ASE-5016 Advanced Methods of Data-driven Modelling and Analysis, 5 cr
Additional information
Suitable for postgraduate studies
Person responsible
Hannu Koivisto
Lessons
Implementation 1: ASE-5016 2015-01
| Study type | P1 | P2 | P3 | P4 | Summer |
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Requirements
Exam. Homework exercises and computer exercises.
Learning Outcomes
The topic of the course is on advanced methodologies for data analysis, modeling and classification. 1. Multinomial Gaussian distributions and dimension reduction. Linear transformations of distributions. Parameter estimation. 2. Data-analysis and and model structure selection methodologies. 3. Linear and nonlinear model and classifier identification. Bayesian evaluation approach 4. Fuzzy techniques
Prerequisites
| Course | Mandatory/Advisable | Description |
| ASE-2510 Johdatus systeemien analysointiin | Advisable |
Additional information about prerequisites
Prerequisites are courses given in Finnish. For this course it is sufficient to know the background in modeling and probability from any suitable course.
Correspondence of content
| Course | Corresponds course | Description |
| ASE-5016 Advanced Methods of Data-driven Modelling and Analysis, 5 cr | ASE-5016 Advanced Methods of Data-driven Modelling and Analysis, 5 cr |