Course Catalog 2008-2009 International Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Course´s person responsible

Heimo Ihalainen

Implementations

	Lecture times and places	Target group recommended to
Implementation 1

Requirements

Computer exam or theoretical exam is compulsory for a numeric grade. It is possible to have the course passed with an acceptable exercise project.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

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Objectives

Gives abilities and skills to apply mathematical methods in measurement data analysis and results based decision support. Specifically dynamic systems; data and models. Applying and developing of numerical methods using MATLAB.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Overview to the methods of data-analysis.	Practical knowledge on data-analysis and modeling.	Statistical methods.
2.	Visualization methods for data-analysis.	Developing new visualization.
3.	Performing numerical analysis with MATLAB.	Algorithms for different methods programmed in and applied with MATLAB. Using several toolboxes and software from internet.	The issues of accuracy, memory usage and speed of computations.
4.	Practical knowledge of signal- and image processing.	Application of Fourier-methods.
5.	Principles of dynamic systems.	Modeling and simulation of dynamic systems.

Evaluation criteria for the course

Exercises, assignments and exam.

Assessment scale:

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

Partial passing:

Completion parts must belong to the same implementation

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Book	Computational Statistics Handbook with MATLAB	W.L.L. Martinez, A.R. Martinez					English
Lecture slides	Mathematical Methods for Measurement Technology	H. Ihalainen					English
Online book	Numerical Computing with MATLAB	C. Moler					English

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1		Lectures Excercises ITC Utilization Practical works	Contact teaching: 0 % Distance learning: 10 % Self-directed learning: 10 %

Last modified	08.08.2008
Modifier	Heikki Jokinen