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 […]

Tartu Ülikooli arvutiteaduse instituudi doktorant Mari-Liis Allikivi ja lektor Ardi Tampuu alustavad uue õppeainega „Tehisintellekti rakendamise projekt“, kus nad õpetavad üliõpilasi kasutama tehisaru päriselu probleemide lahendamiseks. Mida see uus projektipõhine aine üliõpilastele annab ja kas see võiks huvi pakkuda ka ettevõtetele, uuris andmeteaduse õppetooli juhataja professor Jaak Vilo. Avate peagi täiesti uue õppeaine – seda ei […]

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. […]

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 […]

Alguses võib IT-tööstusmagistrantuur tunduda nagu võõras asi, kuid paljud UT tudengid on selle edukalt ning õnnelikult läbinud! Järgnevalt saad lugeda kahe tudengi – Lukase (inglise keeles) ning Artjomi (eesti keeles) – kogemustest ITTM-is. Lukas (ENG) Lukas is a second year Computer Science master’s student. He applied to Reach-U as part of the Industrial Master’s Programme […]

Kui tahad näha, kuidas sinu õppetööst on kohene ja reaalne kasu, siis kaalu läbida IT-tööstusmagistratuur Raitwoodis. Raitwood toodab ja turustab põhjamaisest okaspuust ehitus- ja viimistluspuitu. Nende Tartumaa täisautomaatne tootmiskompleks on Euroopa üks moodsamaid ning sealt ekspordivad nad oma toodangut enam kui 40 riiki Euroopas, Aasias, Austraalias ning Ameerikas. Oleks ju lahe magistritöös tõdeda, et tänu […]

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 […]

Reach-U on ettevõte, mis tegeleb tarkvaraarenduse ja andmeteadusega koostöös klientidega üle maailma. Reach-U on IT-tööstusmagistrantuuri veteran, kes on programmi partnerettevõte olnud selle algusest peale. Oma kogemusest programmis räägib Reach-U tegevjuht Teet Jagomägi. Mida tuleb teha ühel ettevõttel, et programmis osaleda? Kui ma õigesti mäletan, siis osalemiseks tuleb kandideerida. Kõige olulisem on aga hea välja näha, […]

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 […]