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 […]

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 […]

You can find out more about Abasi-Amefon Obot Affia’s PhD thesis here.  In the dynamic world of the Internet of Things (IoT), ensuring robust security is paramount. As IoT systems become increasingly integrated into various sectors, the complexity of managing security risks escalates. Recognising this challenge, the IoT Architecture-based Security Risk Management (IoTA-SRM) framework has been introduced, […]

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. […]

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 […]

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 […]

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 […]

Tartu Ülikooli arvutiteaduse instituudi toetusel toimus 8.-19. novembril informaatikaviktoriin Kobras, millel osales peaaegu 4000 Eesti õpilast rohkem kui 110 koolist. Parimaid ootab uuel aastal ees finaalvõistlus. Viktoriin toimus kolmes vanuserühmas: benjaminid (6.–8. klass), juuniorid (9.–10. klass) ja seeniorid (11.–12. klass). Ühe koolitunni (45 minutit) jooksul vastasid õpilased 15 küsimusele, mille teemaderingi mahuvad küsimused arvutite riist- […]

The article was initially published in Ekspress by Greete Lehepuu. The app works like Google Maps: given genetic coordinates associated with a disease it finds which gene is likely to cause the disease and in which tissue. Imagine that the only way to find your way in an unknown city is to buy the map […]

By Dmytro Fishman, Junior Lecturer of Data Science The human organism is a profoundly complex mechanism, consisting of trillions of cells, each powered by about 42 million protein molecules that interact with one another in a gazillion of ways. Recently, scientists developed technologies (i.e. high-throughput screening) that enable us to listen and record data from […]

On June 28, Dmytro Fishman defended his PhD thesis on “Developing a data analysis pipeline for automated protein profiling in immunology”. In this work, Dmytro and his collaborators explored the dynamics of autoimmune diseases as well as developed a software tool that simplifies similar research in the future. Proteins are essential elements of all living […]