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Zoekresultaten (10)

HBO/WO

MBO

2023

Visualisation learning trajectory information literacy

A visualisation of a learning trajectory for information literacy. Information Literacy - Attainment level: 1, 2, 3

Afbeelding

Leonie Kamminga

23 augustus 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.

Website

HCAIM Consortium

23 augustus 2023

Lecture: 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.

Website

HCAIM Consortium

17 mei 2023

What is Groundwater

Basic terminology and visualisation of groundwater

Video

kees.blok@wur.nl

8 april 2026

Legal Network Analysis

How can complex legal systems, filled with interconnected cases, statutes, and actors, be understood through data? Legal Network Analysis offers law students and researchers a practical guide to mapping and interpreting relationships in legal data using the tools of network science. Building on the foundations of graph theory, this open textbook shows how relationships between cases, statutes, or states can reveal underlying structures in law that traditional methods often overlook. Whether analysing citation networks, treaties among nations, or the diffusion of legal norms, readers learn to translate legal questions into visual and quantitative insights. Developed by the Law and Tech Lab at Maastricht University, this resource combines conceptual clarity with applied learning. Each chapter blends concise explanations with interactive Jupyter notebooks, allowing readers to reproduce, modify, and experiment with examples in real time. Appendices include step-by-step guidance for data preparation, visualisation, and software setup; making the book equally accessible for newcomers and advanced students. Designed to support the Network Analysis course at Maastricht University, this textbook is also a valuable standalone introduction for anyone exploring the data-driven dimensions of law and policy.

Open (Access) Tekst Boek

Gustavo Arosemena, Gijs van Dijck, Roland Moerland

5 december 2025

Categorical - Introduction

Statistics of categorical response variables. This very short clip just introduces what we are talking about, and some visualisation

Video

carolien.dekovel@wur.nl

6 december 2023

Building interactive web apps with the R package shiny

Lecture about app development using the programming language R. Part of the Utrecht University research master course 'Markup Languages and Reproducible Programming in Statistics'. Both the interactive slides, as well as a static pdf version are shared.

Presentatie

Hanne Oberman

1 september 2023

Practical: Presenting statistical data

Understand and demonstrate the data representation for AI and ML modelling. Apply a range of plotting techniques to visualise data. Be able to check for fairness, handle outliers and missing data.

Document

HCAIM Consortium

20 mei 2024

Critical views of urban social resilience

The video explains different strategies to convey critical views of urban social resilience.

Video

Camilo Benitez Avila

29 augustus 2022

#dariahTeach Platform

Since its launch in 2016, more than 70 scholars and practitioners have developed content for #dariahTeach. From developing new courses and translating existing ones to writing up case studies, and contributing videos. Many other academics have used #dariahTeach in the classroom. The #dariahTeach platform offers many opportunities: lifting the barriers of knowledge access and the boundaries of time and distance. Resources can be adapted, reused, and be made part of new practices. Some ways to make use of the resources: • Based on the principle of the "reversed or flipped classroom", have students study units of the online course before the meeting with teachers for hands-on sessions where they put the knowledge into practice and get feedback. • Integrate the resources into your regular teaching, at graduate and post-graduate level; e.g., by assigning to students units, videos, and quizzes. • Provide learners the opportunity to go through the material at their own pace, combined with a moment of reflection by incorporating quizzes and exercises that deal with both the methodological and the theoretical dimension of the subjects covered, e.g., in the case of a course on 3D visualisation that is available on the platform. • Have students learn about Design thinking and maker culture and at the same time put the topic of user-centred design into practice by inviting them to create learning materials: a student-led group project and a series of interlinked blog posts on the same topic. Student feedback indicates that they learned as they were designing and making, and that the non-linear and multimodal structure of the course facilitated such self-directed and iterative learning processes. Note: the teaching modules are not prescriptive. They are modular structure with different units providing resources and inspiration, opening up rather than limiting potential use and applications of content.

Website

Costas Papadopoulos, Susan Schreibman