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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

April 8, 2026

ACA-bot

ACA-bot is an engaging chatbot designed for Automated Conversational Assessment (ACA). Drawing inspiration from traditional oral exams, this text-based conversational agent transforms assessment into a dynamic learning experience. It supports both formative and summative evaluation by offering students personalised feedback and guidance at every step of their learning journey. The first ACA-bot prototype focuses on assessing students’ understanding of basic statistical concepts, but its flexible design allows for easy adaptation to a wide range of subjects and learning contexts. Through interactive dialogue, students can practise explaining ideas clearly under exam-like conditions, apply their knowledge to new and challenging questions, and refine their reasoning as they respond to follow-up prompts. They gain valuable insights into their own understanding, identify areas for improvement, and gradually build confidence for both oral and written assessments. For educators, ACA-bot offers a powerful way to scale oral examinations and enhance formative assessment without increasing workload. It automates parts of the assessment process, provides structured and actionable insights into student performance, and opens the door to more personal, interactive feedback at scale. By combining the strengths of conversational AI and educational assessment, ACA-bot turns evaluation into a collaborative, insightful process. It empowers students to think aloud, reason more effectively, and grow, while giving educators a smarter, more innovative way to understand and support learning. ACA-bot is een slimme en inspirerende chatbot die onderwijs en Artificial Intelligence samenbrengt. Geïnspireerd door het klassieke mondelinge examen tilt deze tekstgebaseerde gespreksagent Automated Conversational Assessment naar een nieuw niveau. Studenten krijgen via natuurlijke gesprekken directe, persoonlijke feedback en begeleiding, waardoor leren en toetsen samenvloeien in één boeiende ervaring. Het prototype van ACA-bot is ontwikkeld om kennis over statistiek te beoordelen, maar dankzij het flexibele ontwerp kan het systeem eenvoudig worden aangepast aan andere vakgebieden en toepassingen. Tijdens interactieve dialogen leren studenten helder uitleg geven, hun kennis toepassen op nieuwe vragen en hun redenering aanscherpen. Ze ontdekken waar hun begrip nog verdiept kan worden en groeien zichtbaar in zelfvertrouwen — waardevolle voorbereiding op zowel mondelinge als schriftelijke examens. Ook voor docenten biedt ACA-bot een slimme oplossing. Het maakt mondelinge toetsing schaalbaar, ondersteunt formatieve beoordeling via gesprek, en vermindert de werkdruk door delen van het beoordelingsproces te automatiseren. Bovendien geeft het gestructureerde inzichten in de voortgang en denkwijze van studenten, waardoor elke dialoog bijdraagt aan beter onderwijs. ACA-bot laat zien hoe Automated Conversational Assessment het leren persoonlijker, interactiever en effectiever maakt. Studenten denken hardop, verkennen hun eigen begrip, en verbeteren met vertrouwen — terwijl docenten op een innovatieve, datagedreven manier inzicht krijgen in hoe kennis werkelijk wordt begrepen.

App

Aki Härmä, Julie Bauer

October 1, 2025

Sustainable EU Economy: an interactive Textbook for Business Students

Dear Reader, Welcome to Sustainable EU Economy. This book is more than a textbook—it is an invitation to explore how the European Union shapes business, society, and sustainability in today’s interconnected world. My hope is that it will inspire you to think critically, engage actively, and see how Europe’s vision for a climate‑neutral and inclusive future connects directly to your own journey as a student and professional. This book was created to guide you through one of the most dynamic and influential regions in the world—the European Union. With its single market of over 450 million consumers and policies that shape global standards, the EU is not only a trading bloc but also a laboratory for resilience, sustainability, and innovation. This book will help you see the EU not just as an institution, but as a living system that directly impacts business, society, and the environment. You will explore how Europe is responding to challenges such as climate change, digital transformation, and shifting geopolitics, and how these responses create opportunities for businesses and professionals like you. This textbook is not a static resource but an interactive digital reference, designed to evolve alongside the changing study of European integration and sustainability. By combining case studies, discussion prompts, and applied exercises with live seminar content and guest lectures, it adapts to new research, policy debates, and global challenges. In this way, you may explore the EU not only as a historical and political project, but also as a dynamic economic system that continually reshapes business strategy, trade, and innovation. About the Jean Monnet Chair in Sustainable EU Economy: Awarded by the European Commission to Dr. Beata Kviatek and hosted by Hanze University of Applied Sciences, the Jean Monnet Chair in Sustainable EU Economy represents the first such Chair at a Dutch university of applied sciences. Co‑financed by the Erasmus+ Programme and Hanze University, the Chair advances knowledge of the EU’s transition toward a climate‑neutral, resource‑efficient, and socially inclusive economy. It promotes excellence in teaching and research, integrates sustainability priorities into business education, and fosters dialogue among academia, policymakers, businesses, and society. By producing impactful studies on green finance, energy transition, and corporate responsibility, and by linking local initiatives with EU goals, the Chair provides a vibrant platform for debate and engagement on Europe’s sustainable future.

Open (Access) Text Book

Beata Kviatek

September 1, 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) Text Book

Shilpa Samplonius-Raut

July 1, 2025

AI as a science - course manual

AI as a Science aims to highlight how research involving “artificial intelligence” can be considered scientific, and what that means for us as scholars engaged in this — and related — areas of study. During the course, we will explore answers to questions such as: What is AI? What role do scientists play in the development of AI? And vice versa: what role do AI researchers play in the scientific investigations of computation, artificial intelligence, and intelligence more broadly? Do such roles come with responsibilities and ethical duties? We will explore these questions dialogically (i.e., through dialogue, discussions, and presentations), as well as through lectures. Perspectives will include critical, historical, sociological, and philosophical angles. We will touch on: The history of AI, going as far back as ancient Chinese and Greek civilizations; future projections, including the possibility of another "AI winter." Ultimately, you will aim to answer for yourselves: Is AI a science? Can it be? Will it be? The course will be examined through: Group presentation – You will be split into teams to create a presentation (see Presentation). The presentation combines: Group collaboration, An individual (or more than one person’s) presentation (10 minutes max). Final essay – You may choose a topic related to the course and aligned with your background or interests (see Essay). The essay will take the form of a literature review or journal-style article, aiming to: Deepen and/or broaden your knowledge on one or more topics from the course, Allow you to zoom in or out and develop your own unique perspective. Learning Goals: AI as a Science aims to teach you — and for you to teach yourselves — how to: Define science and AI, critically and in your own words. Understand the historical context of AI: When did AI or AI-like disciplines and ideas emerge? Understand the current state of AI and explore possible futures: Is time a flat circle when it comes to recurring “AI winters”?

Document

Olivia Guest

June 6, 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

June 1, 2025

A Case Solving Guide with Videos

Looking to bring your business courses to life with real-world challenges and active learning? Discover our free, open-source experiential learning toolkit—a rich collection of video-based teaching resources built around solving business cases. This experiential approach focuses on learning by doing: students tackle real-world problems through case-solving, developing essential skills in critical thinking, strategic management, and leadership. Included in the toolkit are video-based explanations of the case-solving process and problem-based learning materials. This guide provides you with a full case-driven course of 8 weeks with interdisciplinary teaching videos; spread across weekly sessions of 100 minutes including a final student competition. All sessions are supported by a detailed lecture plan, a variety of cases, assignments, evaluation forms, and other supporting materials. Designed for undergraduate business education, this toolkit supports innovative pedagogy, combining interdisciplinary thinking with hands-on case analysis. Perfect for educators aiming to teach business through real problems, not just theory.

Document

Britta Stoelinga, Hans van Oudheusden

June 1, 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

June 1, 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

June 1, 2025

Week 1: An Introduction to Case Solving and Case Competitions

Around 4 captivating videos, a lesson has been built with specific learning objectives, activities, and supporting materials for students. The core principles of case solving are being introduced—a hands-on, engaging approach to addressing real business challenges. Students learn how to think like consultants, working in diverse teams to analyze complex problems and develop practical solutions. The case-solving process follows a structured cycle: understanding the case, analyzing root causes, generating solutions, planning implementation, and presenting recommendations. Alumni reflect on how these experiences strengthened their confidence, teamwork, and decision-making skills—benefits that continue to serve them in their careers. By the end of this introduction, students will grasp what business cases are, how to approach them strategically, and how to collaborate effectively in teams.

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Hans van Oudheusden, Britta Stoelinga