Teaching in this programme is mostly in Finnish. More advanced level courses given in English in Computer Science and Interactive Technology can be found on the teaching schedules of Master's Degree Programme in Software Development and Master's Degree Programme in Human-Technology Interaction.
See also Examination Dates
This part of course is same as TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
Corresponding course TKOPS301 Requirements Engineering
Note. This course starts on Spring term 2013 (periods IV-I).
New courses for Autumn term 2013
More details will be given on the course page.
Accepting courses in M.Sc. programmes:
A maximum of 10 ECTS credits from Coursera courses (or two Coursera courses) can be included in the degree.
This part of course is same as TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
New courses for Autumn term 2013
More details will be given on the course page.
Accepting courses in M.Sc. programmes:
A maximum of 10 ECTS credits from Coursera courses (or two Coursera courses) can be included in the degree.
Registration to the course via email to the course lecturer Eleni.Berki@uta.fi
Teachers are from our Erasmus partner Fachhochschule Köln.
Teachers: Prof. Dr. H. Faeskorn‐Woyke and Damian Gawenda
Seminar Agenda:
This part of course is same as TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
Organisaatioiden tietojärjestelmien alalta. Tiedot tarkentuvat kevään/kesän 2013 aikana.
Properties of high-dim data; Feature Selection; Linear feature extraction methods such as principal component analysis and linear discriminant analysis; Graphical excellence; Human perception; Nonlinear dimensionality reduction methods such as the self-organizing map and Laplacian embedding; Neighbor embedding methods such as stochastic neighbor embedding and the neighbor retrieval visualizer; Graph visualization; Graph layout methods such as LinLog.
Please send email to mtt-studies@sis.uta.fi by wednesday 8.1. at the latest. After 8.1. contact the lecturer.
Modes of study
- Lectures
- Exercises (independent work)
- Exam
Recommended preceding studies
Basic mathematics and probability courses; basic competence in a scientific programming language such as matlab or R.
Other
Course can be an optional course in
- Advanced Studies in Statistics
- Advanced Studies in Computational Methods and Programming
- M.Sc. programme in Algorithmics
Further information on including this course in advanced studies, contact your study advisor or professor.
UTA opiskelijat voivat hakea JOO-opinto-oikeutta esim. seuraaville TTY:n opintojaksoille. Huomioithan edeltävyysvaatimukset. Katso JOO-hakuohjeet.
UTA students may make an application to take studies offered by TUT, for example the following courses. Please note the prerequisites mentioned. See instructions on JOO studies.
Muita jaksoja löytyy TTY:n opetusohjelmasta.
Other courses can be found on TUT study guide.
Huom. JOO-oikeutta pitää hakea viimeistään noin neljä (4) viikkoa ennen kurssin alkamista!
NOTE the JOO-application must be submitted at least four (4) weeks before the teaching starts.
This part of course is same as TKOPS118 Theory of Software Project Management.
Organisaatioiden tietojärjestelmien alalta. Tiedot tarkentuvat kevään/kesän 2013 aikana.
Note. This course starts on Spring term 2014 and continues on Fall term 2014 (periods IV-I).
Properties of high-dim data; Feature Selection; Linear feature extraction methods such as principal component analysis and linear discriminant analysis; Graphical excellence; Human perception; Nonlinear dimensionality reduction methods such as the self-organizing map and Laplacian embedding; Neighbor embedding methods such as stochastic neighbor embedding and the neighbor retrieval visualizer; Graph visualization; Graph layout methods such as LinLog.
Please send email to mtt-studies@sis.uta.fi by wednesday 8.1. at the latest. After 8.1. contact the lecturer.
Modes of study
- Lectures
- Exercises (independent work)
- Exam
Recommended preceding studies
Basic mathematics and probability courses; basic competence in a scientific programming language such as matlab or R.
Other
Course can be an optional course in
- Advanced Studies in Statistics
- Advanced Studies in Computational Methods and Programming
- M.Sc. programme in Algorithmics
Further information on including this course in advanced studies, contact your study advisor or professor.
UTA opiskelijat voivat hakea JOO-opinto-oikeutta esim. seuraaville TTY:n opintojaksoille. Huomioithan edeltävyysvaatimukset. Katso JOO-hakuohjeet.
UTA students may make an application to take studies offered by TUT, for example the following courses. Please note the prerequisites mentioned. See instructions on JOO studies.
Muita jaksoja löytyy TTY:n opetusohjelmasta.
Other courses can be found on TUT study guide.
Huom. JOO-oikeutta pitää hakea viimeistään noin neljä (4) viikkoa ennen kurssin alkamista!
NOTE the JOO-application must be submitted at least four (4) weeks before the teaching starts.