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 […]

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 […]

On the 13th of December Lidia Feklistova defended her PhD thesis on „Learners of an introductory programming MOOC: background variables, engagement patterns and performance” We constantly improve our knowledge and skills to be successful. Participation in massive open online courses (MOOCs) supports ongoing professional development and lifelong learning. Keeping in mind the huge number of participants in […]

On the 9th of December Jakob Mass defended his PhD thesis on „Process management for Internet of mobile things“. The Internet of Things (IoT) promotes solutions such as a smart city, where everyday objects connect with info systems and each other. One example is a road condition monitoring system, where connected vehicles, such as buses, […]

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 […]

On the 30th of September, Mubashar Iqbal defended his PhD. thesis on “Reference Framework for Managing Security Risks Using Blockchain” which addresses the problem of traditional applications’ security risk management (SRM) using blockchain as a countermeasure solution and the SRM of blockchain-based applications. In the digital realm, software security has the utmost importance in making […]

The cornerstone of democracy is the right for voters to participate in free and fair elections. However, securing elections is a non-trivial task due to the conflicting security requirements.  On the one hand, to provide the freedom to vote, it should not be possible to coerce voters into voting for a specific candidate. Therefore, the […]

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 […]