Leiden University

LIACS Thesis Repository


These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.


Program
Bachelor InformaticaBachelor Informatica & EconomieBachelor BioinformaticaBachelor Data Science and Artificial IntelligenceMaster Computer ScienceMaster ICT in Business and the Public SectorMaster Media TechnologyPhD Computer Science
Period
All years2022-20232021-20222020-20212019-20202018-20192017-20182016-20172015-20162014-20152013-20142012-20132011-2012

23 entries found.

Bachelor Informatica & Economie


2022-2023
Student Thesis Content
Bekker, K. Towards a Practical Solution for Ensuring Traceability of Automated Outcomes in the Dutch Insurance Industry
Boer, J. de Interactive and explorative visualisations for researchers with unexpected questions
Boone, M. Euridice (Extensible Data Cleansing Framework) Intuitive data quality classification and cleansing
Braams, V. Fake news during the Dutch elections: automatic classification and government strategies
Bruinsma, M. Exploring Themes of CEO Social Media Communication
Dieles, T. Identifying Successful Football Teams in the European Transfer Market: A Network Science Approach
Dreumel, L. van Visualisation tools to support historical research on a linked dataset about Leiden University
Hessels. F. Modelling Gentrification in Dutch Neighbourhoods: Investigating the Role of Neighbourhood Amenities
Janssen, M. (Martin) Data Quality Analysis for the Dutch Algorithm Register
Klumperbeek, S. The Impact of Social Media Discourse on Market Reactions to Data Breach Announcements: An Empirical Analysis
Koçak, YasinThe Correlation between Market and Public Sentiment; the Intercommunication of the Russo-Ukrainian War
Kraayeveld, K. Truck factor analysis for business continuity planning in SMEs
Lee, S. Developing an MVP in an Established Company: a Case Study
Macquiné, D. (Dylan)CEOs’ Use of Visual Cues in Tweets and Market Reactions
Mast, T. deLowering the Resolution of Damage Data in a Model that Predicts Rainwater Damage
Mehciz, J. Integrating digital accessibility in document creation tools
Molling, PiUsing Machine Learning Techniques to Predict Rainwater Damage Instances
Oosting, J. Finfluencers and their impact on the Stock Market
Piké, RensBenchmarking Large Language Models for Domain-Specific summarization
Putten, W. van der Predicting football matches with the use of weather conditions
Sedigi, K. Evaluating a New Javascript Feature for a Thesis Evaluating
Vonk, J. Meal delivery, customer experience versus driver’s welfare
Zon, P. J. (Pedro) van derAssisting the Creation-process of Fictional Characters with Large Language Models