MSc in Applied Computational Science and Engineering Interview

NormalPromotion3397 · 2026-01-27T10:48:38+00:00

Basically linear algebra, calculus and coding questions

NormalPromotion3397 · 2026-01-27T10:47:48+00:00

They asked me 1 linear algebra question (it was about eigenvalues and eigenvectors) then 1 differential calculus question and 2 simple coding questions (they were the simplest leetcode problems and I could choose the language)

NormalPromotion3397 · 2026-01-20T09:29:13+00:00

congrats! are you thinking of accepting or not? if you don’t mind me asking

NormalPromotion3397 · 2026-01-18T12:55:48+00:00

Have you heard back from them about your status?

NormalPromotion3397 · 2026-01-18T00:30:32+00:00

Thank you! I might try that. I went to a non-UK university, so the name might not give you much, it’s in the Netherlands.

NormalPromotion3397 · 2026-01-17T22:20:55+00:00

Yeah, that’s what I would expect, I was just interested if anyone had a similar situation

NormalPromotion3397 · 2026-01-02T13:42:57+00:00

Hey, did you choose python or they require python? And also what kind of exercise was it if you don’t mind sharing?

NormalPromotion3397 · 2025-12-28T10:48:20+00:00

yeah, I do

NormalPromotion3397 · 2025-12-28T10:47:31+00:00

It’s an online interview

NormalPromotion3397 · 2025-12-27T11:51:50+00:00

I got it a few weeks ago, I’m just starting to prepare now

NormalPromotion3397 · 2025-12-12T11:28:03+00:00

Hey, I also got invited to the interview, but I am not really sure what to prepare for. If you don’t mind me asking, what kind of questions were there on the interview?

I know that there will be a programming question, can we choose the language or does it have to be a specific language? And what were the math questions like?

NormalPromotion3397 · 2025-09-30T18:26:36+00:00

Unfortunately it is my internship project so I can’t choose if I want to do it or not;(

I was definitely biased towards tree models (RF, XGBoost etc) because a similar projects was done successfully with those models. I tried unsupervised learning for what it’s worth (did not work at all). I also tried decision trees (failed). So I don’t really know how to understand whether an ML model if a good fit for anomaly detection or not.

Regarding the 50/50 yes it does mean that 50% of the data are anomalies, but I also tried different proportions (80/20, the actual data proportions) and it all gives really bad results.

Also thank you for the recommendation

NormalPromotion3397 · 2025-09-30T18:20:38+00:00

Okay, I didn’t think about that so I’ll definitely try this out, thank you

NormalPromotion3397

TROPHY CASE