This page contains the program of the course: lectures and computer labs. Other information, such as learning outcomes, teachers, literature and examination, are in a separate course PM.

Program

The schedule of the course is in TimeEdit.

The course has two lectures and two computer exercises each week. Details for these are given in the schedule below, which will be updated during the course. For the lectures, the chapters covered in the books are listed, where LN denotes the lecture notes and HS denotes the Handbook of spatial statistics and EL The Elements of Statistical Learning.
The original plan was  that  lectures would be in room MVF26 and the computer exercises  in room MVF25.  However, due to the Corona virus all teaching is now planned to be performed remotely.  More about that later.

Lectures and ExercisesLink

The information below  will be updated and extended on an ongoing basis, currently  the information on Lecture 1-11 and Computer exercises 1-11 are up-to-date

Back to the top

Computer labs

The exercises will be done in Matlab, and some knowledge of Matlab is assumed. If you need an introduction, see Learning MATLAB, Tobin A. Driscoll ISBN: 978-0-898716-83-2 (The book is published by SIAM).

Most computer exercises will use functions written specifically for this course. These are collected in the following file: TMS016_Matlab.zip. Download this file and add the path to the folder in matlab: addpath('path_to_folder'). Then run the command tms016path to set the path to the files.

Data used in the exercies are colleded here: TMS016_Data.zip.

Reference literature:

Learning MATLAB, Tobin A. Driscoll ISBN: 978-0-898716-83-2 (The book is published by SIAM).

Back to the top