Course Material
The following books will be used in the course
- Supervised Machine Learning Links to an external site., by Lindholm, Wahlström, Lindsten and Schön. The manuscript is available for free here Links to an external site..
- Modeling and Identification of Dynamic Systems, Ljung and Glad, 2016. (Sold by KFS Links to an external site., Bokus, Adlibris.)
I would like to express my thanks to Lindholm et al making their manuscript freely available (as well as other material) !
We will not read all of the two books. You will find the exact reading assignments attached to each lecture.
To each lecture there will be a Canvas page with reading assignments, lecture, exercise info and more information. These will be released well before each lecture. There are in some cases also some "Additional Material" collected in a separate page. This gives more information for the ambitious student for further study. Take some minutes to browse this additional material and decide how much time you should spend on it. It will not be needed to pass the exam, but can be helpful for your understanding. (Note that to access some material you need to have answered the first quiz.)