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HBO/WO

MBO

September 23, 2026

Lessenreeks over de gebeurtenissen rondom de Surinaamse plantage Rac à Rac

Aan de Suriname rivier lag vroeger de plantage Rac à Rac, waar tot 1863 mensen in slavernij werkten om suiker te verbouwen voor Europese consumenten. Op 14 september 1862 ontsnapten 25 mensen van deze plantage, een derde van alle mensen die ‘bezit’ waren van de plantage. Wat deze vlucht zo bijzonder maakt: de meeste vluchtelingen van Rac à Rac waren vrouwen die vluchtten met de hele familie. De lessenreeks Rac à Rac - Een historisch onderzoek naar de gebeurtenissen rondom de plantage Rac à Rac bestaat uit drie lessen, met bijbehorend lesmateriaal. De lessenreeks is samengesteld door Coen van Galen en Marco van Vemde. In de eerste les verdiepen leerlingen zich in de geschiedenis van slavernij in Suriname en leren zij hoe je een archief leest. De tweede les draait om historisch onderzoek en het werken met bronmateriaal. Leerlingen ontdekken het verhaal vanuit drie verschillende perspectieven (de slaafgemaakte, de regering en de plantage-eigenaar) en gaan in de laatste les samen aan de slag met de vraag wat het échte verhaal is omtrent de plantage Rac à Rac.

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Coen van Galen, Marco van Vemde

July 1, 2025

AI as a science - course manual

AI as a Science aims to highlight how research involving “artificial intelligence” can be considered scientific, and what that means for us as scholars engaged in this — and related — areas of study. During the course, we will explore answers to questions such as: What is AI? What role do scientists play in the development of AI? And vice versa: what role do AI researchers play in the scientific investigations of computation, artificial intelligence, and intelligence more broadly? Do such roles come with responsibilities and ethical duties? We will explore these questions dialogically (i.e., through dialogue, discussions, and presentations), as well as through lectures. Perspectives will include critical, historical, sociological, and philosophical angles. We will touch on: The history of AI, going as far back as ancient Chinese and Greek civilizations; future projections, including the possibility of another "AI winter." Ultimately, you will aim to answer for yourselves: Is AI a science? Can it be? Will it be? The course will be examined through: Group presentation – You will be split into teams to create a presentation (see Presentation). The presentation combines: Group collaboration, An individual (or more than one person’s) presentation (10 minutes max). Final essay – You may choose a topic related to the course and aligned with your background or interests (see Essay). The essay will take the form of a literature review or journal-style article, aiming to: Deepen and/or broaden your knowledge on one or more topics from the course, Allow you to zoom in or out and develop your own unique perspective. Learning Goals: AI as a Science aims to teach you — and for you to teach yourselves — how to: Define science and AI, critically and in your own words. Understand the historical context of AI: When did AI or AI-like disciplines and ideas emerge? Understand the current state of AI and explore possible futures: Is time a flat circle when it comes to recurring “AI winters”?

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Olivia Guest

June 18, 2024

Rephrased SDGs for Higher Education for Sustainability (HES)

Based on the interviews held with teachers and students from 38 BA programmes, we rephrased the SDGs from the perspective of HESD. These descriptions can help to inform or inspire discussions about sustainability themes within an academic research and teaching context. The list of rephrased SDGs was used to create a set of ‘SDG competency cards’, that can be used to create learning goals that combine SDGs and competencies.

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Edwin van Meerkerk, Elize de Mul, Britt Broekhaus

February 21, 2024

Evolution and the idea of race

In the past, biologists and anthropologists thought that humans could be subdivided into races. Some of these races, they believed, we more civilized and 'progressed' than others, and their views were eagerly used to legitimize colonial oppression. Nowadays, scientists agree that race is a biological myth. Philosopher of science Dr Abigail Nieves Delgado (UU) explains how the colonial way of thinking still echoes in modern biology and anthropology. How are Indigenous peoples idealized and exoticized in modern science? In collaboration with the faculties of Science, Social and Behavioural Sciences, and Humanities (UU).

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Abigail Nieves Delgado, Studium Generale UU

December 15, 2023

Research Race bordspel : Library Game

Het bordspel kan ingezet worden bij het informatievaardiger maken van HBO studenten en andere belangstellenden. Het kan in alle leerjaren worden ingezet, maar is vooral geschikt voor eerstejaars en tweedejaars studenten, omdat deelnemers spelenderwijs hun kennis over het vinden en verwerken van informatie en literatuur bijspijkeren. Dat is een vaardigheid die hen in de rest van hun studie ook goed van pas zal blijven komen. Het spel bestaat uit een spelbord, pionnen, dobbelstenen en spelkaarten met vragen. Er zijn twee categorieën vragen: basisvragen, vooral geschikt voor de student die nog niet veel weet over hoe je gericht informatie zoekt op internet en in databanken, zoals die bijvoorbeeld op de website van de mediatheek te vinden zijn; vragen voor de student die al wat informatievaardiger is. De files van het bordspel-bord en de edubadges kunnen in Adobe Illustrator geopend worden om aan te passen indien nodig. Dit spel is ontwikkeld en gemaakt door studenten van de Hogeschool Rotterdam binnen het project Levende Mediatheek van de afdeling Kennis & Informatie.

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Meryem Uslu Serra, İlyas Malik, Ranagül Kocaer, Maarten Knolle, Souhaila Essaidi, Zeynep Bayrakdar

September 14, 2023

Publication strategies & Open Access: Choosing a journal to publish in

Choosing a journal to publish in Where will you publish your next journal article? With thousands of journals available it can be hard to find the right journal for your work. At the bottom of this page you can find an overview of tools that can help you create a 'shortlist' of journals to publish in. Some disciplines or research schools have developed journal lists, providing an overview of the journals most relevant to them. Aims & scope After creating a shortlist of suitable journals you need to check the aims and scope of the journals. Open Access options When choosing a journal the options to publish in Open Access can be important as well. All EUR-researchers are required to make their publications Open Access and most research funders have adopted policies that make Open Access publishing mandatory. AAbstracting and indexing information Where is the journal indexed? In other words: in which databases will researchers and students be able to find your article in their search results? Are these multidisciplinary databases, like Scopus or Web of Science, and/or discipline specific databases like EconLit, ERIC, PsycINFO or Sociological Abstracts? Are these databases you and your peers use? Tools to find journals to publish in Several tools have been developed to help you find suitable journals: these tools allow you to upload title, abstract and/or keywords of your article and – using data of articles already published - matching journals are shown. Some of these tools are publisher specific, others are publisher neutral. Journal lists Some disciplines and schools have created list of journals to publish in. These list are sometimes also used to evaluate researchers. Suggested.

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Erasmus University Library

August 23, 2023

Practical: SVMS and Kernels

To be able to design and use a linear SVM To be able to design ad use a non-linear SVM, using a kernel To design and optmize a SVM (cookbook approach)

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HCAIM Consortium

August 23, 2023

Practical: Data Preparation and Exploration

To prove to be able to use different data preparation techniques is able to identify basic statistics of all features in a given dataset is able to calculate basic statistics per group

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HCAIM Consortium

August 23, 2023

Tutorial: Exploratory Data Analysis

Naive Bayesian networks Bayesian networks Decision networks Students can define a multivariate joint distribution: multinomial and Gaussian Students can explain the difference between association versus causation Students can define observational, causal, and counterfactual inference Students can define fairness using observational and counterfactual reasoning

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HCAIM Consortium

August 23, 2023

Tutorial: Understanding Data

Learner acquires demonstrable knowledge of data forms used in AI. Learner can talk about data using the right terminology (e.g., features, variables, observations). Learner knows the different data types and knows how to transform them (e.g., nominal, ordinal). Learner knows the most common measures for data description (e.g., mean, median, standard deviation) and knows how to calculate them. Learner acquires demonstrable knowledge of how data are described via measures and visualisation. Learner knows the most common graphs and knows how to pick a visualisation, matching the given data.

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HCAIM Consortium