Periods
(3-Sep-2012
– 19-Oct-2012)
(22-Oct-2012
– 14-Dec-2012)
(7-Jan-2013
– 8-Mar-2013)
(11-Mar-2013
– 17-May-2013)
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
Note. This course continues from Spring term 2012 (periods IV-I).
This part of course is same as TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
More details will be given on the course page. On line courses available now:
Machine Learning started on 20^th Aug and is designed for 10 weeks (5-7 hours/week),
Cryptography started on 27^th Aug and is designed for 6 weeks (5-7 hours/week),
Game Theory started on 20^th Aug and is designed for 7 weeks (5-7 hours/week)
Web Intelligence and Big Data starts onAug 27th 2012, 10 weeks long (2-3 hours/week)
Computing for Data Analysis starts on Sep 24th, 4 weeks long (3-5 hours per week)
Neural Networks for Machine Learning starts on Oct 1st, 8 weeks long (7-9 hours/week)
This part of course is same as TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
More details will be given on the course page. On line courses available now:
Machine Learning started on 20^th Aug and is designed for 10 weeks (5-7 hours/week),
Cryptography started on 27^th Aug and is designed for 6 weeks (5-7 hours/week),
Game Theory started on 20^th Aug and is designed for 7 weeks (5-7 hours/week)
Web Intelligence and Big Data starts onAug 27th 2012, 10 weeks long (2-3 hours/week)
Computing for Data Analysis starts on Sep 24th, 4 weeks long (3-5 hours per week)
Neural Networks for Machine Learning starts on Oct 1st, 8 weeks long (7-9 hours/week)
This part of course is same as TKOPS117 Software Project Management.
The 3 ECTS Theory part of this course is in period IV.
More details will be given on the course page. On line courses (5 ECTS each) available:
Computer Vision: From 3D Reconstruction to Visual Recognition
Jan 2013
Control of Mobile Robots
Jan 27th 2013
Natural Language Processing
Feb 11th 2013
Contents of the seminar:
Biometric data sources: fingerprints, face and iris images. Data Preprocessing, data mining which includes analysis, classification and clustering, data evaluation and interpretation. Simple classification methods: K-NN, Linear discriminate, naive Bayes rule etc. Four Rates (TPR, FNR, TNR and FNR) and Equal error rate in biometric statistic.
Modes of Study: Compulsorily attending seminar sessions and individual or group presentation.
This seminar is accepted as advanced studies in
- Computational Methods and Programming (laskentamenetelmien ja ohjelmoinnin opintosuunta) and
- Advanced courses in Algorithmics (algoritmiikan maisteriohjelma)
- Advanced Studies in Statistics
This part of course is same as TKOPS118 Theory of Software Project Management.
More details will be given on the course page. On line courses (5 ECTS each) available:
Computer Vision: From 3D Reconstruction to Visual Recognition
Jan 2013
Control of Mobile Robots
Jan 27th 2013
Natural Language Processing
Feb 11th 2013
The independent component (IC) model is a semi-parametric multivariate model where the observable observations are considered to be linear mixtures of unobservable latent variables which have independent components. The goal of independent component analysis (ICA) is to estimate the latent variables.
In this course we will discuss the IC model and its properties as well as introduce several ICA methods.
Related models and methods will also be shortly discussed.
Requirements: Students are expected to have a basic knowledge of multivariate methods and R.
Please fill the form and enroll before 7.3.2013. See the link below.
No classes on week 10, nor 1.-2.4.
Course is implementation of MTTS1 Other course in Mathematics or Statistics (advanced) and can be a part of Advanced studies in Statistics.
Students of Computer Science can include course in
- M.Sc. Programme in Algorithmics and
- Specialization in Computational Methods and Programming.
Contents of the seminar:
Biometric data sources: fingerprints, face and iris images. Data Preprocessing, data mining which includes analysis, classification and clustering, data evaluation and interpretation. Simple classification methods: K-NN, Linear discriminate, naive Bayes rule etc. Four Rates (TPR, FNR, TNR and FNR) and Equal error rate in biometric statistic.
Modes of Study: Compulsorily attending seminar sessions and individual or group presentation.
This seminar is accepted as advanced studies in
- Computational Methods and Programming (laskentamenetelmien ja ohjelmoinnin opintosuunta) and
- Advanced courses in Algorithmics (algoritmiikan maisteriohjelma)
- Advanced Studies in Statistics
TISE-course
Teacher: Pekka Ruotsalainen, adjunct professor, research professor (emeritus)
Enrollment to the course by email: Pekka.Ruotsalainen@uta.fi
NOTE change: This course will be lectured in period IV!
Contact the teacher eleni.berki@uta.fi by email in February to register to the course. You will receive email on the arranged classes and meetings.
More details will be given on the Coursera web page. On line courses (5 ECTS each) available:
Coding the Matrix: Linear Algebra through Computer Science Applications *
https://www.coursera.org/course/matrix
Note! This course is accepted only as intermediate level studies, not advanced level studies (hyväksytään aineopintotasoisena).
Discrete Optimization *
https://www.coursera.org/course/optimization
Software Defined Networking
https://www.coursera.org/course/sdn
Malicious Software and its Underground Economy: Two Sides to Every Story
https://www.coursera.org/course/malsoftware
* Kaksi ensimmäistä kelpaavat tietojenkäsittelyopin matemaattisiksi opinnoiksi.
------------
Acceptable Coursera courses to be organized during the summer time:
Coding the Matrix: Linear Algebra through Computer Science Applications
https://www.coursera.org/course/matrix
Discrete Optimization
https://www.coursera.org/course/optimization
Software Defined Networking
https://www.coursera.org/course/sdn
Malicious Software and its Underground Economy: Two Sides to Every Story
https://www.coursera.org/course/malsoftware
Coding the Matrix and Discrete Optimization are also acceptable as "mathematical studies in Bachelor's degree in computer science".
Note. This course starts Spring term 2013 and continues on Fall term 2013 (periods IV-I).