Courses persons responsible
Matti Vilkko

Lecturers
Matti Vilkko

Implementations

	Period 1	Period 2	Period 3	Period 4	Period 5	Summer
Lecture	2 h/week	2 h/week	-	-	-	-
Exercise	2 h/week	2 h/week	-	-	-	-
Exam

(Timetable for academic year 2006-2007)

Objectives
The objective is to provide basic theoretical and practical knowledge to student so that he can understand and apply the most important system identification methods.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Identification principles. Nonparametric time and frequency-domain methods. Recursive identification. Model structure selection and model validation. System identification in practice. PC exercises are an essential part of the course.

Requirements for completing the course
A Computer Examination with Matlab and System Identification Toolbox.

Evaluation criteria for the course

Study material

Type	Name	Auhor	ISBN	URL	Edition, availability...	Exam material	Language
Book	System Identification, Theory for the User	Lennart Ljung	0-13-656695-2		ISBN 0-13-656695-2	No

Prerequisites

Code	Course	Credits	M/R
ACI-20090	ACI-20090 Computer Simulation Techniques	5	Recommendable
MAT-20500	MAT-20500 Probability Calculus	3	Recommendable

Prequisite relations (Sign up to TUT Intranet required)

Remarks

Distance learning

- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In distributing and/or returning exercise work, material etc
- In exams or assessment of knowledge and skill/learning

Principles and starting points related to the instruction and learning of the course

Correspondence of content
ACI-42070 Identification

Course homepage

Last modified	31.03.2006
Modified by	Matti Vilkko