Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017

Assignments and materials for the syntactic parsing class at Uppsala University.

Uppsala university thesis application checklist. This repo created only personal uses!

Repository for the written work, notes, and presentation of my master thesis.

Grupp 3 (NEFT)

The files contained within this project were created for an electric car conversion project formed within the "Project Work in Electrical Engineering" course at Uppsala University. The course is a part of the "Master's Programme in Electrical Engineering" and took place between the fall of 2022 and spring 2023. More details found in the README.md.

Group project in Object Oriented Programming II course at Uppsala Universitet. Warehouse Automation web application written with Blazor in ASP.NET.

En interaktiv karta som innehåller information angående Sveriges riksintressen. Skapades i sammarbete med Riksantikvarieämbetet.

Individual project in E-Services and Web Development course at Uppsala Universitet 2020. Online forum with comment sections. Written in Visual Studio Code with PHP, JavaScript, CSS. Implements JQuery.

An image classification project using the CIFAR dataset

Contents for the Natural Language Processing class at Uppsala University HT 2017

Configure iwd to use eduroam at Uppsala university

The developed model aims to classify an individual football player’s playing style solely based on his or hers event data collected from football matches he or she has participated in. Done in collaboration with Football Analytics AB as a masters thesis in engineering physics spring term of 2022, Uppsala University.

Group Project in Algorithms and Data Structures course at Uppsala Universitet 2020. Elevator simulator written in .NET with C#

Group project in course Object Oriented Programming I at Uppsala Universitet. Cypher for encrypting and decrypting.

R package to facilitate the macroecology patterns in R exercise for Population and Community Ecology course at Uppsala University