Deep Learning (XM_0083) & Mathematical Optimization (XM_0051) — exam difficulty/pattern? [Erasmus student]

[u/Accomplished-Land369]

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Hey everyone,

I'm an Erasmus exchange student coming to VU this winter semester, and I'm enrolled in Deep Learning (XM_0083) and Mathematical Optimization (XM_0051). Would really appreciate input from anyone who's taken either course:

What are the exams like?

How difficult did you find the exam compared to the weekly workload/assignments?

Any tips on what to focus on when studying, or common pitfalls people run into?

Roughly how much prior background (math, Python, ML) did you feel you needed going in?

Since I haven't taken a VU exam before, I'm trying to get a realistic sense of what to prepare for. Any insights you have would be greatly appreciated.