Course Catalog 2009-2010 Postgraduate Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Reijo Tuokko, Timo Prusi

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 1 : Wednesday 9 - 17, Hermia, near TUT Per 1, 2, 3 : Monday 16 - 18, K3114	DI-Opiskelijat International Students Jatko-opiskelijat

Requirements

Accepted laboratory assignments, acceptably returned and presented seminar work, sufficient participation to seminars. Exam.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

The course provides deeper knowledge about machine vision topics specialized to production automation, microproduction, microfactories, and laser processes.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Topics discussed on the course vary from year to year.

Evaluation criteria for the course

Seminar(s) and assignment(s) are mandatory part of the course. They will also be graded and they give roughly half of the total course grade. The rest of the total course grade comes from the exam.

Assessment scale:

Evaluation scale passed/failed 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
Lecture slides	Machine Vision: Advanced Topics	Lecturers					English
Other literature	Scientific papers supporting the topics	N.N.					English

Prerequisites

Additional information about prerequisites
Basic skills in programming are needed for successfully completing the assignments. Previous knowledge about the basics of machine vision in production automation is recommended since this is an "advanced topics" course.

Correspondence of content

There is no equivalence with any other courses

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1	Implementation for academic year 2009 - 2010. Topics discussed on the course vary from year to year but will deal with machine vision in production automation related applications. Please see the attached pdf-document for more infoormation about the implementation for year 2009 - 2010.	Lectures Seminar work Laboratory assignments	Contact teaching: 20 % Distance learning: 20 % Self-directed learning: 60 %

Last modified	12.03.2009
Modifier	Timo Prusi