Course Catalog 2014-2015
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Course Catalog 2014-2015

SGN-16006 Bachelor's Laboratory Course in Signal Processing, 5 cr

Person responsible

Mikko Parviainen, Alpo Värri, Heikki Huttunen, Hanna Silen

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures

 

 
 4 h/per

 

 
SGN-16006 2014-01 Wednesday 10 - 12 , S2
Wednesday 10 - 12 , TB111
Thursday 10 - 12 , TB222

Requirements

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

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).     

Instructions for students on how to achieve the learning outcomes

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-12000 Kuvan- ja videonkäsittelyn perusteet Advisable   1
SGN-12006 Basic Course in Image and Video Processing Advisable   1
SGN-13000 Johdatus hahmontunnistukseen ja koneoppimiseen Advisable   2
SGN-13006 Introduction to Pattern Recognition and Machine Learning Advisable   2
SGN-11000 Signaalinkäsittelyn perusteet Mandatory   3
SGN-11006 Basic Course in Signal Processing Mandatory   3
ELT-10000 Signaalit ja mittaaminen Advisable    
FYS-1010 Fysiikan työt I Advisable    

1 . Courses are equivalent.

2 . Courses are equivalent.

3 . Courses are equivalent.

Prerequisite relations (Requires logging in to POP)



Correspondence of content

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

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-16006 2014-01        

Last modified29.09.2014