On 23 December, Veronika Plotnikova defended her PhD thesis on “FIN-DM: A Data Mining Process for the Financial Services”, which investigated standard data mining frameworks, their usage across different industries and associated gaps. Based on the results, the new process model FIN-DM was developed to support practitioners to conduct data mining in the financial services. […]

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 […]

By Dmytro Fishman, Junior Lecturer of Data Science The human organism is a profoundly complex mechanism, consisting of trillions of cells, each powered by about 42 million protein molecules that interact with one another in a gazillion of ways. Recently, scientists developed technologies (i.e. high-throughput screening) that enable us to listen and record data from […]

Lühidalt: ITTM kestab nüüd kaks semestrist (ehk ühe aasta) Neli tudengit on hetkel praktikal Pipedrive-s, üks Eesti Energias, üks Reach-U-s ITTM-i tootmissektorile suunatud pilootprogramm jätkub koostöös Columbus Eesti ja Barrusega Osalevate tudengite jaoks on endiselt suurim motivaator saada praktilist kogemust ettevõtetes Järgmise aasta programmi saab praktikapositsioone esitama hakata talvel Sul pole õrna aimu, mis on […]

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 […]

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 […]

Our faculty member, Stefania Tomasiello, lecturer of Artificial Intelligence, recently joined IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) as associate editor. IEEE TNNLS publishes articles that deal with the theory, design, and applications of neural networks and related learning systems. It is a premier journal in the field of Neural Networks and […]

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 Aleksander Parelo On January 28, the Industrial master’s students gathered virtually at Overall, where I introduced the company itself and the projects I worked on for the last year. Unfortunately, due to the virtual meeting, I could not give a tour of the Overall office, which most of the Industrial master’s students, who have […]

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 […]