Courses

CWI highly values education. CWI researchers not only supervise and inspire the CWI PhD students, but also aim at contributing to teaching Master's students at universities. See the overview of CWI's current involvement in teaching courses in the Netherlands below.

Contribution to education

CWI is a research institute and does not have education as an institutional task. However, many of the senior researchers of CWI contribute to education via an affiliation or part-time appointment at one of the Dutch universities. CWI conveys the knowledge of the scientists employed at our institute to the new generation of mathematics and computer science students. Our staff contributes by e.g. teaching a university course or supervising MSc thesis projects carried out by university students. They also supervise PhD students at CWI, who defend their thesis at one of the Dutch universities after their employment at CWI. All courses can be found below in alphabetical order. You can also open the pdf for a complete overview.

Network Models, Representation and Consciousness

URL
Focus

This course gives a broad overview of neural network models of the brain up to and including mechanistic theories of conciousness.

Type
Course
Organisation
CWI educators
CWI group
Other educators
  • prof. dr. C.M.A. Pennartz (Coordinator)
Period
28 oct 2024 – 22 nov 2024
Location
UvA
Level
MSc
ECTS
6.00

Foundations of Statistics and Machine Learning

In this course, we describe statistics based on the E-VALUE, a recently developed alternative for the p-value that does fit 21st century requirements. This is cutting-edge research: the e-value was introduced in modern form only in 2019.

Focus

-Understand the notions of likelihood and its application in the classical statistical paradigms (frequentist, Bayesian, sequentiall)
-Understand the notion of e-value, e-process, nonnegative test martingale, testing by betting and its application in always-valid testing and estimation
-Understand the powers and limitations of existing statistical methods

Type
Course
Organisation
CWI educators
CWI group
Period
1 sep 2024 – 1 jun 2025
Level
MSc
ECTS
6.00

Graphical Models and Causality

URL
Focus

This course is an introduction to causal inference. We will study formalisms to express causal relations, frameworks for reasoning about interventions and counterfactuals, and methods for discovering causal relations from data.

Type
Course
Organisation
CWI educators
CWI group
Period
25 apr 2024 – 15 jun 2024
Level
MSc

Machine Learning Theory

URL
Focus

In this course we focus on the fundamental ideas, theoretical frameworks, and rich array of mathematical tools and techniques that power machine learning.

Type
Course
Organisation
CWI educators
CWI group
Period
9 feb 2024 – 25 may 2024
Level
MSc

Network Models, Representation and Consciousness

URL
Focus

This course gives a broad overview of neural network models of the brain up to and including mechanistic theories of conciousness.

Type
Course
Organisation
CWI educators
CWI group
Period
24 oct 2023 – 30 oct 2023
Level
MSc

Neural Dynamics and Deep Learning

URL
Focus

In this course, we will cover advanced methods for analysis and simulation of neural systems looking at both biophysical and cognitive perspectives.

Type
Course
Organisation
CWI educators
CWI group
Period
1 oct 2023 – 1 dec 2023
Level
MSc

Graphical Models and Causality

URL
Focus

This course is an introduction to causal inference. We will study formalisms to express causal relations, frameworks for reasoning about interventions and counterfactuals, and methods for discovering causal relations from data.

Type
Course
Organisation
CWI educators
CWI group
Period
24 apr 2023 – 7 jul 2023
Level
MSc

Machine Learning Theory

URL
Focus

In this course we focus on the fundamental ideas, theoretical frameworks, and rich array of mathematical tools and techniques that power machine learning.

Type
Course
Organisation
CWI educators
CWI group
Other educators
Period
6 feb 2023 – 26 may 2023
Level
MSc