Algorithms, Data Analytics and Machine Learning

Information technology is increasingly based on intelligent components that are based on models constructed automatically by machine learning methods. The problems faced in this type of machine learning tasks are computationally challenging, and the constantly increasing amounts of data in applications create additional demands for algorithmic performance.  The focus of the sub-programme is on efficient algorithms and mathematical modelling techniques for intelligent systems and their applications in analyzing data stemming from other sciences or the industry.  The theory and applications of efficient algorithms and intelligent systems are also studied from a more general point of view.

Students graduating from the sub-programme are typically employed as technical specialists or scientists.  The general methodological skills learned during the studies are useful not only in tasks that require development of new information processing methods, but also in projects that apply information technology, both in industry and academia.

Contact person: Jyrki Kivinen

Special tutor: Roman Yangarber