LunchBytes Panel: Teaching Code
As code and software become an ever bigger part of research (it's
likely that around 1/3 of researchers write code), coding and other
digital skills become ever more important to researchers. In this
online panel discussion, we will explore this with a few questions
- How do you teach code e.g. lectures, live-coding, lab classes? What works well for you?
- Is there a difference between “teaching” and “training” in this context?
- When is the best time in a career to start learning to code?
- I’m a new (student / researcher / lecturer / professor). How do I
start learning to code?
- Is writing code an essential skill for quantitative researchers?
- What are the implications for teaching / training?
- What tips do you have to help others teach better?
- Can the way we train people to code help make software engineering
more inclusive and diverse?
The panel includes Emma Norling (Director of Learning and Teaching in
the Department of Computer Science at the University of Sheffield),
Shangshang Gu (School of Health and Related Research, University of
Sheffield) and Ashley Cadby who plays a key role in teaching code in
the Department of Physics and Astronomy at the University of
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External attendees are welcome but please read our Code of Conduct and
contact the organiser first at firstname.lastname@example.org.
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