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Tampere University:
Curricula Guides 2017–2018
Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current
Curricula Guides
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Curricula Guides
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Faculty of Natural Sciences 2017–2019
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Optional Intermediate Studies in Computer Sciences (open university)
TIETA9 Introduction to WWW Techniques 5 ECTS
Organised by
Degree Programme in Computer Sciences
Preceding studies
Recommended:
TIEY4
Introduction to Computing
TIEP1
Introduction to Programming I
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017
TIETA9
Introduction to WWW Techniques
5 ECTS
Belongs to following study modules
Teaching
Teaching methods
Teaching method
Contact
Online
Lectures
Exercises
Modes of study
Option 1
Available for:
Degree Programme Students
Other Students
Open University Students
Doctoral Students
Exchange Students
Participation in course work
In Finnish
Further information
(luennot, harjoitukset, tentti, harjoitustyö)
Evaluation
Numeric 1-5.
Belongs to following study modules
Faculty of Natural Sciences
Study Module in Usability and User Interfaces
Faculty of Natural Sciences
Study Module in Programming II
Faculty of Natural Sciences
Intermediate Studies in Computer Science
Faculty of Natural Sciences
Muut aineopinnot
Faculty of Natural Sciences
Optional Intermediate Studies in Computer Sciences (open university)
Faculty of Natural Sciences
Other Intermediate Studies in Computer Sciences for other degree programmes
Faculty of Natural Sciences
Optional studies
2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
TIETA9
Johdatus www-tekniikoihin
For Open University students only
TIETA9
Johdatus www-tekniikoihin
Faculty of Natural Sciences
Degree Programmes
Degree Programme in Computer Sciences
Bachelor's Degree Programme in Computer Sciences
fi
Master's Programme in Computer Science
fi
Master's Degree Programme in Software Development
en
fi
Master's Degree Programme in Human-Technology Interaction
en
fi
Master's Degree Programme in Computational Big Data Analytics
en
fi
Degree Programme in Mathematics and Statistics
Bachelor's Degree Programme in Mathematics and Statistics
fi
Master´s Programme in Mathematics
fi
Master's Degree Programme in Computational Big Data Analytics
en
fi
Master's Degree Programme in Computational Big Data Analytics
Master's Degree Programme in Computational Big Data Analytics
en
fi
Master's Degree Programme in Software Development
Master's Degree Programme in Software Development
en
fi
Doctoral programme in Information and Systems
Doctoral Programme in Information and Systems
fi
Study Modules offered as Optional Studies
Optional studies in Mathematics and Statistics for other degree programmes
fi
Optional studies in Computer Sciences for other degree programmes
fi
Basic and intermediate studies in Chemistry (2015-2016)
fi
Basic and intermediate studies in Chemistry (2016-2017)
fi
Basic and intermediate studies in Chemistry (2016-2017)
fi
Basic and intermediate studies in Chemistry (2016-2017)
fi
Basic and intermediate studies in Physics (2015-2016)
fi
Basic and intermediate studies in Physics (2016-2017)
fi
Basic and intermediate studies in Physics (2016-2017)
fi
Basic and intermediate studies in Physics (2016-2017)
fi
Other Study Modules
Faculty of Natural Sciences, Free Choice Studies
fi
Faculty of Natural Sciences, Internationalisation Module
en
fi
Other courses in Mathematics and Statistics
fi
General Studies in Master's Degree Programmes given in English 2018-2019
en
Open university studies
fi
Information and Knowledge Management (TUT)
fi
Study Module in Information Management and Information Systems (TUT)
fi
Study Module in Information Management and Information Systems (TUT)
fi