynamics (48 hours)

4. Geometric Modeling in Computer Aided Design (CAD) (50 hours)

Advantages and Specific Features:

• Unique combination of novel high performance technologies and

algorithms for engineering;

• Lecturers are the founders of Supercomputer Education in Russia.

Student Training Programme

Nonlinear Optimization and Operations Research

in Economics

Director: Professor Alexander Vasin.

Total Length: 126 hours.

Period: 1-2 months.

Language: English.

Courses included:

1. Mathematical Models of Imperfect Competition (32 hours)

2. Advanced Numerical Optimization (30 hours)

3. Optimal Control: Linear Theory and Applications (64 hours)

Advantages and Specific Features:

• a part of Master and PhD programs at IMPA, Rio de Janeiro, Brazil

• partially based on original author’s books (in Portuguese)

Student Training Programme

Information Security Basics

Director: Dr. Ivan Chizhov.

Total Length: 200 hours.

Period: 2-3 months.

Language: Russian/English.

Advantages and Specific Features:

• Well-established Programme of Information Security (IS) for a wide

range of stakeholders;

• Unique combination of theoretical study and practice

under supervision of leading IS tutors;

• Provides necessary background for CMC MSU 2-year Masters’

Programme “Information Security and Cryptography”.

THANK YOU!THANK YOU!

More about CMC MSU: More about CMC MSU:

http://cmc.msu.ruhttp://cmc.msu.ru (In Russian)(In Russian)

httphttp://en.cs.msu.ru://en.cs.msu.ru (In English)(In English)