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HBO/WO

MBO

21 juli 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

16 juli 2026

Handleiding AI-bewust onderwijsontwerp voor hbo-docenten

De handleiding AI-bewust onderwijsontwerp voor hbo-docenten helpt docenten en opleidingsteams om bestaand onderwijs opnieuw te ontwerpen voor een context waarin generatieve AI breed beschikbaar is. De centrale vraag is niet hoe AI kan worden tegengehouden, maar welke kennis, vaardigheden en professionele afwegingen studenten zelfstandig moeten blijven beheersen. De handleiding biedt een praktische herontwerpcyclus. Docenten onderzoeken eerst de invloed van AI op leeruitkomsten, opdrachten en toetsing. Daarna bepalen zij welk bewijs nodig is om beheersing zichtbaar te maken. Zij kiezen bewust welke rol AI krijgt en ontwerpen passende beoordelingscriteria, validatiemomenten, leeractiviteiten en begeleiding. Het leerdoel en de professionele oordeelsvorming van de student blijven steeds centraal staan. AI mag het denken ondersteunen, maar niet vervangen. Daarom verschuift de aandacht van alleen het eindproduct naar het denkproces, de gemaakte keuzes en de zelfstandige toepassing van kennis in nieuwe situaties. De methodiek sluit aan bij onder meer constructive alignment, backward design en het ADDIE-model. Praktijkvoorbeelden, ontwerpvragen en concrete werkvormen maken de aanpak direct toepasbaar. Zo ondersteunt de handleiding hbo-opleidingen bij het ontwikkelen van betekenisvol, valide en toekomstgericht onderwijs waarin studenten verantwoord leren handelen met én zonder AI.

Document

Hans Rader, Michael Hendriks

5 mei 2026

Collaboration and Personal Development

In this reader, a teaching programme (assignments, underlying models and theories) is described to develop collaborative skills in a transdisciplinary-oriented educational context in between science and society. The focus lies on creating awareness about mechamisms that promote pleasurability, effectiveness and responsibility in professional collaborative practices. The MSc course for which it was created, is called Academic Consultancy Training, taught at Wageningen University and Research

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Marjan Wink, Michel Kropman, Valentina Tassone

3 maart 2026

Crash course SPSS syntax

Standalone assignment. A very basic, step-by-step introduction to SPSS and SPSS syntax. Uses data from the European Social Survey as example.

Document

Alex Lehr

14 september 2025

GenAI Literacy presentations

These PowerPoints are designed to provide teachers the means to improve their students' AI literacy. The presentation is divided into seven themes: 1: What is Generative AI? 2: How does Generative AI work? 3: Prompting 4: GenAI and hallucinations (in development) 5: GenAI and bias 6: GenAI and sustainability 7: Gen AI and privacy/ bias Each topic includes a section focusing on traditional knowledgetransfer and a simple, active learning method. This material is licensed under CC BY-NC-SA 4.0. Created by the Teaching and Learning Centre (TLC) of UvA Centraal in collaboration with the TLC of the Faculty of Medicine.

Presentatie

Jesper Pool, Remco Jongkind, Sophie van Dijke, Job Radelaar, Frans Aris, Bjarne de Beer, Palina Vasilyeva, Ivar Kolvoort

1 september 2025

Economics in the Digital Age: Insights and Applications

This book serves as an essential resource for both undergraduate and graduate programs due to its comprehensive approach to digital economics: Theoretical Integration: It integrates classical economic theories with the digital economy, demonstrating how traditional principles apply to new digital realities. Practical Frameworks: It provides actionable insights for analyzing digital market trends and monetization strategies, relevant for students, managers, and business professionals alike. Case Studies and Real-World Applications offer concrete examples of digital transformations, making complex concepts more accessible and useful for research and coursework. Advanced Analytical Tools: The book helps students develop the analytical skills needed to evaluate digital business strategies, market dynamics, and the broader economic impact of digital technologies. For professionals, this book provides strategic guidance on navigating the challenges and opportunities of the digital economy. By understanding the core economic principles behind digital business models, managers can make informed decisions on everything from digital marketing to product development, all while anticipating and mitigating risks like cybersecurity threats or regulatory changes.

Open (Access) Tekst Boek

Shilpa Samplonius-Raut

6 juni 2025

Multilevel modeling for social scientists

The course builds on the knowledge and skills acquired in the previous methods courses. The course will introduce students to multivariate analyses of nested data using multilevel modeling techniques. The course focuses on the theory and application of fixed and, in particular, random effects models. Using data from the European Social Survey, the students will learn how to estimate and interpret such as models using Stata.

Document

Alex Lehr

1 juni 2025

Week 3: Creating and Selecting Options

Around this video, a lesson has been built with specific learning objectives, activities, and supporting materials for students. The next steps in the case-solving cycle are being explained: generating and selecting solutions. Students explore ideation techniques like brainwriting and mind mapping to develop creative, practical ideas. Ground rules help keep the process focused, collaborative, and open. To evaluate ideas, the SFA framework (Suitability, Feasibility, Acceptability) is used to shortlist the most promising options. A real-world example shows how these tools lead to well-founded decisions. Finally, students learn to apply a decision-making matrix to compare options using relevant criteria. This lesson helps students move from insights to action by developing structured, team-driven solutions.

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Hans van Oudheusden, Britta Stoelinga

1 juni 2025

Week 5: The special Role of Finance

Around an informative video, a lesson has been built with specific learning objectives, activities, and supporting materials for students. In clear language and step by step, it is explained why finance plays an important role in the case-solving process. Since students often find this challenging, a separate lesson is dedicated to this managerial area. Students learn how to integrate financial reasoning into their analysis and recommendations, even when limited data is available. Key topics include identifying revenue streams, estimating costs, projecting financial outcomes, and evaluating risk. With a focus on practical tools like forecasting, ROI, and risk matrices, this lesson helps students build confidence in using finance to strengthen their case arguments and support strategic decisions.

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Hans van Oudheusden, Britta Stoelinga

1 juni 2025

Week 2: Analysing a Case

Around an inspiring video, a lesson has been built with specific learning objectives, activities, and supporting materials for students. Essential case-solving techniques to help students tackle complex real-world problems, are being introduced and trained. The instructors explain that effective analysis goes beyond listing facts—it’s about uncovering insights that address the “so what” question. Key methods covered include critical thinking, analytical frameworks (like VRIO, Porter’s 5 Forces, and GAP analysis), and the 5 WHY technique for identifying root causes. Using a concrete case example, they show how a deeper issue—ineffective communication—was the true cause of low user engagement. By the end of this lesson, students understand how to structure their analysis, avoid common mistakes, and use insights to drive solution development.

Document

Hans van Oudheusden, Britta Stoelinga