Course Catalog 2009-2010
Basic

Basic Pori International Postgraduate Open University

|Degrees|     |Study blocks|     |Courses|    

Course Catalog 2009-2010

TTE-5606 Machine Vision: Advanced Topics, 5 cr

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

Course Mandatory/Advisable Description
OHJ-1106 Programming I Advisable    
TTE-5216 Machine Vision in Production Automation Advisable    

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.

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 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 modified12.03.2009
ModifierTimo Prusi