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.
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.
The courses they teach are listed below in chronological order, starting with the earliest upcoming course.
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.
This course focuses on the algorithmic aspects of stochastic operations research, with a particular emphasis on Markov processes and queueing theory. It explores both exact and approximate solutions for performance measures, such as the mean and distribution of customer numbers and sojourn times in various systems.
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.
In this course, we will address performance-related challenges and solution methods in communication networks. To this end, we focus on performance modeling, traffic management, QoS provisioning and capacity planning for both wired and wireless/mobile communication networks.
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.
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.
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.
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).
In this course we will discuss several such techniques and illustrate them on more advanced queueing models such as GPS queues, DPS queues, and bandwidth-sharing networks.
