teaching

2025

1. Mathematics for Machine Learning 811
2. Probability Theory and Statistics 114
3. Computer Vision 792

2024

1. Probability Theory and Statistics 114
2. Computer Vision 792

Past courses

1. Applied Mathematics B252: Applied maths for Civil Engineers
2. Applied Mathematics B124: Statics
3. Intro to deep learning with PyTorch
4. Computer Vision 792 (teaching assistant)
5. Applied Fourier Analysis 364 (teaching assistant)

Applied Mathematics B 124: Statics

A first year mechanics course covering topics such as vectors, forces, moments, equilibrium of a rigid body, centroids and moment of inertia. Have a look at my proof of concept interactive explanation on cartesian vectors and coordinate direction angles. The interface is basic, but I should update it with a Three.js implementation of the 3d visualisation in future.

Intro to deep learning with PyTorch

An short introduction to deep learning with pytorch for the code for training an image classifier. Slides and code and be found here.