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.
N.B! The lectures are organized together with TIEA4 Project Work.
Please see the teaching schedule of TIETS19 from the TIEA4 schedule: https://www10.uta.fi/opas/opetusohjelma/marjapuuro.htm?id=24870
The 3 ECTS Theory part of this course is in period IV.
Compulsory preceding studies for Software Project Management: TIEA4 Project Work OR SISYA200 Innovation Project
Corresponding course TKOPS301 Requirements Engineering
Note. This course starts on Spring term 2014 (periods IV-I).
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.
Learning from multiple sources denotes the problem of jointly learning from a set of (partially) related learning problems, views, or tasks. This general concept underlies several topics of research, which differ in terms of the assumptions made about the dependency structure between learning problems. During the course, we will cover a number of different learning tasks for integrating multiple sources and go through recent advances in the field. Examples of topics covered by the course include data fusion, transfer learning, multitask learning, multiview learning, and learning under covariate shift.
Enroll by sending e-mail to the lecturer (jaakko.peltonen@uta.fi) by 12.9. at the latest. After 12.9. 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
Further information on including this course in advanced studies, contact your study advisor or professor.
This part of course is same as TKOPS117 Software Project Management.
N.B! The lectures are organized together with TIEA4 Project Work.
Please see the teaching schedule of TIETS19 from the TIEA4 schedule: https://www10.uta.fi/opas/opetusohjelma/marjapuuro.htm?id=24870
The 3 ECTS Theory part of this course is in period IV.
Compulsory preceding studies for Software Project Management: TIEA4 Project Work OR SISYA200 Innovation Project
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.
The course’s main objectives are that i) the students become acquainted with a variety of testing techniques and ii) the interconnections of testing to the concepts and quality features of security of software and trust of information systems.
By email: eleni.berki(at)uta.fi. Enrolment starts on 6 October 2014 and ends on 19 October 2014.
The course is suitable for following programmes: 1) Information Systems, 2) Software Development
Kurssi soveltuu syventäviksi opinnoiksi seuraavissa maisteriopinnoissa: 1) Tietojärjestelmät, 2) Ohjelmistokehitys (engl.)
Learning from multiple sources denotes the problem of jointly learning from a set of (partially) related learning problems, views, or tasks. This general concept underlies several topics of research, which differ in terms of the assumptions made about the dependency structure between learning problems. During the course, we will cover a number of different learning tasks for integrating multiple sources and go through recent advances in the field. Examples of topics covered by the course include data fusion, transfer learning, multitask learning, multiview learning, and learning under covariate shift.
Enroll by sending e-mail to the lecturer (jaakko.peltonen@uta.fi) by 12.9. at the latest. After 12.9. 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
Further information on including this course in advanced studies, contact your study advisor or professor.
No preregistration needed. Just go to the first lecture.
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.
Enroll by sending e-mail to the lecturer (jaakko.peltonen@uta.fi) by 6.1.2015 at the latest. After this, participate to the first lecture.
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 TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
The course’s main objectives are that i) the students become acquainted with a variety of testing techniques and ii) the interconnections of testing to the concepts and quality features of security of software and trust of information systems.
By email: eleni.berki(at)uta.fi. Enrolment starts on 6 October 2014 and ends on 19 October 2014.
The course is suitable for following programmes: 1) Information Systems, 2) Software Development
Kurssi soveltuu syventäviksi opinnoiksi seuraavissa maisteriopinnoissa: 1) Tietojärjestelmät, 2) Ohjelmistokehitys (engl.)
Kurssin kotisivun kautta
Compulsory preceding studies for TIETS19 Software Project Management: SISYA200 Innovation Project OR TIEA4 Project Work
This part of course is same as TKOPS118 Theory of Software Project Management.
Note. This course starts in Spring term 2015 and continues in Summer 2015 and in Fall term 2015 (periods IV-I). It is not suitable for exchange students who come for the Spring term 2015 only.
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.
Enroll by sending e-mail to the lecturer (jaakko.peltonen@uta.fi) by 6.1.2015 at the latest. After this, participate to the first lecture.
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 TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
Kurssin kotisivun kautta
Compulsory preceding studies for TIETS19 Software Project Management: SISYA200 Innovation Project OR TIEA4 Project Work