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Zoekresultaten (10)

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

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 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

15 oktober 2024

The Delft Method for System Dynamics - Modelling Exercises

These modelling exercises are part of the TU Delft Open textbook "The Delft Method for System Dynamics". The Delft Method for System Dynamics (SD) is a proven method of learning basic System Dynamics. The method focusses on learning by doing: first you try to make an exercise, and if you do not understand something or do not know something, then you can look it up in the theory part of the book. The book contains theory exercises on topics like causal loop diagramming, delays, and how to motivate why SD is appropriate. The book also contains modelling exercises that show students how to build low to medium complexity models, and how to use these quantitative models for scenario or policy analysis. The theory chapters cover all phases of the modelling cycle: problem articulation, conceptualisation, formulation, evaluation (including validation and scenario analysis), and policy analysis. This book is intended for students and educators in large or small System Dynamics courses, and for motivated students that want to learn SD in their own pace.

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Willem Auping, Floortje d’Hont, Merla Kubli, Patrick Steinmann, Jill Slinger, Floris van der Heijde, Erik Pruyt, Els van Daalen, Wil Thissen

23 augustus 2023

Lecture: Inference and Prediction

Learners understand the basic idea of Bayesian thinking, Learners are familiar with ML and MAP inference with various distributions, Learners understand the algorithmic aspects of ML/MAP inference and prediction, Learners understand the idea of Bayesian model averaging and probabilistic predictions.

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HCAIM Consortium

23 augustus 2023

Tutorial: Inference and Prediction

Learners understand the basic idea of Bayesian thinking, Learners are familiar with ML and MAP inference with various distributions, Learners understand the algorithmic aspects of ML/MAP inference and prediction, Learners understand the idea of Bayesian model averaging and probabilistic predictions.

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HCAIM Consortium

23 augustus 2023

Interactive session: Risk & Risk mitigation

Recognize, analyze and discuss the necessity and the role of security testing in AI. Employ documents, such as the AI Act, to classify use cases into risk categories. Discuss in-depth and with common European vocabulary on AI risk and how can AI be designed safely and benevolently, in ways that will not expose humans to unacceptable risks of harm, even when risky behaviour may advance a system goal. Classify the obligations of providers and users in relation to AI risk management. Discuss the requirements for high-risk AI systems as per the AI Act. Elaborate and recognize specific risks and risk taxonomies, relevant throughout the different stages of the AI lifecycle.

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HCAIM Consortium

1 januari 2023

Opdrachten en uitwerkingen diagnostische waarde master fysiotherapie

Opdrachten en uitwerkingen over het onderwerp diagnostische waarde van testen, te gebruiken als zelfstudie. Gericht op het begrijpen van de kennis over diagnostische waarde. In de master opleiding fysiotherapie maken studenten deze opdrachten thuis als voorbereiding op het werkcollege. Tijdens het werkcollege worden de opdrachten waar vragen over zijn besproken met medestudenten en docent.

Document

Marielle Jans, François Maissan

1 januari 2022

Challenge / Oefenopdracht 'Spin Snout 2x2 tabel'

Dit is een oefenopdracht waarbij aan de hand van een artikel vragen gesteld worden over sensitiviteit, specificiteit, 2x2-tabel, spin, snout, likelihood ratio's.

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Blokplanningsgroep (BPG) 4

20 september 2019

6. Risk Assessment & Regulation

This chapter is the sixth chapter of 'Toxicology, an open online textbook' . The textbook aims at covering the field in its full width, including aspects of environmental chemistry, ecotoxicology, toxicology and risk assessment. The chapter is about the essence of risk assessment, ecosystem services and protection goals, predictive and diagnostic risk assessment approaches and tools, regulatory frameworks, risk management and risk communication and about risk perception.

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Kees van Gestel