We are pleased to share good news that our Faculty has received the ECMI Teaching Center accreditation, confirming that the education offered by our Faculty within the Master's program in Applied Mathematics meets the model requirements of the ECMI organization.

We cordially invite you to our Faculty monthly coloquium! This time Venkatesan Guruswami from UC Berkeley will deliver a lecture entitled When and Why Do Efficient Algorithms Exist (for Constraint Satisfaction and Beyond)?

See you on Monday, June 30 at 11:00 in room 2180.

Recruitment for first-cycle studies is ongoing until July 9. We cordially invite you to study at MIM:

- Mathematics,

- Computer Science,

- Bioinformatics and Systems Biology.

On behalf of the Warsaw Branch of the Polish Mathematical Society and of the MIM Faculty, we cordially invite you to a lecture by this year's recipient of the Wacław Sierpiński Medal and Lecture, Professor Wiesława Nizioł (CNRS, Sorbonne Université).

The lecture, entitled "A half century of p-adic geometry", will take place at a special meeting of the Warsaw Branch of the Polish Mathematical Society, on Thursday, 12 June 2025, 16:30, room no. 2180 at MIM, Banacha 2.

We cordially invite you to our Choir's concert, which will take place on Friday, June 13 at 6:00 PM in room 2180.

This will be the 11th edition of our faculty music festival "Szereg Harmonicznych Korelacji".

See you there!

We warmly invite you to the upcoming "PhDOpen in Mathematics" series of lectures.

From Juna 3rd till 13th, Joseph Landsberg will give a minicourse on various aspects of the geometry and algebra of tensors: Geometry of tensors with applications to complexity

The next meeting of the faculty colloquium will take place on Thursday, 29th of May at 2:30 pm. in room 2180. This time Alexis Vasseur from University of Texas at Austin will give a talk "Stability of discontinuous flow for incompressible inviscid fluid". 

The upcoming PhD Open minicourse will be held on May 21-23.

Egor Kostylev from the University of Oslo will talk about GNNs - Graph Neural Networks a family of neural architectures that are naturally suited to learning functions on graphs.