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.

Stochastic decision theory

URL
Focus

The goal of the course is to familiarize students with the basic mathematical concepts and computational techniques for stochastic decision and optimization problems, and illustrate the application of these methods in various scenarios.

Type
Course
Organisation
CWI educators
CWI group
Other educators
  • dr. J. Sanders, MSc (Instructor)
Period
3 nov 2025 – 2 mar 2026
Level
MSc
ECTS
5.00

Performance of Networked Systems

Students will gain experience in modelling, engineering and planning performance of networked systems, and will learn how to tackle performance problems arising in today's information and communication systems.

URL
Focus

We focus on performance modeling, traffic management, QoS provisioning and capacity planning for both wired and wireless/mobile communication networks (such as WiFi, 2G, 3G, 4G, 5G networks, and mobile ad-hoc networks).

Type
Course
Organisation
CWI educators
CWI group
Period
27 oct 2025 – 19 dec 2025
Level
MSc
ECTS
6.00

Spatial Statistics

Spatial data may come in various forms. Geostatistical data consist of a list of random measurements taken at fixed locations. In point pattern data the locations themselves are random. Examples of the former include weather and air quality data collected at monitoring stations. Optimal sampling is an important issue. Examples of point patterns include catalogues of the epicentres and magnitudes of earthquakes.

Type
Course
Organisation
CWI educators
CWI group
Other educators
  • dr. F.B. Osei (Lecturer)
Period
24 mar 2025 – 16 apr 2025
Other urls
Level
MSc
ECTS
5.00

Algorithmic Methods in Queueing Theory

This course focusses on algorithmic aspects of queueing theory, and builds on the basic queueing models treated in the Master course Queueing Theory.

Focus

The course starts by treating numerical methods to solve the steady-state and transient behavior of (finite state) Markov processes. Attention is also devoted to the construction of (error) bounds on the steady-state distribution. Then the course introduc

Type
Course
Organisation
CWI educators
CWI group
Period
1 dec 2024 – 31 jan 2025
Location
Utrecht University
Other urls
Level
PhD

Performance of Networked Systems

URL
Focus

Students will gain experience in modelling, engineering and planning performance of networked systems, and will learn how to tackle practical state-of-the-art performance problems arising in today's information and communication systems.

Type
Course
Organisation
CWI educators
CWI group
Period
1 nov 2024 – 31 dec 2024
Level
MSc
ECTS
6.00

Stochastic decision theory

URL
Focus

The goal of the course is to familiarize students with the basic mathematical concepts and computational techniques for stochastic decision and optimization problems, and illustrate the application of these methods in various scenarios.

Type
Course
Organisation
CWI educators
CWI group
Other educators
  • dr. J. Sanders, MSc (Instructor)
Period
1 nov 2024 – 1 mar 2025
Level
MSc
ECTS
5.00

Spatial Statistics

Spatial data may come in various forms. Geostatistical data consist of a list of random measurements taken at fixed locations. In point pattern data the locations themselves are random. Examples of the former include weather and air quality data collected at monitoring stations. Optimal sampling is an important issue. Examples of point patterns include catalogues of the epicentres and magnitudes of earthquakes.

Type
Course
Organisation
CWI educators
CWI group
Other educators
  • prof.dr.ir. A. Stein (Examinator)
  • dr. F.B. Osei (Supervisor)
Period
24 mar 2024 – 16 apr 2024
Other urls
Level
MSc
ECTS
5.00

Stochastic decision theory

URL
Focus

The goal of the course is to familiarize students with the basic mathematical concepts and computational techniques for stochastic decision and optimization problems, and illustrate the application of these methods in various scenarios.

Type
Course
Organisation
CWI educators
CWI group
Period
1 nov 2023 – 1 mar 2024
Level
MSc