Study Guide 2015-2016

SGN-13006 Introduction to Pattern Recognition and Machine Learning, 5 cr

Lessons

Study type P1 P2 P3 P4 Summer Lecture times and places
Lectures
Excercises
 28 h/per
 12 h/per


 


 


 


 
Tuesday 11 - 12 , TB223
Wednesday 12 - 14 , S1/SA201
Tuesday 10 - 12 , S2/SA203
Wednesday 12 - 14 , S2/SA203
Tuesday 10 - 12 , TB111


Description:

This course provides basic understanding of pattern recognition and machine learning methods needed for signal and data interpretation. Many methods are general and can be used in all fields of engineering.

Person responsible:

Joni Kämäräinen

Assessment scale:

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

Additional information of course implementation:

To pass the course you need to actively participate the lectures and do the exercises. You need to familiarise yourself to the given exercise questions before the exercise session.