Davide Vega D'Aurelio

Most of my teaching and supervision at Uppsala University fails withing one of my research areas or in the field of software engineering and project management.

Uppsala and prospective students:
If you are keen on pursuing a research and/or development project for a master/bachelor thesis or a course project feel free to get in touch! You can find the updated list of project proposals for the next period below, or at the website of the UU-InfoLab research group. Normally, students must have spent at least a semester at Uppsala University and are required to have taken at least one course in either data science (such as 1DL007, 1DL360, 1RT700) or in software engineering (such as 1DL251, 1DL242) relevant for the project.

Summer interships:
I am no longer hosting summer interns.

Letters of recommendation:
If you consider asking me for a letter of recommendation, please consider these guidelines by Sarah Park.

Available Projects

Bachelor Thesis: International mobility patterns in competitive sports events

In this project we are interested on exploring the mobility patterns of the players (e.g., how many play only national-level tournaments, what are the most visited countries/cities) across time and compare those with other competition factors (e.g., their own level, how strong is the national country of destination) in order evaluate how these inequalities can affect the ranking.

Courses

  • InfoLab - Introduction to Network Science (Spring 2022)

    PhD level, 5 credits. Uppsala University.
  • 1DL251 - Software Engineering and Project Management (Autumn 2022)

    Master level, 5 credits. Uppsala University.
    Also taught in Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021 and Spring 2022
  • 1DL007 - Introduction to Computational Social Science (Spring 2022)

    Bachelor level, 7.5 credits. Uppsala University.
  • 1DL242 - Advanced Software Design (Autumn 2021)

    Master level, 5 credits. Uppsala University.
    Also taught in Autumn 2020
  • 1DL601 - Maintenance Programming (Autumn 2021)

    Master level, 5 credits. Uppsala University.
    Also taught in Autumn 2019

Supervised Projects

Listening in on Productivity: Applying the Four Key Metrics to measure productivity in a software development company

Johanna Dagfalk and Ellen Kyhle
Master Thesis, Uppsala University, Uppsala, Sweden. 2021

Computational Analysis of Swedish Newspapers Using Topic Detection and Sentiment Analysis

Simon Wallbing
Bachelor Thesis, Uppsala University, Uppsala, Sweden. 2021

Stochastic blockmodeling methods for bipartite graphs

Deepthi Hulithala Venkataramana and Naeim Rashidfarokhi
Project in Computational Science, Uppsala University, Uppsala, Sweden. 2021

A system for GDPR-compliant collection of social media data: from legal to software requirements

Fredrik Jonasson
Bachelor Thesis, Uppsala University, Uppsala, Sweden. 2019

Text to features for Swedish text

Man Dan Ly
Bachelor Thesis, Uppsala University, Uppsala, Sweden. 2019

Pattern Detection in Bipartite Temporal Network

Nam Nguyen Hai
Master Thesis, Uppsala University, Uppsala, Sweden. 2019

Cyber Challenge Competition 2019

Clara Engman, Gustav Fredriksson, Frida Kornsäter and Elin Sjörman
Project, Swedish Defence University, Swedish Civil Contingencies Agency MSB, Stockholm, Sweden. 2019

Measure development and social media analysis using temporal text networks

Hampus Falk
Bachelor Thesis, Uppsala University, Uppsala, Sweden. 2018