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Jyväskylän yliopisto (The University of Jyväskylä)

Jyväskylän yliopisto on Jyväskylässä sijaitseva suomalainen yliopisto, jossa on yli 16 000 opiskelijaa ja henkilökuntaa noin 2 500. Vuonna 2008 Jyväskylän yliopistosta valmistui ennätykselliset 2100 maisteria ja 117 tohtoria. Kesän 2008 perushaussa yliopistoon hakeneiden määrä oli yli 11 600, joista hyväksyttyjä oli runsaat 1 600. Kaikki perusopiskelijat kuuluvat Jyväskylän yliopiston ylioppilaskuntaan. Vuosi 2009 on yliopiston 75-vuotisjuhlavuosi.
The University of Jyväskylä is a university in Jyväskylä, Finland. It has its origins in the first Finnish-speaking teacher training college (the so-called Teacher Seminary), founded in 1863. Around 16,000 students are currently enrolled in the degree programs of the university. It is ranked as the second largest university in Finland when measured according to the number of Master’s degrees conferred.

More information: http://en.wikipedia.org/wiki/University_of_Jyv%C3%A4skyl%C3%A4

Modelling Contexts in Cross-Cultural Communication Environments Anneli Heimbürger, Miika Nurminen, Teijo Venäläinen and Suna Kinnunen University of Jyväskylä Faculty of Information Technology Department of Mathematical Information Technology (MIT) The 20th European - Japanese Conference on Information Modelling and Knowledge Bases (EJC2010) 31 May - 4 June 2010, Jyväskylä, Finland
BENEFIT OF AN OPTIONAL WEB-BASED SEMINAR: COMPARING WAYS OF LEARNING ON THE WEB Pekka Makkonen University of Jyväskylä FINLAND

BENEFIT OF AN OPTIONAL WEB-BASED SEMINAR: COMPARING WAYS OF LEARNING ON THE WEB Pekka Makkonen University of Jyväskylä FINLAND
select() Uses “sets” of file descriptors int select(int numfds, fd_set *readfds, fd_set *writefds, fd_set *exceptfds, struct timeval *timeout);

select() Uses “sets” of file descriptors int select(int numfds, fd_set *readfds, fd_set *writefds, fd_set *exceptfds, struct timeval *timeout);
1. Overview of course (1/2)

1. Overview of course (1/2)

see page 1 in your material Theory (introductory lecture) and practice (exercise) Contents of the introductory lecture Pedagogical points related to e-learning Effect of the approaches on educational software Introducing our exercise and giving topics to each group
Knowledge management-exercise Lecture part 2

Knowledge management-exercise Lecture part 2

Pekka Makkonen
Information engineering and knowledge management Lecture part 1

Information engineering and knowledge management Lecture part 1

Pekka Makkonen References Turban et al., IT for management, 2004 & 2006 Riitta Partala’s lecture at the university of Jyväskylä
REAL TIME Niina Aaltonen Ulla Ahlfors Heikki Karjaluoto Timi Kärkkäinen

REAL TIME Niina Aaltonen Ulla Ahlfors Heikki Karjaluoto Timi Kärkkäinen

History of Physics Lecture 6

Experiences of business collaboration in ICT research Airi Salminen University of Jyväskylä http://www.cs.jyu.fi/~airi/ 18.10.2004
Evolutionary Computational Intelligence Lecture 5a: Overview about Evolutionary Programming

Evolutionary Computational Intelligence Lecture 5a: Overview about Evolutionary Programming

Ferrante Neri University of Jyväskylä
Evolutionary Computational Inteliigence Lecture 6b: Towards Parameter Control

Evolutionary Computational Inteliigence Lecture 6b: Towards Parameter Control

Ferrante Neri University of Jyväskylä

New high resolution spectrometer for nanometer level elemental depth profiling M. Laitinen, M. Rossi, P. Rahkila, H. J. Whitlow and T. Sajavaara Department of Physics, P.O.B 35, FIN-40014 University of Jyväskylä, Finland email: mikko.i.laitinen@jyu.fi

History of Physics Lecture 7
Evolutionary Computational Intelligence Lecture 3: Genetic Algorithms

Evolutionary Computational Intelligence Lecture 3: Genetic Algorithms

Ferrante Neri University of Jyväskylä

History of Physics Lecture 3 Ibn al-Haytham (Alhazen), “the first scientist”
Hadron structure with electromagnetic probes

Hadron structure with electromagnetic probes

Graduate School HANUC Jyväskylä, August 25-29, 2008 TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAA Marc Vanderhaeghen Johannes Gutenberg Universität, Mainz
WATER QUALITY PREDICTION FOR RIVER BASIN MANAGEMENT

WATER QUALITY PREDICTION FOR RIVER BASIN MANAGEMENT

Model identification, parameter estimation, validation, prediction Olli Malve Finnish Environment Institute Water quality modelling for river basin management

History of Physics Lecture 4
AQUATIC WATER QUALITY MODELLING

AQUATIC WATER QUALITY MODELLING

August 8, 2007 Research Professor Tom Frisk Pirkanmaa Regional Environment Centre P.O.Box 297, FIN-33101 Tampere, Finland E-mail tom.frisk@ymparisto.fi Phone +358 500 739 991
History of Physics Lecture 5

History of Physics Lecture 5
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