Of the four choices the first one is the one that used to be the only option. Despite it not being a common method in engineering and sciences, in the course feedback it has proven to have won over many converts. Having said that, there have always been those who find the idea of reflection completely alien and even somewhat suspicious. Humanistic even? So, this year I'm happy to generate personalised exams for those who want to go along this route. There are two other options, still. If you are sufficiently advanced and we can agree a priori that you can programme every method thrown at you during the course with your favourite system, I'd be more than happy to see if we could create companion documents to the lecture notes, with the idea that data science students for instance could take the Python codes and run with them. Finally, you are special, and all the other options seem boring. Perhaps you could help with the lecture notes?

  1. Learning diary

    This is the standard method. The idea is for each student to reflect on learning in diary format. Explain what you have learned and how you could apply the methods in your own field (chemistry, mechanics, option design, etc.)

  2. Personalised home exam

    Diary? Are you crazy? Give me an exam, the only objective way to assess learning! Something I'm good at, have always been, and will no doubt always be! -- OK, I hear you, and will oblige.

  3. Alternative programming language set

    It would be interesting to see our methods implemented in different programming languages, such as Python, julia, R, Scala, etc.

  4. Special assignment

    If you think you are special, I'm willing to see if we can come up with something useful.

Last modified: Tuesday, 13 April 2021, 10:26 PM