Define the list of pre-requisites and add them to the lesson

[K-Meech]

Definition of Done

Fill out index.md by:

• Adding an overall description of the lesson
• Define the list of pre-requisites and required knowledge of Python and microscopy.
• Adding a list of prerequisites (e.g. any python or microscopy knowledge required)

Example from another carpentries course: https://github.com/swcarpentry/python-novice-gapminder/blob/main/index.md

[K-Meech]

Here's a rough first draft of an overall description of the lesson + prerequisites. The description is adapted from the workshop notes - we can expand it with information about the content of each day once that is finalised. The prerequisities are also very minimal, as we are keeping it as coding light as possible + aiming at microscopy novices.

Lesson description

This lesson provides an overview of the fundamentals of imaging data that has been acquired through light microscopy experiments. This course is aimed at all researchers who are looking to work with light microscopy imaging data, or to refresh their knowledge on some of the key fundamentals.

Prerequisites

• Some prior experience with acquiring/working with light microscopy data would be useful, but isn't necessary. This course is aimed at anyone who is looking to work with light microscopy imaging data in their research projects.
• This course will use some Python tools, but no prior experience is necessary.

[MonikaSvata]

• Include recommendation of Python experience (with recommended trainings).
• Include bringing laptop with certain specifications and followed set-up instructions (in set up or pre-requisites).

[K-Meech]

I updated the prerequisites based on our meeting - are you happy with the wording below @davecash75 ?

Lesson description

This lesson provides an overview of the fundamentals of imaging data that has been acquired through light microscopy experiments. This course is aimed at all researchers who are looking to work with light microscopy imaging data, or to refresh their knowledge on some of the key fundamentals.

Prerequisites

• Some prior experience with acquiring/working with light microscopy data would be useful, but isn't necessary. This course is aimed at anyone who is looking to work with light microscopy imaging data in their research projects.
• No python experience is necessary or assumed, but you will get more out of the course if you know some basics e.g. from the Software Carpentry python course
• Please bring a laptop (Windows, Mac or Linux) and follow the setup instructions before the start of the course

[davecash75]

Great. Very minor suggestion to last billet point. Please bring a laptop (Windows, Mac or Linux) to the lesson. Before the start of the course, please follow the setup instructions so that your laptop is ready to run the material in the lessons

[davecash75]

@K-Meech Now this is more less agreed, does this need a pull request to add these into the website?

[K-Meech]

Thanks @davecash75 ! - I'll go ahead and make a PR to add this to the index.md file

[MonikaSvata]

David PS to provide link to the next UCL software Carpentries course link - so that we can advertise and point people to it as a potential pre-requisite of the course.