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 […]

Kadi Tulver, arvutiteaduse instituudi kognitiivteaduse ja masinnägemise teadur Lugu sellest, kuidas Isaac Newton õunapuu all istudes murrangulise gravitatsiooniteooria peale tuli, on kõigile tuttav. Isegi kui mõned värvikad detailid on ilukirjanduslikult liialdatud, ilmestab see episood suurepäraselt ühte inimmõistusele unikaalset omadust – kuidas uudsed ideed mõnikord meile justkui tühja koha pealt pähe hüppavad. Püüdlustes luua tehisintellekti, mis […]

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 […]

The article was translated and published in English by the University of Tartu. It was initially published in Estonian in Eesti Ekspress by Greete Lehepuu. The cover of the September issue of Communications of ACM, the most prestigious journal in computer science, featured an article led by University of Tartu researchers. The article proposes steps to tackle one of […]

Estonia does not have many natural minerals or a significant population like many wealthy countries, but it has the most unicorns per capita globally. As most unicorns use technology to offer solutions for solving problems, we need more IT practitioners who can use computation power to solve various algorithmic issues.  “Thinking computationally is not anymore […]

On the 6th of June 2019, the paper “D2IA: Stream Analytics on User-Defined Event Intervals” won the best paper award in the 31st International Conference on Advanced Information Systems Engineering (CAiSE’19), which was written by Ahmed Awad, Riccardo Tommasini, Mahmoud Kamel, Emanuele Della Valle and Sherif Sakr. CAiSE is one of the oldest and top […]

Digital games producer Edvin Aedma tells us how one presentation from Keith Devlin inspired him to take up teaching game development and how it affected UniTartuCS. Sometimes before 2012, Keith Devlin visited Institute of Computer Science at University of Tartu and gave a rather fascinating lecture about the synergy between teaching mathematics and videogames. I […]

Author: Phuong Nguyen “High-performance computing (HPC) is the use of super computers and parallel processing techniques for solving complex computational problems. Nowadays, HPC plays an important role in the field of computational science, and are used for a wide range of computationally intensive tasks in various fields, including quantum mechanics, weather forecasting, climate research, oil […]

Mis on arvutuslik neuroteadus? Tartu Ülikooli arvutiteaduse instituudi üks kõige paeluvamaid teadusvaldkondi on kahtlemata arvutuslik neuroteadus. Selle uurimisgrupi töös kohtub inimaju, maailma kõige keerulisem arvutusmasin, tehisintellektiga. Kui neuroteadus on püüd aru saada, kuidas aju töötab, siis arvutuslik neuroteadus püüab mõista, kuidas aju “arvutab” või töötleb informatsiooni. Arvutuslik neuroteadus kasutab sealjuures arvutit kui tööriista ja kui […]