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HBO/WO

MBO

January 1, 2026

Instructions to sail your VirtualShip!

This guide will help you get started on running your VirtualShip expedition.

Document

Emma Daniels, Jamie Atkins, Erik van Sebille

January 1, 2026

Presentation about observing and measuring the ocean

This presentation can be used to give a 60-100 minute lecture about observing the ocean and covers: Limitations of ocean observations Remote sensing Shipboard observations Eulerian and Lagrangian observations Autonomous instruments Steps to conduct ocean research. The lectuure is also included (UU login).

Presentation

Emma Daniels, Erik van Sebille, Jamie Atkins

May 8, 2025

Gebouwautomatisering programmeren van NHC installatie

In een practicum wordt de student geleerd om een elektrotechnische installatie die voorzien is van Niko Home Controle te programmeren

Document

Ger Derksen

November 1, 2024

Gebruikershandleiding de klas op orde met VR voor docenten en labondersteuners

Deze gebruikershandeling voor docenten en labondersteuners gaat in op praktische zaken om de virtuele klassen (kleuterkring, kleuterhoeken, VO) in het onderwijs in te zetten.

Document

Jolien Mouw

August 23, 2023

Lecture: Introduction to privacy and risk

Obtain a general understanding of the notion of privacy. Understand the difficulties and pitfalls of data privacy analysis and detection of personal data. Understand the trade-off between anonymization and data utility (no free lunch). Understand the difference between data security and data privacy. Learn the basic principles of anonymous communication and TOR. Discern, investigate and discuss key risks which AI and Machine Learning models introduce

Website

HCAIM Consortium

August 23, 2023

Lecture: Trust Models and Trust quantification

None

Website

HCAIM Consortium

August 23, 2023

Lecture: Introduction to the resurgence of AI and ML

Understanding emergence of AI Knowledge of events leading to the AI winters Raionale key factors responsible for the Resurgence of AI

Website

HCAIM Consortium

January 1, 2023

Maker Lab Lecture Slides and Lecture Announcements

This collection of the Maker Lab's Lecture Slides and Lecture Announcements (alongside the Lecture Notes and several Assignments files) detail the learning material and activities that prepare students for the open inquiry phases. Specifically, students learn about experimental design and uncertainty analysis, and learn and practice some important programming skills for controlling sensors and processing and analyzing data. For context of how these lectures fit into the course activities, please see the example course schedule (published as a sub-page of the main "Maker Lab: full course materials" page). The Lecture Slides are .PDF files of the Powerpoint slides, while the .TXT documents are pre- or post-lecture announcements posted to the course's digital learning environment. The course runs over 15 teaching weeks, with two 90 minute class sessions per week ("a" and "b"), which explains the naming system of these files, with names that begin with the week number and session letter. Note that many class sessions (especially after the open inquiry phases begin in session 5b) have no lectures or other materials because they are devoted to students' team presentations or individual meetings between teams and instructor. Additionally, lectures 1b and 2a include exercises and discussions using Arduino code files, with the file extensions .INO, which are also included here. NOTE: These uploads are not yet working. Please reach out if you're interested in the files. NOTE: Instructors interested in having the original powerpoint files of the Lecture Slides are encouraged to reach out to me via forrestbradbury ("AT") gmail.com .

Document

Forrest Bradbury

January 1, 2023

Maker Lab Assignment: Semi-structured_Experiments

Before the Maker Lab students begin the open inquiry phases, they first learn and practice some important skills, supported by small assignments. This assignment is a "structured", or "guided" inquiry, where students know ahead of time the result they should find, but have agency in their experimental design, within some prescribed limits. By assigning all teams different methods for addressing a single research question (currently: estimating the acceleration due to gravity), they are encouraged to reflect upon how experimental design and equipment limits the certainty of empirical findings. This assignment requires teams of four students (organized into two pairs, each performing the experiment separately, but analyzing data and reporting on conclusions together). In two weeks (wherein students' course workload is 10 hours per week), the teams must set up experiments, controlling sensors with self-programmed Arduinos, collect and analyze experimental data, and create a pre-recorded video presentation to be viewed in class and aimed at their peers, followed by a Q&A. Note: If you do not (yet) have Jupyter Notebook, you cannot fully utilize the .ipynb file. But the attached PDF will give an idea of its content and functionality. Note also: In order to interact with and fully utilize the Jupyter Notebook documents (including their hyperlinks and pointers to data and image files), it is helpful to save the entire collection locally in a way that preserves the original directory structure. This is easiest to accomplish by downloading all files at once via the JupyterPython-materials zip file and unpacking it (extracting the files) to your preferred local directory. This zip file of all Jupyter Notebook materials is located here: https://search.edusources.nl/materialen/d144774e-9705-489a-b3cd-28e3618f7324 Contents: partial experimental instructions (for students) in Jupyter Notebook: Semi-structured_Experiments.ipynb (and .pdf ) grading form for pre-recorded video presentation (both .docx and .pdf )

Document

Forrest Bradbury

January 1, 2023

Maker Lab course schedule (example)

This example Maker Lab course schedule is meant to help show how the course is structured and implemented. In addition to the full .pdf schedule, a pictoral representation is given to show the basic timeline, starting with skills training and then two open inquiries. Note that this example schedule has benefitted from four previous course iterations, and has been tweaked each time for better and more efficient student support. Instructors implementing open inquiry lab projects for the first time are advised to schedule in a bit extra student contact time until they have a good sense of when and how the students need to be supported.

Image

Forrest Bradbury