Course Catalog 2009-2010
International

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

MIT-3016 Analysis of Measurement Data 1, 7 cr

Person responsible

Risto Ritala

Implementations

  Lecture times and places Target group recommended to
Implementation 1

Periods 1 1 - 2

 
 


Requirements

Examination and computer exercises. 20 % of homework exercises.

Principles and baselines related to teaching and learning

-

Learning outcomes

Develops capability to assess properties of systems by analyzing and computing characteristics of stochastic measurement signals and pairs of signals.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Measurement as reflecting reality, probabilistic view. Measurement uncertainty.  Principles of Bayesian statistics and Bayesian measurement information theory.   
2. One and two variable normal distributions and their use in abnormality detection and state recognition.     
3. Identification of statistical models by maximum likelihood or least mean squares. Motivation for identification methods.   General maximum likelihood / maximum a posteriori identification.   
4. Covariance function, spectrum and their non-parametric estimation. Effect of sampling on estimates.  Introduction to parametric spectrum estimation. Introduction to time series analysis.  Relationship between cross-covariance/spectrum and joint probability density function of time series. 
5. Spectral analysis of linear dynamic and stochastic systems.     


Evaluation criteria for the course

Exam 0-30 points. 20% of homework exercises mandatory. By doing homework exercises, up to 5 bonus points for exam. Particpation in 4/5 computer exercises mandatory.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Prerequisite relations (Requires logging in to POP)

Correspondence of content

There is no equivalence with any other courses

More precise information per implementation

  Description Methods of instruction Implementation
Implementation 1   Lectures
Excercises
Practical works
   
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %  


Last modified12.03.2009
ModifierRisto Ritala