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The challenges of teaching software engineering

I’ve just finished teaching a four-day course introducing software engineering for the first time. My plan is to refine the course (I’m teaching it again in October), and it will eventually become the basis for doctoral training programmes in research software engineering at Oxford, and part of a taught Masters. My department already has an M.Sc. in Software Engineering for commercial engineers (in fact I have that degree), and we want to do the same for software engineers in research context.

Of course, I can also teach your team about software engineering!

Some challenges that came up:

  • I’m too comfortable with the command-line to get people past the initial unfamiliar discomfort. From that perspective, command-line tools are all unusably hard. I’ve learnt from various sources to try foo --help, man foo, and other incantations. Others haven’t.

  • git, in particular, is decidedly unfriendly. What I want to do is commit my changes. What I have to do is stage my changes, then commit my staged changes. As a result, teaching git use takes a significant chunk of the available time, and still leaves confusion.

  • you need to either tell people how to set their core.editor, or how to quit vim.

  • similarly, there’s a world of difference between python and python3, and students aren’t going to interpret the sorts of errors you et if you choose the wrong one.

  • Introduce a tangent, and I run the risk of losing people to that tangent. I briefly mentioned UML while discussing diagrams of objects, as a particular syntax for those diagrams. In the subsequent lab, some people put significant time into making sure their diagrams were valid UML.

  • Finding the trade-off between presentation, tutorial, and self-directed exercise is difficult. I’m used to presentations and will happily talk on many topics, but even I get bored of listening to me after the ~50% of the time I’ve spent speaking on this course. It must be worse for the students. And there’s no substitute for practical experience, but that must be supported by guidance.

  • There are so many topics that I didn’t get to cover!

    • only having an hour for OOP is a sin
    • which means I didn’t even mention patterns or principles
    • similarly, other design techniques like functional programming got left off
    • principles like Agile Software Development, Software Craftsmanship, or Devops don’t get a mention
    • continuous integration and continuous delivery got left off. Even if they didn’t, the amount of work involved in going from “I have a Python script” to “I run my tests whenever I change my script, and update my PYpi package whenever they pass” is too damn high.
    • forget databases, web servers, browsers, mobile apps, desktop apps, IoT, or anything that isn’t a command line script or a jupyter notebook
    • and machine learning tools
    • and concurrency, processes and process improvement, risk management, security, team dynamics, user experience, accessibility…

It’s only supposed to be a taster but I have to trade off introducing everything with showing the value present in anything. What this shows, as I found when I wrote APPropriate Behaviour, is that there’s a load that goes into being a programmer that is not programming.

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