Online
March 11 - 14, 2024
9:00 - 13:00 CET
Instructors: Candace Moore, Giulia Crocioni, Jaro Camphuijsen
Helpers: Thijs Vroegh
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Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: March 11 - 14, 2024, 9:00 - 13:00 CET.
Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email or training@esciencecenter.nl for more information.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
This workshop is scheduled on four separate concurrent mornings. This allows you to work on your code in between the sessions, implementing the lessons you learned during our meetings together. Please schedule dedicated work time in your calendar, so you can take full advantage of the workshop.
9:00 | Welcome and Introduction |
9:20 | Image Basics |
9:40 | Working with the skimage library |
10:30 | Coffee break |
10:40 | Drawing + |
11:40 | Bitwise Operations |
12:30 | Wrap up |
12:40 | Feedback collection |
13:00 | END day 1 |
9:00 | Welcome back |
9:00 | Welcome back + questions |
9:15 | Histograms |
10:30 | Blurring Images |
11:30 | Thresholding Images |
11:30 | Wrap up and summary |
11:40 | Feedback collection |
12:00 | Optional extra tutoring |
13:00 | END day 2 |
9:00 | Welcome back |
09:15 | Thresholding Images II |
10:15 | Connected Component Analysis |
12:20 | Optional Challenge Introduction |
12:30 | Feedback collection |
13:00 | END day 3 |
9:00 | Welcome back |
9:15 | Capstone Challenge |
11:30 | Bonus lecture: transformations, affine |
12:30 | Feedback collection |
13:00 | END day 4 |
All times in the schedule are in the CET timezone (Amsterdam time).
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
The setup for this workshop requires you to have both a proper environment created and the data for the workshop downloaded. The easiest way to do this is to download the workshop repository which includes both the data and setup instructions.
The setup instructions for our Data Carpentry Image Processing workshops can be found at the image processing workshop overview site
.If you do not wish to use conda you can create an environment without conda with the libraries in the environment file
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options: