CMC MSU presentation 2014 OF...Lomonosov Moscow State University ... CMC MSU incorporate a broad...
Transcript of CMC MSU presentation 2014 OF...Lomonosov Moscow State University ... CMC MSU incorporate a broad...
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
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: [email protected]
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 [email protected]
Vladimir Lopushenko [email protected]
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
[email protected]@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)