Course syllabus
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 each lecture, the chapters covered in the books are listed. Here, LN denotes the lecture notes (Rudemo), HS denotes the Handbook of spatial statistics (Gelfand, Diggle, Guttorp & Fuentes), EL denotes The Elements of Statistical Learning (Hastie, Tibshirani & Friedman) and GH denotes Image Analysis for the Biological Sciences (Glasbey & Hogan).
The lectures will be given in Euler.
Projects and examination
The deadlines for the projects can be found at the end of this page under Course summary. The reports should be uploaded in Canvas/Assignments.
In addition to the projects, there will be a final exam on May 31 at 14:00-18:00.
Lectures and Exercises
Teachers of the course are Ottmar Cronie (lectures, examiner), ottmar@chalmers.se, and Konstantinos Konstantinou (lectures, computer exercises), konkons@chalmers.se. Lecture notes of the lectures can be found in Files/Lecture notes, here you find LN, here you find HS, here you find EL and GH can be found here. The information below will be updated and extended on an ongoing basis.
Student representatives
Jasper Arends (MPENM): arends@student.chalmers.se
Andreas Bauner (MPCAS): andreas.bauner@gmail.com
Žorsteinn Freygaršsson (MPENM): torsteinnf@gmail.com
Lukas Fu (MPCAS): lukasfu@student.chalmers.se
Lukas Johansson (MPDSC): lukas.g.johansson@gmail.com
| Time | Room | Lecture | Computer exercise | ||
|---|---|---|---|---|---|
| March 20 | Monday 8:00-9:45 |
Euler | L1 |
(Ottmar) Introduction: lecture notes and LN pages 1-24, see also pages 1-8 of GH, Chapter 5. |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E1 | (Konstantinos) | ||
| March 22 | Wednesday 10:00-11:45 |
Euler | L2 | (Konstantinos) Spatial random processes: lecture notes and LN pages 69-78. | |
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E2 | (Konstantinos) | ||
| March 27 | Monday 8:00-9:45 |
Euler | L3 |
(Konstantinos) OLS, GLS and ML estimation: lecture notes and LN pages 78-85. |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E3 | (Konstantinos) | ||
| March 29 | Wednesday 10:00-11:45 |
Euler | L4 |
(Konstantinos) GMRFs, HS pages 172-175, 201-207. LDA, QDA, image moments, LN pages 31-38 and EL 4.3 |
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E4 | Continue working on exercise 3 | ||
| April 17 | Monday 8:00-9:45 |
Euler | L5 |
(Ottmar) Cross validation, supervised methods, LN pages 38-42 and 53-59 and sections 2.3.2, 7.10, 12.2-12.3.2, 11.3-11.5 in EL |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E5 | |||
| April 19 | Wednesday 10:00-11:45 |
Euler | L6 |
(Konstantinos) Image segmentation, morphological operations and feature extraction. LN 1.5-1.6, 2.8. See also EL 8.5.1, 14.3.6-14.3.7. |
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E6 | |||
| April 24 | Monday 8:00-9:45 |
Euler | L7 | (Ottmar) Markov random fields, lecture notes and LN pages 60-67 | |
| Monday 13:15-15:00 |
MVF24 and MVF25 | E7 | |||
| DEADLINE FOR PLANNING REPORT PROJECT PART 3 |
|
||||
| April 26 | Wednesday 10:00-11:45 |
Euler | L8 | Guest lecture (Magnus Röding), lecture notes. | |
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E8 | |||
| May 3 | Wednesday 10:00-11:45 |
Euler | L9 |
(Ottmar) Point process analysis, lecture notes LN pages 86-93. |
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E9 | |||
| May 8 | Monday 8:00-9:45 |
Euler | L10 | (Ottmar) Marked point processes, superpositions and thinnings. LN pages 94-96 and 117-129, lecture notes |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E10 | Point processes | ||
| May 10 | Wednesday 10:00-11:45 |
Euler | L11 |
(Konstantinos+Ottmar) Applications of point processes/image analysis. Ottmar's slides |
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E11 | Work on projects | ||
| May 15 | Monday 8:30-9:45 |
Euler | L12 |
Guest lecture (Mehdi Moradi). Note: ONLINE LECTURE, SO NO CLASS ATTENDANCE! Zoom-link: https://chalmers.zoom.us/j/67428774822 Meeting ID: 674 2877 4822 Password: 907853 |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E12 | Work on projects | ||
| DEADLINE FOR PROJECT PART 1 & 2 | |||||
| May 17 | Wednesday 10:00-11:45 | Euler | Project seminars (schedule) | ||
| Wednesday 13:15-15:00 |
MVH12 | Project seminars | |||
| May 22 | Monday 8:00-9:45 |
Euler | Project seminars | ||
| Monday 13:15-15:00 |
MVH12 | Project seminars | |||
| May 26 | DEADLINE FOR THE FINAL VERSION OF THE REPORT PART 3 | ||||
| May 29 | DEADLINE FOR REVISION OF PART 1 & 2 |
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).
Course summary:
| Date | Details | Due |
|---|---|---|