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 […]

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 […]

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 […]

Intervjueeris Raimond-Hendrik Tunnel Meie eelmine mängujämmide lugu andis ülevaate Tartu Ülikooli mängujämmidest ning kirjeldas nende käigus loodud märkimisväärseid mänge. Seekord kõneleme samal teemal arvutiteaduse instituudi hajussüsteemide nooremlektori Jürmo Mehisega. Jürmo on osalenud mitmetel jämmidel ning olnud paljude mängujämmide õhtujuht. Vestlesime tema huvidest, teest mängundusse ning mängujämmide ja Eesti mänguarenduse tulevikust. Tean, et sa tegeled päris […]

In short: IMP now lasts two semesters (i.e., one year) Four students currently doing their internship at Pipedrive, one at Eesti Energia, one at Reach-U IMP internship pilot for manufacturing companies still on-going in cooperation with Columbus Estonia and Barrus Getting hands-on experience at companies is still the main motivator for enrolled students Submission of […]

By Anastasiia Shevchenko The competitive advantage of a manufacturing company consists of the relation between the delivery time, price, quality and flexibility. The customer’s expectation of the best relation between the above factors triggers the company’s need to constantly monitor its processes, making them more efficient. When identifying bottlenecks, it is important to maintain objectivity […]

Another round of digital product management industry projects is successfully completed in the Sandbox! This semester we had four industry partners, and our student teams did excellent work in addressing the challenges and prototyping proposed solutions. SEB PankThe challenge: find a way how to help its clients on the journey towards a green home. During […]

27. jaanuaril kulmineerus esimene üliõpilaste ja gümnasistide võistlus Delta X, kus arvutiteaduse instituut pani välja viis vägevat võistlust, millest üks keskendus isejuhtivate sõidukite tehnoloogiale. Osalejad pidid masinõpet rakendades looma tarkvara, mis paneb nende mudelauto läbima etteantud raja kõige kiiremini.  Delta X isejuhtivate sõidukite võistluse eesmärk oli pakkuda üliõpilastele ja gümnasistidele võimalust töötada tarkvaraga, mis leiab […]

By Anastasiia Shevchenko The digitalisation of the manufacturing industry is a challenge that lots of countries are facing. There have been created different financial instruments[1], training programmes[2], software solutions[3], etc. developed for manufacturing companies by the government, public institutions, and other private companies in order to raise awareness and support digital transformation. However, it is […]

By Dima Fishman Machine learning is a study of computer algorithms capable of automatically learning ways to solve difficult problems from the existing data without being explicitly programmed. Over time machine learning methods have substantially contributed to human progress across many areas. Machine learning has been taught for many years in the Institute of Computer […]