Risto Hinno on hea näide sellest, kuidas karjäär võib võtta põneva pöörde. Varasemalt digiteenuste tellijana töötanud Risto otsustas süvendada oma teadmisi IT-valdkonnas ning asus õppima Tartu Ülikooli arvutiteaduse instituudi magistriõppekaval „IT mitteinformaatikutele“ . Õpingute käigus avanes talle arenduse ja andmeteaduse maailm sedavõrd kaasahaaravalt, et see viis ta lõpuks ka idufirmasse tööle. Oma kogemusloos jagab ta ausalt teekonda […]

Toomas Gross on suure ja mitmekülgse akadeemilise kogemusega antropoloog, kes on töötanud aastaid õppejõu ja teadlasena. Oma töös jõudis ta arusaamani, et nüüdisaegne teadus ja õppetöö eeldavad üha enam ka tehnoloogilist ning andmeteaduslikku kirjaoskust. Soov end proovile panna ja intellektuaalsest mugavustsoonist väljuda viis ta Tartu Ülikooli arvutiteaduse instituudi magistriõppekava „IT mitteinformaatikutele“ alusel õppima. Kogemusloos kirjeldab […]

Kaspar Kala läbis Tartu Ülikooli arvutiteaduse instituudi magistriõppekava „IT mitteinformaatikutele“. Varem on ta õppinud õigusteadust nii Eestis kui ka Hollandis ning praegu töötab projektijuhi, analüütiku ja majasisese juristina. Kaspar on justkui sild kahe valdkonna, IT ja õiguse vahel. Loe Kaspari kogemuslugu informaatika õppimisest. Enne informaatikaõppesse kandideerimist määratlesin end eelkõige juristina. Lõpetanud õigusteaduse bakalaureuseõpingud Tartu Ülikoolis ja […]

Lecturer of Applied AI Armando Vieira shares his thoughts on Medium, an online publishing platform. The dominant discourse on AI alignment rests on a quiet but catastrophic assumption: that morality can be imposed on systems that do not experience anything. The debate unfolds as if values were transferable objects — encoded, optimized, constrained — rather than lived […]

The dominant paradigm in modern AI rests on a deceptively simple premise: intelligence emerges from minimizing prediction error across vast datasets. We train neural networks to be accurate, to match patterns, to reduce loss functions. Yet this approach, for all its empirical success, may be fundamentally misaligned with the nature of intelligence itself. Here is […]

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 […]

We are currently in the process of significant changes in the communications paradigms. Among others, one of the changes is moving to cloud-based services instead of using local applications (Office365, Youtube, Spotify, etc.). We can argue about the motivation of this trend, but this allows us to provide the customers with the most up-to-date solutions […]

Estonia does not have many natural minerals or a significant population like many wealthy countries, but it has the most unicorns per capita globally. As most unicorns use technology to offer solutions for solving problems, we need more IT practitioners who can use computation power to solve various algorithmic issues.  “Thinking computationally is not anymore […]

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 […]

On the 15th of March, our doctoral student Yauhen Yakimenka defended his PhD thesis on the intersection of two different fields of computer science: error-correction codes and compressed sensing. Most of the information on the internet is now transmitted over fibre optics. It’s extremely fast, but it comes with a price: now the erros also […]

Institute of Computer Science Professor of Engineering Dietmar Pfahl has co-authored a paper “Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys”. This publication is an outcome of the NaPiRE (Naming the Pain in Requirements Engineering) project. The objective of the NaPiRE project is to establish a valid foundation for a […]