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Zoekresultaten (190)

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HBO/WO

MBO

1 juni 2026

Quality Model for Open Teaching Materials for Open Science Education

An Open Educational Resources Quality Model used for designing open teaching materials for open science education. The Quality Model is available in two versions. One general version cu and a version tailored to Utrecht University's context and the platform EduSources. The Quality Model can be used to develop high quality OER or to evaluate the quality of existing OER.

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Annelies Pieterman-Bos, Marie-Louise Goudeau, Ruud Dielen

13 augustus 2026

Process – Quality checks in the digital educational resources cycle

This document describes the quality assurance process for digital educational resources at HAN and the elements required to make that process reliable, repeatable, and practical. It includes 1. The procedure for quality assurance of digital educational resources; 2. The HAN quality model for digital educational resources; 3. Guidelines and a template for (peer) review of digital educational resources; 4. An explanation of how to apply the quality model and (peer) review within the educational resources cycle.

Document

Marijn Post, Marja Versantvoort

9 maart 2019

Azoux 3D model man

This is a 3D scan of an Azoux model made by using a Space Spider

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Auteur onbekend

5 november 2024

Network quality control

The aim of computing a geodetic network is to determine the geometry of the configuration of a set of points from spatial observations (e.g. GPS baselines and/or terrestrial measurements). The configuration of points usually consists of newly established points, of which the coordinates still need to be determined, and already existing points, the so-called control points, of which the coordinates are known. Network quality control deals with the qualitative aspects of network design, network adjustment, network validation and network connection. By means of a network adjustment the relative geometry of the new points is determined and integrated into the geometry of the existing control points. Prior to the network adjustment, the geometry of the network is designed on the basis of precision and reliability criteria. The adjustment and validation of the overall geometry can be divided in two phases, the free network phase and the connected network phase. In the free network phase, the known coordinates of the control points do not take part in the adjustment and validation. The possible use of a free network phase is based on the idea that a good geodetic network should be sufficiently precise and reliable in itself, without the need of external control. Moreover, it allows one to validate the quality of the external control. In the connected network phase, the geometry of the free network is integrated into the geometry of the control points. Adjustment and validation in this second phase differs from the free network phase. The adjustment in the second phase is a constrained connection adjustment, since it is often not practical to see the coordinates of the control points change every time a free network is connected to them. For the validation of the connected network however, the unconstrained connected adjustment is used as input. This allows one to take the intrinsic uncertainty of the coordinates of the control points in the connection phase into account. The goal of this introductory text on network quality control is to convey the necessary knowledge for designing, adjusting and testing geodetic networks. For the purpose of network design, the precision and reliability theory is worked out in detail. This includes the minimal detectable biases and the bias-to-noise ratios. For the purpose of the network adjustment, the principles of unconstrained-, constrained-, and minimally constrained least-squares estimation, are treated. For the network testing, the principles of hypothesis testing are presented and worked out for the different network cases. For the free network phase this includes the overall model test, the w-test, and the data snooping procedure. For the connected network phase, it includes the T-test, with an emphasis on the detection and identification of errors in the control points.

Open (Access) Tekst Boek

Peter Teunissen

1 juni 2018

Ebook Circulair Organiseren

Dit is een ebook over het organiseren van de circulaire economie. Het is een werkboek geschikt voor ondernemers, zij kunnen zelf aan de slag om een circulair business model te formuleren. Het boek bestaat uit twee delen: het eerste deel is een leesboek met informatie en inzichten aangaande de circulaire economie. Het tweede deel is het werkboek zelf, waarin de lezer aan de hand van enkele vragen wordt uitgenodigd om zelf een circulair business model te maken.

Wo, HboDocument

Dr. Jan Jonker, ir. Ivo Kothman, Dr. ir. Niels Faber, ir. Naomi Montenegro Navarro

16 februari 2020

3D Anatomy Lyon: The regions of the vertebral column and the spinal curves - video of 3D model

In this video the anatomy of the spinal column is shown and explained. The spinal column supports the trunk and is therefore very solid. It is however also very mobile to orient the trunk, head an upper limbs. These two qualities are contradictory. This video is in the "3D Anatomy Lyon" series from the Université Claude Bernard in Lyon, France. NOTE: THIS VIDEO IS UNDER A NON-DERIVATIVE LICENSE. THIS MEANS THAT IF YOU REMIX, TRANSFORM, OR BUILD UPON THE MATERIAL, YOU MAY NOT DISTRIBUTE THE MODIFIED MATERIAL.

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Patrice Thiriet, Olivier Rastello, Nora van Reeth, Christophe Batier

20 juni 2024

Testing theory: an introduction

These lecture notes are a follow up on Adjustment theory. Adjustment theory deals with the optimal combination of redundant measurements together with the estimation of unknown parameters. There are two main reasons for performing redundant measurements. First, the wish to increase the accuracy of the results computed. Second, the requirement to be able to check for mistakes or errors. The present book addresses this second topic. Although one always will try one's best to avoid making mistakes, they can and will occasionally happen. It is therefore of importance to have ways of detecting and identifying such mistakes. Mistakes or errors can come in many different guises. They could be caused by mistakes made by the observer, or by the fact that defective instruments are used, or by wrong assumptions about the functional relations between the observables. When passed unnoticed, these errors will deteriorate the final results. The goal of this introductory course on testing theory is therefore to convey the necessary knowledge for testing the validity of both the measurements and the mathematical model. Typical questions that will be addressed are: 'How to check the validity of the mathematical model? How to search for certain mistakes or errors? How well can errors be traced? And how do undetected errors affect the final results?' The theory is worked out in detail for the important case of linear(ized) models. Both the parametric form (observation equations) and the implicit form (condition equations) of linear models are treated. As an additional aid in understanding the basic principles involved, a geometric interpretation is given throughout. Attention is also paid to the performance of the testing procedures. The closely related concept of reliability is introduced and diagnostic measures are given to determine the size of the minimal detectable biases. In this introductory text the methodology of testing is emphasized, although various examples are given to illustrate the theory. The methods discussed form the basis for geodetic quality control and they provide the ingredients for the formulation of guidelines for the reliable design of measurement set-ups.

Open (Access) Tekst Boek

Peter Teunissen

16 maart 2020

Michigan - BlueLink

Michigan - BlueLink. A high quality comprehensive educational anatomy website covering the complete undergraduate anatomy, created by Dr. B. Kathleen Alsup and Dr. Glenn M. Fox of the Division of Anatomical Sciences at the University of Michigan Medical School. It contains: hundreds high quality dissection photo's, labeled and unlabeled, all downloadable, hundreds high quality labeled anatomical drawings, all downloadable, over 300 video lectures (10 sec - 14 min.), over 100 3D models of bones, the brain and some organs, downloadable, under CC BY NC ND license, 30 dissection lab manuals with dissection photo's (LabLinks), 7 sets with each 15-25 labeled radiology images, 30 self-test pdf files with in each 10 to 30 click-to-reveal labeled dissection photo's (QuizLink), all downloadable, 30 self-test sets with each 15-80 textual questions with answers with extensive feedback (Practice Questions), 10 self-test sets with each 15-25 dissection photo's with click-to-reveal structure name questions (Practice Practicals) All images, videos, 3D models, questions or files can be individually linked directly. THIS SITE IS NOT UNDER A CREATIVE COMMONS LICENSE, but it states you are allowed to use materials from it for educational purposes with credit and notification to authors. Also, as with all online resources, you are free to link to the items on the site.

Website

B. Kathleen Alsup, Glenn Fox, BlueLink team

3 maart 2020

Virginia - Website Digital Histology

A comprehensive digital histology website with concise tutorials containing hundreds of high-quality histological images, a textbook and quizzes, covering the entire human histology in a clear manner. It is - to the knowledge of AnatomyTOOL - presently the only well web-accessible histology resource of this coverage and quality that is completely licensed under an Creative Commons license (CC BY NC SA). It is highly useful for students to learn the bulk of the histology knowledge for medical school . Created by the Virginia Commonwealth University School of Medicine and the ALT Lab at Virginia Commonwealth University.

Website

Alice S. Pakurar

23 augustus 2023

Practical: Applying and evaluating privacy-preserving techniques

Gain practical skills to mitigate privacy leakages by applying Differential Privacy How to anonymize datasets with Differential Privacy How to train ML models with Differential Privacy Understanding the difference between data anonymization and privacy-preserving model training Study the trade-off between privacy preservation (anonymization) and utility (model quality, data accuracy)

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HCAIM Consortium