To strengthen and improve the key competencies in blockchain technology, our institute organized a BLISS workshop on November 9, which was attended by more than 65 participants from both the industry and the university. The aim of BLISS “Blockchain skills for ICT professionals” is to develop a blockchain course for ICT professionals, which helps to […]

This October the University of Tartu Institute of Computer Science, Garage48 and Startup Estonia organized a Cyber Security hackathon, which was attended by almost 100 developers, designers, experts, entrepreneurs and enthusiasts in order to create new cyber security solutions, for the benefit of humanity. Out of 17 pitched ideas 10 teams were formed. The winner […]

From 1st to 5th July 2019 the annual Cyber Security Summer School (C3S), which was organized by the Institute of Computer Science, took place in Voore, Estonia. The topic of the C3S was “Blockchain: Applications and Security”. The main objective included an introduction of the key concepts, principles and techniques on the blockchain technology, their […]

On the 26th of May, Irene Teinemaa defended her PhD on “Predictive and prescriptive monitoring of business process outcomes“, in which she addresses the question on how to train, evaluate and use predictive models for outcome-oriented predictive process monitoring. Every day, we are involved in various business processes. For instance, when booking a hotel, applying […]

Digital games producer Edvin Aedma tells us how one presentation from Keith Devlin inspired him to take up teaching game development and how it affected UniTartuCS. Sometimes before 2012, Keith Devlin visited Institute of Computer Science at University of Tartu and gave a rather fascinating lecture about the synergy between teaching mathematics and videogames. I […]

Institute of Computer Science PhD student Ilya Verenich defended his thesis on February 11. Here is an overview of his work.  Context. Modern enterprise systems collect a lot of data about the execution of the business processes they support. The widespread availability of such data in companies, combined with advances in machine learning, have led […]

Mozilla projekt Common Voice tegeleb kõneandmete korjamisega ühisloome teel. Erinevalt tekstiandmetest on kõneandmed palju harvemad ja kõneandmestikud palju väiksemad/kallimad. Teisest küljest sõltuvad nende kättesaadavusest ja suurusest kõnesünteesi ja kõnetuvastuse kvaliteet, eriti kui kasutada kaasaegseid süvaõppel põhinevaid lähenemisi. See on eriti oluline muu hulgas eesti keelele, mille puhul on kõneandmeid väga vähe. Hiljuti lisasime eesti keele […]