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Zoekresultaten (27)

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

8 april 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

1 oktober 2025

An analysis of the current developments and scenarios for the transition to a fossil-free energy society this century

This century, greenhouse gas emissions such as carbon dioxide, methane, and nitrogen oxides must be significantly reduced. Greenhouse gases absorb and emit infrared radiation that contributes to global warming, which can lead to irreversible negative consequences for humans and the environment. Greenhouse gases are caused by the burning of fossil fuels such as crude oil, coal, and natural gas, but livestock farming and agriculture are also to blame. In addition, deforestation contributes to more greenhouse gases. Of the natural greenhouse gases, water vapor is the main cause of the greenhouse effect, accounting for 90%. The remaining 10% is caused from high to low by carbon dioxide, methane, nitrogen oxides, chlorofluorocarbons, and ozone. In addition, there are industrial greenhouse gases such as fluorinated hydrocarbons, sulphur hexafluoride, and nitrogen trifluoride that contribute to the greenhouse effect too. Greenhouse gases are a major cause of climate change, with far-reaching consequences for the welfare of humans and animals. In some regions, extreme weather events like rainfall are more common, while others are associated with more extreme heat waves and droughts. Sea level rise caused by melting ice and an increase in forest fires are undesirable effects of climate change. Countries in low-lying areas fear that sea level rise will force their populations to move to the higher-lying areas. Climate change is affecting the entire world. An estimated 30-40% o f the carbon dioxide released by the combustion of fossil fuels dissolves into the surface water, resulting in an increased concentration of hydrogen ions. This causes the seawater to become more acidic, resulting in a decreasing of carbonate ions. Carbonate ions are an important building block for forming and maintaining calcium carbonate structures of organisms such as oysters, mussels, sea urchins, shallow water corals, deep sea corals, and calcareous plankton.

Open (Access) Tekst Boek

Folkert Koopman

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

30 april 2025

PFAS – Persistent Micropollutants in the Water Cycle

This report presents the final course material that was developed for the online learning module on persistent micropollutants – PFAS. The document can be used as a stand-alone manual to fully individually follow the entire course, from week to week. It includes the links to the video materials that were developed for the course within the project, fully integrated within the reading material. The course forms a bridge between scientists and professionals working in the water cycle. So far, the information on PFAS has been available in a scattered manner, making it difficult for non-experts to get a complete introductory overview. This course was designed to compile information on PFAS through the water cycle, from production to use and final treatment. The course is built up in an intuitive way: it starts with a general introduction on the origin, chemistry and nomenclature of PFAS; national standards and reported concentrations in the urban water cycle are presented; analytics are explained; the course concludes with technologies for separation and final destruction of PFAS. Each chapter (or week) contains written textbook material, videos and additional reading material. Development of the course has been a co-production between PROMISCES and TU Delft, as TU Delft has an extensive educational support system including a professional recording studio and an expert learning assessment system for engineering education. All materials including videos are freely available for the general public. If the learner wants the full experience of having virtual classmates, get access to all exercises and receive a certificate and credit points after successful completion of the course, one can register at online-learning.tudelft.nl. The course was developed by two environmental engineers with a professional educational background (Mariska Ronteltap and Kim Lompe). The educational videos include knowledge clips (recorded lectures in a studio), videos in laboratories, interviews with PROMISCES project partners and videos on location. To be able to follow the course a basic understanding of chemistry is required; other than that, the course is fully understandable for non-experts. Collaboration between TU Delft, Delfland Water Authority, and the EU Project PROMISCES.

Document

Kim Maren Lompe, Mariska Ronteltap

2 september 2023

Evaluating information & data: Avoiding bias

Avoiding bias Information may have a particular bias towards an ideological, political or commercial viewpoint. A critical analysis of a source as well as of the author’s background is needed to identify evidence of bias. Bias may be the result of a selective representation, but also of selective omission. Suggested.

Website

Erasmus University Library

23 augustus 2023

Practical: Model Fitting and Optimization

To acquire demonstrable knowledge of what logistic regression is To acquire demonstrable knowledge of ML inference in non-conjugate models via gradient descent To acquire demonstrable knowledge on the design and implementation of gradient-based optimization algorithms

Website

HCAIM Consortium

23 augustus 2023

Practical: Linear Regression

To be able to fit a linear regression model using various estimation approaches and fitting methods with the use of Python and suitable packages To be able to use efficient matrix operations in linear regression

Website

HCAIM Consortium

23 augustus 2023

Lecture: Linear Regression

To acquire demonstrable knowledge of what linear regression is To acquire demonstrable knowledge of the various approaches to linear regression: maximum likelihood estimation (MLE), maximum a-posteriori estimation (MAP), Bayesian To acquire demonstrable knowledge of analytical closed form for fitting a linear regression model To acquire demonstrable knowledge of non-linearizing linear models

Website

HCAIM Consortium

23 augustus 2023

Lecture: Model Evaluation

Learners understand the concept of expected predictive performance and generalization Learners understand the concept of model complexity and its relationship with generalization performance Learners are familiar with bias and variance their relationship with underfitting and overfitting Learners have a firm grasp on evaluating binary classification models with the most widely applied metrics

Website

HCAIM Consortium