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Zoekresultaten (19)

HBO/WO

MBO

4 oktober 2026

IEEE floating point getallen

Dit programma toont de bit-structuur van 32 en 64 bit IEEE floating point getallen

Wo, HboWebsite

Auteur onbekend

12 oktober 2025

Glass Processing

In this video Martina Eliášová explains the various cold-working techniques used to cut and shape standard float glass panes after production. The video outlines that mechanical processing is a fundamental step all flat glass undergoes and includes key operations like cutting, grinding, and drilling. Several cutting methods are described: the traditional surface-cut and break method, diamond disc cutting for thicker glass, laser cutting, and water jet cutting, which has the advantage of avoiding thermal stress. The video also details edge grinding, a process crucial for safety, aesthetics, and increasing the glass's strength by removing micro-cracks from cutting. Furthermore, it covers drilling, typically performed with diamond-coated tubular drills, and notes the specific standards that govern hole placement and dimensions. A key point emphasized is that all mechanical processing must be completed before the glass undergoes any thermal tempering process. The video was produced by the Open GLASSroom project. Special thanks to Martina Eliášová for contributing to the Open GLASSroom OER collection. The creation of these resources has been (partially) funded by the ERASMUS+ grant program of the European Union under grant no. 2022-1-DE01-KA220-HED-000089750. Neither the European Commission nor the project's national funding agency DAAD are responsible for the content or liable for any losses or damage resulting of the use of these resources.

Video

Martina Eliasova

23 augustus 2023

Lecture: Model Compression - Edge Computing

Understand the concept of model compression Provide the rationale behind the techniques of pruning, quantization and knowledge distillation Prepare for understanding of basic implementations using a high-level framework like TensorFlow

Website

HCAIM Consortium

23 augustus 2023

Lecture: Privacy and machine learning

Understanding of privacy risks in machine learning Distinguish training data and model extractions attacks/threats Learn adversarial modelling and threat analysis in AI Learn the principles of AI privacy auditing Distinguish membership and reconstruction attacks Distinguish membership attack and model inversion

Website

HCAIM Consortium

2023

Lecture Notes chapter 2: Introduction to Python Programming

This "Maker Lab" course uses Jupyter Notebook files and the Python programming language for data analysis and visualization and uncertainty analysis. Chapter 2 of the lecture notes introduces the Python programming language. It consists of four sub-chapters, each published as separate files. Note: If you do not (yet) have Jupyter Notebook, you cannot fully utilize these .ipynb files. But the attached PDFs will give an idea of their 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

Document

Forrest Bradbury

23 augustus 2023

Practical: Model Compression - Edge Computing

Understand how to implement techniques of model compression Grasp the advantages of pruning, quantization and knowledge distillation Becoming familiar with a high-level framework like TensorFlow

Website

HCAIM Consortium

16 februari 2021

Survival: A resilience game on Jakarta, Indonesia

Resilience Game for the class Integrated Project

Document

Eunice Koid, Elif Basli, Jasper Krijn, Maitry Phukan, Sihan Wang

16 februari 2021

Bounce Back: A resilience game about Manila

Manila is the capital city of the Philippines and one of the most densely populated cities in the world. The greater area, Metropolitan Manila, is regularly subjected to a range of shocks. Every year multiple typhoons cause a lot of damage and also droughts and water pollution are severe problems in the Philippines. In this game you and your team, the urban council of Metropolitan Manila, are in charge of building resilience to these shocks.

Document

Valeria Martinez, Vanessa Schaller, Guido Florentinus, Emma Koole

2 juni 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

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