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 […]

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. […]

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 […]

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 […]

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 […]