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 29 during 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.
| Time | Room | Lecture | Computer exercise | ||
|---|---|---|---|---|---|
| March 18 | Monday 8:00-9:45 |
Euler | L1 |
Introduction: LN pages 1-24, see also pages 1-8 of GH, Chapter 5. Lecture notes: LN1_2024.pdf Teacher: Ottmar |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E1 | Teacher: Konstantinos |
|
|
| March 20 | Wednesday 10:00-11:45 |
Euler | L2 |
Markov random fields: LN pages 60-67. Lecture notes: LN2_2024.pdf Teacher: Ottmar |
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E2 | Teacher: Konstantinos | ||
| April 8 | Monday 8:00-9:45 |
Euler | L3 |
Spatial random processes: LN pages 69-78. Lecture notes: LN3_2024.pdf Teacher: Konstantinos |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E3 | Teacher: Konstantinos | ||
| April 10 | Wednesday 10:00-11:45 |
Euler | L4 |
OLS, GLS and ML estimation: LN pages 78-85. Lecture notes: LN4_2024.pdf Teacher: Konstantinos
|
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E4 | Teacher: Konstantinos | ||
| April 15 | Monday 8:00-9:45 |
Euler | L5 |
GMRFs: HS pages 172-175, 201-207. Point process analysis (part 1): LN pages 86-93. Lecture notes: LN5_2024.pdf, LN5-6_2024.pdf Teacher: Ottmar |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E5 | Teacher: Konstantinos | Continue working on exercise 4 | |
| April 17 | Wednesday 10:00-11:45 |
Euler | L6 |
Point process analysis (part 2): LN pages 86-93. Lecture notes: LN5-6_2024.pdf Teacher: Ottmar |
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E6 | Teacher: Konstantinos | ||
| April 22 | Monday 8:00-9:45 |
Euler | L7 |
Marked point processes, superpositions and thinnings: LN pages 94-96 and 117-129. Lecture notes: LN7_2024.pdf Teacher: Ottmar |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E7 | Teacher: Konstantinos | ||
| DEADLINE FOR PLANNING REPORT PROJECT PART 3 |
|
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| April 24 | Wednesday 10:00-11:45 |
Euler | L8 |
LDA, QDA, image moments: LN pages 31-38 and EL 4.3. 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. Lecture notes: LN8_2024.pdf Teacher: Konstantinos |
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E8 | Teacher: Konstantinos | ||
| April 29 | Monday 8:00-9:45 |
Euler | L9 |
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. Lecture notes: LN9_2024.pdf Teacher: Konstantinos |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E9 | Teacher: Konstantinos | ||
| May 6 | Monday 8:00-9:45 |
Euler | L10 |
Extra lecture/question session. Case study on applications of point processes: Ottmar. Lecture notes: LN10_2024.pdf |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E10 | Teacher: Konstantinos | ||
| May 8 | Wednesday 10:00-11:45 |
Euler | L11 |
Guest lecture: Mehdi Moradi (Umeå University). Slides: Lecture_Moradi.pdf Case study: Konstantinos. Case study.pdf
|
|
| Wednesday 13:15-15:00 |
MVF24 and MVF25 | E11 | |||
| May 13 | Monday 8:00-9:45 |
Euler | L12 |
Guest lecture: Nathan Gillot Zoom: https://chalmers.zoom.us/j/69920913772 Password: 571529 |
|
| Monday 13:15-15:00 |
MVF24 and MVF25 | E12 | |||
| DEADLINE FOR PROJECT PART 1, 2 & 3 | |||||
| May 15 | Wednesday 10:00-11:45 | Euler | Question session | ||
| Wednesday 13:15-15:00 |
MVH12 | ||||
| May 20 | Monday 8:00-9:45 |
Euler |
Project seminars To book a slot for your group's presentation during one of the indicated days, fill in the group details here: https://docs.google.com/spreadsheets/d/14_nLAYeL-Xz-qVHjgqWtW-pScd08azF8fwQNYG0qHkk/edit?usp=sharing If you want to change slot with another group, please contact those group members to get their ok. |
||
| Monday 13:15-15:00 |
MVH12 | Project seminars | |||
| May 22 | Wednesday 10:00-11:45 |
Euler | Project seminars | ||
| Wednesday 13:15-15:00 |
MVH12 | Project seminars | |||
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 |
|---|---|---|