Course Catalog 2012-2013
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2012-2013

SGN-1606 Signal Processing and Multimedia laboratory, 5 cr

Person responsible

Hanna Silen

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
 1 h/per

 

 

 

 
SGN-1606 2012-01 Wednesday 10 - 11, TB219

Requirements

Accepted laboratory exercises.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

After passing the course the student has a clear conception of the kinds of signal processing problems that may be found in working life and the student is able to apply the methods learnt in other courses of signal processing in practical problem solving.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Using some of the basic signal processing tools and measurement devices (including oscilloscope, signal generator, digital camera, signal processor, Matlab).  Understanding how the devices create the data, what the data is and analysing the data.   
2. Better understanding of the process of solving a practical signal processing problem and what are the required knowledge, skills and time to solve it.  Searching for information independently and applying it in problem solving.   
3. Assessing the different methods used in what comes to their performance and feasibility (and comparing them to each other, for example which method performs better in practice than another and why).     

Evaluation criteria for the course

Acceptance of all the four laboratory works is needed to pass the course.

Assessment scale:

Evaluation scale passed/failed will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Prerequisites

Course Mandatory/Advisable Description
SGN-1159 Introduction to Signal Processing, long version Mandatory   1
SGN-1251 Signaalinkäsittelyn sovellukset Mandatory   1
SGN-2010 Digitaalinen lineaarinen suodatus I Advisable   2
SGN-2016 Digital Linear Filtering I Advisable   2
SGN-2500 Johdatus hahmontunnistukseen Mandatory   3
SGN-2506 Introduction to Pattern Recognition Mandatory   3
SGN-3010 Digitaalinen kuvankäsittely I Mandatory   4
SGN-3016 Digital Image Processing I Mandatory   4
FYS-1010 Fysiikan työt I Advisable    

1 . One of the courses is required.

2 . Courses are equivalent.

3 . Courses are equivalent.

4 . Courses are equivalent.

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
SGN-1606 Signal Processing and Multimedia laboratory, 5 cr SGN-1600 Signal Processing and Multimedia Laboratory, 5 cr  
SGN-1606 Signal Processing and Multimedia laboratory, 5 cr SGN-16006 Bachelor's Laboratory Course in Signal Processing, 5 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-1606 2012-01        

Last modified12.03.2012