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

Course´s person responsible

Ioan Tabus

Implementations

	Lecture times and places	Target group recommended to
Implementation 1		DI-Opiskelijat Jatko-opiskelijat KV-opiskelijat

Requirements

Assignment and final exam.

Principles and baselines related to teaching and learning

-

Objectives

Student will learn basic adaptive signal processing methods, especially linear adaptive filters and learning of supervised neural networks.

Evaluation criteria for the course

Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and homework is accepted. Course acceptance threshold is approx. half of the maximum exam points.

Assessment scale:

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

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Book	"Adaptive Filter Theory"	S. Haykin			Prentice-Hall, 2002.		English

Prerequisites

Correspondence of content

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 modified	17.06.2009
Modifier	Ioan Tabus