On 25 January, Mahir Gulzar defended his doctoral thesis „Addressing Real-world Scenarios via Motion Prediction in Autonomous Driving“. To mark the occasion, Professor Jaak Vilo, Head of the Institute of Computer Science, interviewed Mahir about how his journey in the world of research has unfolded. If you had to describe your PhD in one sentence […]

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 […]

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. […]

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 […]

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 […]

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 […]

When I was asked whether I would be willing to write a story about why somebody like me should decide to come to study at the University of Tartu Institute of Computer Science, I immediately agreed. In fact, I was almost about to suggest sharing my positive experience with “Conversion Master in IT” myself, but […]

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- […]