Go to homepage
Find educational resourcesKnowledge & expertiseCommunities
NL|EN
Privacy policyParticipating institutions
Creative CommonsCreative Commons AttributionSURFFunded by the European Union

Filter

Search results (38)

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

June 30, 2026

Interactive video - using pipettes

This video explains the use of six different pipettes, regular -, or multichannel pipette, a pipetteboy, repeating pipette, positive displacement pipette or balloon pipette. Interactive elements can be applied to allow students to choose which pipettes to learn more about. Use the attached H5P file to create an interactive video.

Video

Marjo de Graauw, Maayke van Ruler

June 17, 2026

AgriLemma 2.0: A serious game for exploring dilemmas in agriculture

In AgriLemma, you are a farmer in Europe managing your own farm across 8 seasons. You grow six types of crops — potatoes, sugar beets, rapeseed, corn, wheat, and chickpeas — each requiring resources such as seeds, water, nutrients, and workers. Players must run, invest in, and improve their farm with sustainable technologies while balancing competing priorities and navigating uncertainties like weather events and pest attacks. The objective is to maximize overall farm health, which is determined by three dimensions: environmental health (positive ecological impact), social health (worker satisfaction), and financial health (farm profitability). Players must strategize across all three dimensions simultaneously — decisions that boost profit may come at an environmental cost, and vice versa. The game makes these trade-offs tangible, encouraging reflection on what sustainable farming really requires. ------------------------------ Learning objectives: · Experiment with different strategies — to operationalize and adapt an approach under pressure, and to reflect on how well it held up. · Expose students to issues of risk management — to plan, control, and explain the reasoning behind in-game choices relating to sustainability, soil conservation practices, integrated crop management, weeding, and pest management, and to learn how to respond when conditions change. · Experience the complexity of decision-making — to take into account weather and policy uncertainties, sustainability pressures, economic realities, and the broader context in which farm decisions are made. --------------------------------Practical information: · Format: Board game (physical/ print-and-play) · Players: 2-4 players (extendable to 8 by playing in teams of 2) · Duration: 3 hours, including onboarding and debrief · Level: Higher education / Stakeholder engagement · Language: English --------------------------------Credits: AgriLemma was originally designed as part of the WATERAGRI project. The second version, including a full redesign of the graphics, was developed with funding support from the TU Delft Open Science Programme course "Civic Engagement in Action: Empowering Researchers and Educators to Make an Impact". Game design: Dr. ir. Aashna Mittal - TU Delft, Faculty of Technology, Policy and Management Graphic design and illustration: Gracia Bovenberg-Murris and Michelle de Smit – TU Delft GameLab Note on image generation: The images in the tech cards and the border of the main game board were created using AI-generated imagery. The constructed wetlands card image is also AI-generated. All other cards and box art are hand-drawn or created in Adobe Illustrator. Note on usability: The print-and-play version of the game has been optimized for office printing.

Document

Aashna Mittal, Gracia Bovenberg-Murris, Michelle de Smit

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

September 1, 2025

Introduction to AI at HAN

This module is intended for all staff and students at HAN. It is also available to interested parties outside HAN. There is also a Dutch version available called: Kennismaken met AI in de HAN.

Website

Expertiseteam Digi- en Datavaardigheid

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

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.

Document

Hans van Oudheusden, Britta Stoelinga

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 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.

Document

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.

Document

Hans van Oudheusden, Britta Stoelinga