Course Catalog 2014-2015
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2014-2015

SGN-42006 Machine Learning, 5 cr
Machine Learning
SGN-42006 2014-01

Lessons

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


 
 4 h/per
 4 h/per


 


 


 
Monday 12 - 14 , TB104
Friday 14 - 16 , TB103


Description:

. Learning outcomes: The student can describe the difference artificial intelligence and machine learning. The student can list the mentioned learning rules. The student can describe them and is capable to apply them to train neural networks. The student is capable to list to analyse the lectured neural networks (MLP,SVM,SOM and recurrent networks). The student is capable to analyse the own problem and to select the most suitable, lectured neural network. The student has a certain capability to create new solutions based on the lectured material.

Person responsible:

Ari Visa

Target groups:

Automaatiotekniikka
Electrical Engineering
Information Technology
International Students
Jatkotutkinto-opiskelijat
Signaalinkäsittely ja tietoliikennetekniikka

Assessment scale:

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

Additional information of course implementation:

. Lecturer:............Professor Ari Visa, ari.visa@tut.fi, room TF309, phone 040 728 7969 Requirements:...The examination is based on the final exam and active participation in classroom exercises. Exercises:.........are held by M.Sc. Katariina Mahkonen, email: katariina.mahkonen@tut.fi, room: TF317 Literature:..........Neural Networks: a Comprehensive Foundation, Simon Haykin, 2nd Ed. Prentice-Hall Inc., 1999.