Modern academic research involves the usage and generation of multiple software assets such as computer programs, data, simulations and data-analysis workflows. This unit aims to improve the quality, sustainability and impact of these software assets.
The first run of this course will occur in November/December 2016.
This DDP module will teach a range of ‘next generation’ computational skills:
6 months after the course, you will be offered a follow-up consultation from a member of the Research Software Engineering group.
You will be taught via mixture of lectures and workshops. The module will be backed up by material that can be referred to in your own time. There will be an overview lecture covering the philosophy of writing good software with the view of achieving reproducible results, and presenting an overview of the tools that can facilitate this procedure.
Follow-up consultations will be arranged with each of you to help ensure that the skills learned are being successfully applied to research.
The assessment method will be the completion of a set of practical exercises on each of the learning outcomes. These will assess the your basic ability to use the taught tools and methodologies. You will be given the option to complete the exercises within the workshops and receive immediate oral feedback or submit your solution later, by a predefined deadline, and receive on-line feedback. Success in the module will depend on successfully completing the exercises.
For queries relating to collaborating with the RSE team on projects: email@example.com
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