Machine learning algorithms (TIETS39)

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Machine learning algorithms are presented. Their use to build computational models are described.


    • Advanced study course, 5 ECTS
    • 12 lectures (24 h), Martti Juhola
    • 5 weekly exercise times (10 h), Jyrki Rasku
    • Additional scores: when one makes more of all weekly exercises than 30%, additional scores [0,5] are given as follows: ≥30% 0, ≥41% 1, ≥52% 2, ≥63% 3, ≥74% 4, ≥85% 5
    • To pass the course: (1) at least 30% of weekly exercises have to be made and (2) the examination with scores of 12 or more from [0,30]

New! Matlab is used for exercises. Do this quickly (if not yet done):

To load Matlab you first need an activation code and obtaining this may take time. (You also need a UTA student account.) To be done via the following link:

Note the updated place of the first lecture!

On Tuesday the 6th March at 10-12, Pinni 1097.


On Tuesdays at 10-12 from the 13th March to the 17th April excluding the 3rd April, Pinni B3107

On Wednesdays at 10-12 from the 7th March to the 18th April excluding the 28 March, Pinni B3107

Weekly exercises

On Thursdays at 12-14 from the 22nd March to 26th April excluding the 29th March, Main building C6, but Linna K113 on the 26th April


On the 4th May (class D10a+b at 10-14) or the 31st May (class D10a+b at 16-20)




Weekly exercises:

Data sets: