I am currently enrolled in the fourth year of the “Applied Physics and Mathematics” Master’s in Science degree at the Norwegian University of Science and Technology in Trondheim, Norway. Lately I have been specializing within applied statistics, and I’m planning on writing my project thesis on the application of neural networks on Lidar data in order to detect roof polygons.
Some of the most time intensive work at NTNU consists of writing one project report after another. Below I present a compilation of (a subset) of all my finished coursework in reverse chronological order. This is intended to give the reader some insight in what university coursework looks like and how it changes over the five years of a university degree. Most of the earlier work is written in Norwegian, but most of the recent work is in English.
Semester | Course | Description | Hand-in | Grade |
---|---|---|---|---|
10 | Master’s Thesis | Three-dimensional Roof Surface Geometry Inference Using Remote Sensing Data | A | |
9 | Specialization Project | Semantic segmentation of building footprints from remote sensing data such as LiDAR and aerial photography. | A | |
8 | Statistical Learning | Application of logistic regression, principal component analysis, hierarchical clustering, neural networks, boosted trees, support vector machines, and more. | 15⁄15 | |
8 | Statistical Learning | Application of multiple linear regression, logistic classification, and a discussion of the bias-variance trade-off. | 14.5/15 | |
8 | Experts in Teams | A summary of a game development project with focus on interdisciplinary aspects. | A | |
8 | Experts in Teams | An introspective analysis of group cooperation over a semester. | A | |
8 | Computational Statistics | Application of bootstrap estimation and the expectation maximization algorithm. | 10⁄10 | |
8 | Computational Statistics | Implementation of random samplers for the normal, gamma, and Dirichlet distributions, with more. | 9⁄10 | |
7 | Mathematical Modelling | Modelling of glacier dynamics and internal flow. | 84⁄100 | |
7 | General Linear Models | Application of random intercept and slope models. | 10⁄10 | |
7 | General Linear Models | Application of logistic and poisson regression. | 10⁄10 | |
7 | General Linear Models | Implementation of multiple linear regression in R. | 10⁄10 | |
6 | Optimization | Solving the inverse kinematic problem with optimization techniques with movement restrictions. | ? | |
6 | Optimization | Solving the inverse kinematic problem with optimization techniques. | ? | |
6 | Numerical Differential Equations | Numerical scheme for approximating the propagation of EM-waves. | A+ | |
4 | Scientific Computation | Image reconstruction from radial measurements. | B+ | |
4 | Scientific Computation | Calculation of electron trajectories through an electron gun. | A | |
4 | Scientific Computation | Estimation of how the shape of a container affects the ability to contain liquid without spillage. | A | |
4 | Quantum Mechanics | Numerical approximation of an electron’s energy situated within a potential well. | Approved | |
2 | Electromagnetism | Experimental verification of Biot-Savarts law using Helmholtz coils. | 100% | |
1 | Mechanical Physics | Calculation of the universal gravitational constant based on experimental measurements. | 100% | |
0 | Study start | Introductory project at NTNU before the first semester started, involving the measurement of the rotational inertia of a carousel. | N/A |