Schedule to be decided

Clustering

Submitted by LouisOhl on December 5, 2025 - 14:25
This is a 6HP PhD course that will be hosted at the Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University. Preliminary schedule is estimated to be week 16, 13th-15th April 2026. A few days of lectures will be at Linköping week 16, and examination will be online around week 23. The goal of the course is to serve as an introduction to the clustering task. It is aimed for students that have an applied or engineering background, e.g., machine learning, signal processing, statistics, computer vision, and control.
Course Data
University: 
Linköping
Offered: 
2026:1
Level: 
PhD
Credits (ECTS): 
6
Type of schedule: 
Schedule to be decided

Statistical Climatology

Submitted by johantykesson on September 23, 2022 - 01:39

Course description

The course will consist of two or three cases, i.e., scientific questions that we seek to answer. Scientific background material, in the form of links, summary texts, and lectures, will be provided to aid the analysis. Technical lectures (detailed or overviews) are available upon request. The class will be divided into groups, each of which do their own analysis. The intent is to have each group contain a broad spectrum of expertise.

Course Data
University: 
Göteborg
Offered: 
2022:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Schedule to be decided

Introduction to Structural Equation Models (7.5 ECTS)

Submitted by larsronn on September 18, 2020 - 08:06

Upon completion of the course, the doctoral student will be able to: explain the basic theoretical foundation and practical use of Structural Equation Models (SEM), apply SEM on real problems, interpret and present the results, estimate structural equation models with maximum likelihood and least squares and be able to evaluate the results.

Course Data
University: 
Dalarna
Offered: 
2020:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Schedule to be decided

Topics in Time Series Analysis: Old to New

Submitted by johantykesson on July 4, 2019 - 15:33

During the fall 2019 professor Richard Davis, Columbia University, will give a course on Topics in Time Series Analysis: Old to New.

The course is aimed at advanced masters students and PhD students from Chalmers and Gothenburg University, and also welcomes students from other Scandinavian universities. The first meeting will be 

Monday, September 23, 13:15-15:00, room MVH 12 in the Mathematics Building, Chalmers tvärgata 3

Course Data
University: 
Chalmers
Offered: 
2019:2
Level: 
Master
PhD
Credits (ECTS): 
5
Type of schedule: 
Schedule to be decided

Approximate Bayesian Computation

Submitted by johantykesson on November 6, 2017 - 22:59

Approximate Bayesian Computation (ABC) is an increasingly popular inference paradigm in applications where traditional (Bayesian or frequentist) inference is difficult because the likelihood function is e.g. computationally costly to evaluate or unavailable in closed, tractab- le form. In the course, we will start by briefly studying traditional Bayesian inference and different kinds of simulation-based inference methods in general.

Course Data
University: 
Chalmers
Offered: 
Not scheduled
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Schedule to be decided

Multi Level modelling

Submitted by ghazishukur on December 2, 2011 - 14:51

The aim of the course is to give the students basic knowledge in multilevel modelling from both theoretical as well as practical side. The course is designed to help doctoral students in their empirical analysis with multi-level data. The course will provide an up-to-date overview on the most commonly used

Course Data
University: 
Jönköping
Offered: 
2012:1
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Schedule to be decided
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