At UCL, I assisted with teaching two different undergraduate computing courses: an introduction to programming course for first-year students, and a more advanced course on scientific computing for second-year students.

For both, I assisted with the running of workshops, where students would work through exercises on their own and ask for help from demonstrators.

PHAS0007: Practical Physics & Computing

This was a first-year course introducing students to the basics of programming, using Python, and the basics of libraries such as numpy and matplotlib. Each week, students would have an extended problem to complete at home, which usually connected to physics in some way. These would then be marked by demonstrators one-on-one during the workshops, allowing students to get direct feedback on their work.

I taught this course twice: once in 2020-21 (which was online), and again the next year in 2021-22.

PHAS0030: Computational Physics

This second-year course covered a number of advanced numerical methods, as well as refreshing students on the basics of numpy. For example, students learnt how to solve differential equations (both ordinary and partial), such as the evolution of a quantum wavepacket through a 2D potential landscape.

I taught this course three times: the first time was in Term 2 of 2020-21, with the unexpected roadbloack that the university shut down in March due to the pandemic and we had to scramble to find an online solution! I taught it again in 2021-22, and then again in 2022-23 (which was back to in-person).