20. jaanuaril kaitses Heidi Taveter oma doktoritööd „Using programming-process data of introductory programming courses: finding solver types, giving feedback, and detecting plagiarism“ („Programmeerimisprotsessi andmete kasutamine sissejuhatavatel programmeerimiskursustel: lahendajatüüpide leidmine, tagasiside andmine ja plagiaadi tuvastamine“). Sel puhul uuris arvutiteaduse instituudi juhataja professor Jaak Vilo intervjuus, kuidas on kulgenud Heidi teekond teadusmaailmas. Kui peaksid oma doktoriteed ühe […]

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 […]

Sulev Reisberg töötab Tartu Ülikooli arvutiteaduse instituudis selle nimel, et selgitada välja, milline on Eesti rahva tervis ja kuidas seda tõhusamalt ravida. Arvutid ja programmeerimine huvitasid mind juba lapsest saati. Lõin arvutimänge ja veebilehti ning seetõttu tundus loomulik samm minna ülikooli IT-d õppima. Pärast Tallinna Tehnikaülikoolis omandatud magistrikraadi olin aga kindel, et teadus pole minu […]

Kaur Alasoo, Associate Professor of Bioinformatics at the Institute of Computer Science, University of Tartu, has combined computer science and molecular biology in his research to find new ways of predicting the effects of genetic variants and to better understand rare diseases. He was interviewed by Professor Jaak Vilo, Head of the Chair of Data […]

Djeane Debora Onthoni has joined the Health Data and AI research group at the University of Tartu’s Institute of Computer Science, bringing international expertise in applying AI to health data analysis and precision medicine. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You recently came to Estonia to the […]

Maarja tegutseb arvutiteaduse instituudis terviseinformaatika nooremteadurina ja loob oma teadustöös võimalusi terviseandmete visualiseerimiseks ja andmestike võrdlemiseks visuaalsete vahenditega. Teda usutles andmeteaduse õppetooli juhataja professor Jaak Vilo. (Foto: Marja-Liisa Plats) Oled hiljuti saanud palju tähelepanu oma teadustulemuste populariseerimisel. Räägi oma doktoritööst veidi lähemalt. Töötan terviseinformaatika uurimisgrupis, kus meie eesmärk on koostöös meditsiiniekspertidega parandada Eesti inimeste tervist […]

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 […]

E-õppe algusajaks Tartu Ülikoolis võib pidada aastat 1998, kui saadi Avatud Eesti Fondi  rahastus projektile “Avatud Ülikool kaasaegseks kaugkoolituskeskuseks”. 2023. aasta maikuus möödus sellest ajast täpselt 25 aastat. Arvutiteaduse instituudi pikaajaline vanemmetoodik Tiina Lasn, kes seda projekti juhtis, jagab järgnevalt oma mõtteid ja meenutusi. Kuidas siis täpsemalt meil e-õppega alustati?  Avatud Eesti Fondi projekti “Avatud […]

Imagine a room with millions of mysterious switches and hundreds of ceiling lamps. You don’t know which switch does what, but you’re curious. As you experiment with different combinations, the lamps’ brightness varies. This scene is a simple metaphor for the complex challenge of genomics research – understanding how different genetic ‘switches’ affect our health. […]

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 […]

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 […]

Data privacy has become trending, and nowadays, people are talking more and more about it. With process mining, privacy becomes more relevant. Because process mining makes it easier to expose the actual business reality. With automatic process discovery, we can reverse engineer the activities that have been performed within the organization and the hand-offs between […]