Artificial Intelligence, 20 cr

Type of the study module

Advanced Studies


Tapio Elomaa, Heikki Huttunen

Learning Outcomes

- Student is able to study state-of-the-art in machine learning and signal processing methods and can adopt and adapt these techniques, especially in the robotics application domain. Student is able to design, train and deploy a machine learning model for classification and regression. This module will provide expert-level knowledge on artificial intelligence technologies needed in industry and consumer applications.


Compulsory courses

Course Credit points Class
SGN-41007 Pattern Recognition and Machine Learning 5 cr IV  
SGN-44006 Artificial Intelligence 5 cr IV  
Total 10 cr  

Complementary Courses

Select at least 10 credits from the following list of courses. The student may also propose courses outside this list to the responsible professors.

Please select at least 10 credits of courses

Course Credit points Additional information
ASE-7536 Model-Based Estimation 5-7 cr
SGN-26006 Advanced Signal Processing Laboratory 5 cr 1
SGN-33007 Media Analysis 5 cr
SGN-43006 Knowledge Mining and Big Data 5 cr
SGN-45006 Fundamentals of Robot Vision 5 cr
SGN-81006 Signal Processing Innovation Project 5-8 cr 1
TIE-22307 Data-Intensive Programming 5 cr

1. Only one of the two laboratory courses (SGN-26006 and SGN-81006) may be taken.

Additional information

Opintokokonaisuus on tarkoitettu syventäväksi lisäkokonaisuudeksi Robotics-pääaineen opiskelijoille, eikä sitä voi suorittaa erillisenä tästä pääaineesta.
The study module is intended to extend the Robotics major to 50 cr. This module can only be taken together with the Robotics major.

Updated by: Järvinen Hannu-Matti, 04.02.2019