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HBO/WO

MBO

July 21, 2026

Introduction to Stochastic Hydrology

Hydrologic systems are both complex and extremely heterogeneous in time and space. As hydrological models are simplified versions of reality, their predictions are by definition subject to uncertainty. The field of stochastic hydrology focuses on quantifying this uncertainty along with prediction. This book aims to present an overview of the field of stochastic hydrology at an introductory level. A wide range of topics and methods will be treated, while each topic and method is only treated at a basic level: descriptive statistics; probability and random variables; hydrological statistics and extremes; random functions; time series analysis; geostatistics; forward stochastic modeling; and state prediction and Kalman filtering. The book can be used for a 10-15-week course at third-year undergraduate or first-year graduate level.

Document

Marc F.P. Bierkens

March 31, 2026

CLIL - Music

This is the template for the CLIL music theme

UASDocument

Amy Klipp, Honorine de Keijzer-Davies, Jasmin Back, Noortje Cras

March 30, 2026

CLIL - Cultural Heritage

This is the CLIL art theme: cultural heritage

UASDocument

Amy Klipp, Honorine de Keijzer-Davies, Jasmin Back, Noortje Cras

March 18, 2026

Improving Health Care with Clinical Prediction Models

Clinical prediction models are increasingly used to support health care decisions, helping clinicians estimate disease risk, guide treatment choices, and tailor care to individual patients. At the same time, advances in data science and artificial intelligence have led to a rapid expansion of prediction modelling research. Yet despite this growth, only a small proportion of published models ever reach clinical practice. Improving Health Care with Clinical Prediction Models – From Idea to Impact shows how you can bridge this gap. The book guides readers through the full pathway of prediction modelling in health care: from defining a meaningful clinical problem and identifying existing models to developing, validating, evaluating, and implementing prediction model–based innovations. Combining methodological guidance with real-world clinical examples, the book explains not only how to build robust prediction models but also how to ensure they become useful tools in everyday care. Written in an accessible style and requiring only a basic understanding of statistical modelling, it provides students, researchers, and clinicians with a practical roadmap for turning prediction models into innovations that are useful, usable, and used. What this book helps you do This book takes you through the complete process of clinical prediction modelling, from the first idea for a model to its implementation in health care practice. Along the way, readers learn how to: Define a meaningful clinical problem and identify where prediction models can improve health care Find and critically evaluate existing prediction models before deciding to develop a new one Handle missing data using methods such as multiple imputation Develop and validate prediction models using established regression approaches Apply advanced regression and artificial intelligence methods for clinical prediction modelling Select models with real-world impact potential and translate them into practical decision tools Evaluate the impact of prediction model–based innovations using decision modelling and empirical studies Implement prediction model–based innovations in clinical practice and new health care settings

Open (Access) Text Book

Luc Smits, Sander van Kuijk, Laure Wynants

2026

Modelling of Biobased Production Systems

Open and interactive book for the course Modelling of Biobased Production Systems, a mandatory MSc course for the programme Biosystems Engineering, and a restricted optional course for the programme Biobased Sciences at Wageningen University.

Website

Daniel Reyes Lastiri, Rachel van Ooteghem, Tim Hoogstad

December 30, 2025

Lessons Learned

Agent-based modelling (ABM) is one of the most widely applied computational modelling research techniques in archaeology, because it is well suited to the questions asked by archaeologists. However, the access to vocational training for ABM is limited. In this paper we present the Open Educational Resources (OER) that we produced in an international cooperation. For this purpose, we created online and open tutorials for ABM for archaeologists. In addition, how-to guides and support material were created, both for teachers and students. The materials adhere to international (European) standards in relation to education and the Digital Skills Passport for archaeology. The teaching materials have been well tested using a diverse group of archaeologists during various international conferences and meetings. It was shown that the knowledge and skills of the participants in relation to ABM improved. In addition, the demand for the teaching materials and the workshops was high, ensuring that the tutorials on ABM will be used in the future.

Document

Ronald Visser, Karsten Lambers, Kenneth Aitchison, Annemarie Jutte, James Douglas Rocks-Macqueen, Laura van der Knaap, Iza Romanowska, Tom Brughmans, Jeroen Linssen, Adam Pažout

December 19, 2025

CLIL - Welcome to the Fine Arts

This page will help direct users to a CLIL lesson about the Fine Arts.

UASDocument

Amy Klipp, Honorine de Keijzer-Davies, Jasmin Back, Noortje Cras

December 19, 2025

CLIL - fine arts - ART

This is the template for the CLIL fine arts - Art lessons

UASDocument

Amy Klipp, Honorine de Keijzer-Davies, Jasmin Back, Noortje Cras

December 15, 2025

Systems Thinking Pressure Cooker

What – This pressure cooker is an introduction to systems thinking. This pressure cooker can be used to quickly familiarize a group of people with what the characteristics of a system are and have them experience various examples of using systems thinking to explore a topic or question. For whom – The format can be used (and adjusted) for a team of teachers that are not yet familiar with systems thinking, as well as a group of students (all levels; any group size). Why – Guided training in integration of systems thinking in a research project. How long – Approximately 2-2,5 hours in class and a 10 minutes pre-class video.

Presentation

Programma Interdisciplinair Onderwijs

September 30, 2025

VR environment for the course "Lieux de Mémoire"

This is a 3D model of Troy, produced for the course "Lieux de Mémoire. Space, Story and the Construction of Memory". The model was created by the 4D Research Lab of the University of Amsterdam for the project 'Virtual Past Places' in collaboration with course teacher Gert Jan van Wijngaarden. This model contains three scenes based on excavations in Troy, each with a new added phase of reconstruction: the first being the archaeological area, the second the architectural reconstruction and the third being the addition of myths and stories to these finds. A fictional central area forms the fourth scene, with the purpose of giving entry to the other scenes. This model is accessible as a VR room using Hubs Cloud software (virtualplaces-uva.eu). For reproducability and reuse, consult the manual at https://doi.org/10.21942/uva.30490373 and follow the instructions to set up your own Hubs Cloud instance. For the relevant dataset, please use the link to the Zenodo deposition. Funding and context Virtual Past Places has been made possible by a grant, the 'Stimuleringsregeling Online Onderwijs' from the Ministry of Education, Culture and Science (Onderwijs, Cultuur en Wetenschap, OCW), coordinated by SURF, the cooperative association of Dutch educational and research institutions. Virtual Past Places includes open access publication of all developed teaching materials as Open Educational Resources, the development of training materials, and the organisation of inspiration and counselling sessions for peers. In case you're interested in the results of this research project, and/or participate in it, please contact J.Waagen@uva.nl.

Virtual Reality

Gert Jan van Wijngaarden, Tijm Lanjouw, Jitte Waagen, Markus Stoffer