Department of Mathematics and Systems Analysis
Department of Mathematics and Systems Analysis
Our main research areas are algebra and discrete mathematics, analysis, applied mathematics and mechanics, stochastics and statistics, and systems analysis and operations research. We offer major and minor studies at both bachelor's and master's levels and provide doctoral research training. Our graduates have been recruited by universities, research institutes, governmental agencies as well as companies in the financial, energy and transportation sectors.
For full information on the department, visit:
Our research groups:
Research groups working on algebra and discrete mathematics
Research groups working on mathematical analysis
Research groups working on applied mathematics and mechanics
Research groups working on stochastics and statistics
Research groups working on systems and operations research.
News
New research ethics recommendations for AI and nature and environment
Researchers: stay informed of the new recommendations and other research integrity guidance
Aalto ranks third in Europe for university spinout funding – this is the recipe for creating new industries
Aalto University's spinout companies, including quantum company IQM and satellite company ICEYE, have raised approximately EUR 2.6 billion in funding since 2010.
Wise foresight strengthens the future of the campus
A climate risk assessment prepared for the Aalto University campus identifies key threats and opportunities related to climate change and evaluates their impacts under various future scenarios.
A case for Finland’s quantum sovereignty
Finland’s early investment into fundamental research in quantum science and technology has resulted in the creation of an entirely new domestic industry. Now the country is charting a path forward for full value-chain ownership.Events
Measuring What We Mean: Neural Properties and the Tools That Stand In for Them
Daniele Marinazzo (Ghent University) will discuss the conceptual tension between the neural properties we aim to characterize and the statistical or mathematical tools we use as proxies for them, highlighting how generative modeling and forward simulation can help clarify which claims about neural mechanisms our measurements can actually support.
Public defence, Engineering Physics, MSc Evgeniia Ponomareva
Choosing the right level of complexity for modeling light ion irradiation of fusion reactor walls.
AQP Seminar: Photonic Experiments on Quantum Measurement: Reversing, Recycling, and Delocalizing Measurements
Aalto Quantum Physics Seminar (Kide)
