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HBO/WO

MBO

June 16, 2026

Open Education menu

We created a ready-to-use menu with 17 different Open Education practices to be implemented in your education. With each practice turned into its own dish and recipe, you can easily see how the practice can be implemented, with its difficulty level and examples. The goal is to provide you with ideas and examples on how to implement Open Science practices into your education. Or use the menu as a starting point for conversations about open educational practices with colleagues! Already an expert? The menu can also be used for a 1-hour workshop on Open Educational practices for others interested in Open Science. Let the participants select a dish from the menu they are interested in, and help them to adapt the dish so they can turn their own ideas into real practices.

Presentation

Jeroen Bosman, Ilcan Çiftcibaşi, Anneke van der Dussen, Ruud Dielen, Marie-Louise Goudeau, Pim Huijnen, Susanne Kirchhoff, Marc van Mil, Hanne Oberman, Annelies Pieterman-Bos

March 3, 2026

Crash course SPSS syntax

Standalone assignment. A very basic, step-by-step introduction to SPSS and SPSS syntax. Uses data from the European Social Survey as example.

Document

Alex Lehr

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

September 3, 2024

Inzicht: Academische Vaardigheden voor Bouwkundigen, 2e editie

Het boek Academische Vaardigheden voor Bouwkundigen geeft een verdiepend beeld van bouwkunde als wetenschappelijke discipline, gaat expliciet in op de relatie tussen ontwerp en onderzoek en richt zich met name op praktische vaardigheden die bouwkundestudenten ontwikkelen gedurende hun bacheloropleiding in Delft. Het boek is opgebouwd uit vier delen. Deel A richt zich op de plaats van bouwkunde binnen de wetenschap. Deel B richt zich op basisvaardigheden: algemene academische vaardigheden voor bouwkundigen. Deel C diept specifieke bouwkundige methoden van onderzoek uit. Deel D, het laatste deel, is enerzijds gericht op de praktijk en anderzijds op reflectie. Door deze brede opzet kan het boek niet alleen direct gebruikt worden door studenten en docenten in de leerlijn Academische Vaardigheden, maar juist ook in de andere leerlijnen en modulen. Tevens is het boek een naslagwerk voor andere Bouwkunde- en Architectuuropleidingen in binnen- en buitenland dat inzicht geeft hoe wij binnen de faculteit Bouwkunde van de TU Delft aankijken tegen het vakgebied en welke academische vaardigheden daar op bachelorniveau bij horen.

Open (Access) Text Book

MaartenJan Hoekstra, Louis Lousberg, Remon Rooij, Willemijn Wilms Floet, Sake Zijlstra

August 10, 2023

Research Data Management: High Performance Computing

SURFsara: High Performance Computing Erasmus University Rotterdam provides its faculty with advanced computing power to facilitate work on data with EUR colleagues as well as with colleagues from other universities. The SURFsara High Performance Computing Service meets the professional needs of researchers running large jobs or many jobs on a computer. Overview The Lisa system is a cluster computer meant for people who are in need of large computing capacities (when a normal desktop pc isn't powerful enough), but do not need the facilities of a real supercomputer. Obtaining an account on the Lisa system The Project Leader of the project (the applicant), downloads the Application form EUR for resources at SURFsara, fill it in and return it for EUR approval by e-mail to edsc@eur.nl Suggested. Support.

Website

Erasmus University Library

August 10, 2023

Research Data Management: Open Data

What is Open Data? Open Data is data that anyone can access, use and share. Open Data challenges intelligent and creative minds to provide societal value. Open Data applications allow us to make better use of existing resources and create new products and services. Open Data is also one of the cornerstones of Open Science, a concept central to science practitioners and policy makers of today, promoting (re)use of research data and results amongst scientists, the business community and society as a whole. Open Data and academic research In academia, Open Data are used in humanities and cultural heritage research communities (e.g. Journal of Open Humanities Data (JOHD), Europeana); Open Data are also common in the life sciences (e.g. Elixer) and in economics (e.g. World Bank). Some open datasets can be useful to explore societally relevant questions relevant to current policy debates and topics of interest to specific demographics. Open Data is also important for educational purposes (e.g., see Bishop & Kuula-Luumi, 2017). Open Data applications Open Data helps to create (new) value for societies, citizens and businesses. There are now several examples of successful startups with innovative applications of Open Data. Appealing examples are available in health, transport, energy and the environmental sector (see ODINE for examples). I want to work with Open Data. Where to start, who to contact? A good starting point for information and inspiration on “all things” Open Data is the Open Data Handbook. This online handbook provides case studies, learning resources and networked information on Open Data. Related. Support.

Website

Erasmus University Library

June 2, 2023

Responsible use of information: Responsible use of data

Managing data Research data can be a survey, a transcript of an interview, a spreadsheet, pictures, sound fragments and so forth. So it is clear you will come across research data during your studies. When you use the data of others it is important to reference them correctly: learn more about this in the module Citing Data. Protecting respondents Do no harm Responsible use of data is particularly important when the data involves people. The ethical norm is that you, the researcher, do not harm your research subjects in any way or better still, that people who participate in the research benefit from the research (Mertens 2007:27). Informed consent Another principle involved in research ethics is informed consent: getting permission from research subjects before you start your data collection, indicating that they understand and agree with your activities and its impact on them. Shared data management Research data management and open data initiatives enable and promote re-use of primary data by different researchers, or generations of researchers. Data sharing allows other researchers to match, compare and analyze the data set. Exercise: File naming Related. Suggested.

Website

Erasmus University Library

June 17, 2021

Online stagebegeleiding in de praktijk

In dit rapport beschrijven we de opzet en de uitkomsten van de evaluatie van het project Online Stagebegeleiding dat is uitgevoerd vanuit de Stimuleringsregeling Open en Online Onderwijs (projectcode O019-03). Het project had als doel om kennis te ontwikkelen over hoe online stagebegeleiding kan worden ingezet ter verrijking van werkplekleren in het hoger onderwijs. De conclusies en de daarop gebaseerde aanbevelingen presenteren wij in dit rapport met als doel de opgedane inzichten beschikbaar en inzichtelijk te maken voor geïnteresseerden in online onderwijs, stagebegeleiding of onderwijsinnovatie in het algemeen. Uit onderzoek blijkt dat goede begeleiding cruciaal is voor het succes van werkplekleren. Docenten zijn echter grotendeels niet op de werkplek aanwezig en hebben vaak (zeer) beperkte tijd om hun stagiairs te begeleiden. Daarbij is het voor studenten vaak moeilijk om hun leerproces op de stage te reguleren. In het project hebben wij de reeds bestaande Stage-App uitgebreid met functionaliteit voor docenten ter ondersteuning van de stagebegeleiding en hebben we deze ingezet in drie pilots.

Document

Esther van der Stappen, Ellen de Kwant, Machiel Bouwmans

February 1, 2021

Linear and logistic regression for social scientists

A course on the theory and application of one the most widely applied methods in the social sciences: regression analysis. Learn about what it is, how it works, when it’s (not) useful.

Video

Alex Lehr

January 30, 2020

Hoorcollege afstuderen week 8: Data analyse kwantitatief

De afstudeerfase van de hbov in Rotterdam bestaat uit 10EC. Studenten kunnen kiezen uit drie varianten; analyse complexe zorgsituatie, praktijkonderzoek en literatuurstudie. Gedurende 17 weken (één semester) krijgen de studenten 1 hoorcollege per week, gevolgd door 2 werkcolleges. De werkcolleges activeren de student om aan de slag te gaan met hun afstudeeropdracht.

UASPresentation

Dr. H. Groenewoud, MSc A.G. van Driel