alan-turing-institute / rds-course

Materials for Turing's Research Data Science course
https://alan-turing-institute.github.io/rds-course/
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Meta-Issue: Module 4 #30

Closed callummole closed 2 years ago

callummole commented 3 years ago

Outline of Module 4

Draft of Module 4 syllabus. Each sub-section has a dedicated issue. This is almost definitely too long, but we will trim when developing the sub-sections.

General notes for Module 4 can be found here

1. Modelling: what is it, and why do it? (#33)

Attempt to define what modelling is and why researchers do modelling.

2. Building a simple model (#34)

Take a look at the research question as motivated by M1-3, and build the first simple model.

3. Interpreting a model (#35)

4. Validating a model (#36)

5. Improving a model (#37)

Hands-on session.

Three streams. Be super clear of what we want them to do, and provide a template of how to collaborate,.

Example session: Build your own model

Useful resources

Teaching Duration

There is quite a lot of material to cover. We may find that we need more of the time for the taught material (4-5 hrs), leaving less time for the hands-on session.

Time to write this module.

I think realistically each module is at least a day's work. A achievable target may be 2 weeks at 2 FTE.