Mohamed Abdelrahman shares his journey as a PhD student in the Data Systems Group at the University of Tartu, where he focuses on Automated Machine Learning (AutoML) and aims to make AI more trustworthy and accessible. His story was introduced by Professor Jaak Vilo, Head of the Institute of Computer Science. Describe your thoughts when […]

The 25th International Conference on Product-Focused Software Process Improvement (PROFES) took place in Tartu from December 2–4, 2024. The conference brought more than 50 internationally renowned researchers and industry practitioners to Tartu, for interesting talks and discussions. Most participants came from Europe, mainly from Austria, Finland, Germany, Italy, Spain, and Sweden, but there were also participants from […]

Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph problems, secure multiparty computation (SMC) presents a promising approach to performing these functionalities. This article delves into the notable advancements in privacy-preserving parallel algorithms recently introduced in a Ph.D. thesis. By integrating graph algorithms with […]

Kea Kohv, Master Student in Data Science An interactive tool developed by Data Science Master’s student Kea Kohv helps find highly rated and popular data science books sold on Amazon. A query for data science books on Amazon returns thousands of results. That is a lot to skim through. In addition, if searching for highly […]

Jaak Vilo, Kallol Roy Algorithmics (MTAT.03.238) is an obligatory course in the Computer Science MSc curriculum. As such it is intended to remind everyone of the foundations of algorithms and data structures but also to go beyond and teach some more advanced concepts (like succinct data structures, for example).  The course aims at linking different […]

We are living in a world in which data is not just getting bigger; it is also getting more and more interconnected. Large graph analytics is a useful tool for gaining insights from large volumes of interconnected data and has applications in various fields such as social media, biology, and telecommunications. An example of the […]

To explain the importance of recognising and mitigating the impact of phishing attacks, our institute organised a CyberPhish seminar on 13 October, which was attended by more than 35 participants, including educators and students, stakeholders of private and public sectors, and representatives from businesses, police and government. The aim of the CyberPhish “Safeguarding against Phishing […]

More than 2000 participants were involved in cyber defence exercise Locked Shields 2022 that took place from April 19 to 22. This year, one of the venues of the event was the Delta Centre in Tartu. Employees of the HPC Center of the University of Tartu and the Institute of Computer Science participated in the […]

Ilmar Uduste studies Data Science at the Institute of Computer Science. This specialisation makes IT solutions smart and creates value in every field. To take up studies in Data Science, you need to have a bachelor’s degree and completed at least 60 ECTS of courses of IT, mathematics or statistics.  I did my bachelor’s in […]

When I was asked whether I would be willing to write a story about why somebody like me should decide to come to study at the University of Tartu Institute of Computer Science, I immediately agreed. In fact, I was almost about to suggest sharing my positive experience with “Conversion Master in IT” myself, but […]

We are currently in the process of significant changes in the communications paradigms. Among others, one of the changes is moving to cloud-based services instead of using local applications (Office365, Youtube, Spotify, etc.). We can argue about the motivation of this trend, but this allows us to provide the customers with the most up-to-date solutions […]

Researchers from the University of Tartu’s Institute of Computer Science are taking part in the EU Horizon project SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms and Machine Learning), which aims to develop resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks for trustworthy AI in ICT […]