III.2.2. Advanced Master’s Degree Programme – programme for the individual organisation of studies – supplementary call

Call for competition

Name: the individual organisation of studies under Action III.2.2. Advanced Master’s Degree Programme – supplementary call
Objective: to improve the quality of education in the disciplines of computer science and mathematics by enabling the best second-cycle students in the fields of mathematics, Data Science and Business Analytics, Machine Learning and Informatics and Econometrics to study in the best possible and most stimulating conditions
Applicant: students of the first year of the second-cycle studies in mathematics, Data Science and Business Analytics, Machine Learning and Informatics and Econometrics
Competition announcement date: 09.04.2024
Starting date of the call for applications: 22.04.2024
End date of the call for applications: 09.05.2024
Announcement of first round results (invitation to interviews): 22.05.2024
Interviews: 27.05-06.06.2024
Announcement of the results: 10.06.2024
Limit of participants qualified for the AMD programme: 8 places to be allocated for four fields, limited to 5 places per field, taking into account the number of places already allocated in the basic recruitment procedure
Form of submitting applications: only in electronic form, to the address IDUBZSM@mimuw.edu.pl

Rules of the programmeSelection committeeResults

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dr Piotr Hofman, Faculty of Mathematics, Informatics and Mechanics – chairperson
dr hab. Piotr Wójcik, prof. ucz., Faculty of Economic Sciences
dr hab. Katarzyna Kopczewska, prof. ucz., Faculty of Economic Sciences
dr hab. Paweł Goldstein, Faculty of Mathematics, Informatics and Mechanics
dr Zuzanna Szymańska, Interdisciplinary Centre for Mathematical and Computer Modelling
dr Jacek Cyranka, Faculty of Mathematics, Informatics and Mechanics

By the decision of the Programme Manager, the following applications received funding:

for the field: Mathematics

„Analiza Harmoniczna na Sferze Zespolonej: uogólnienie podejścia Burgaina” Adam Kaliński, Faculty of Mathematics, Informatics and Mechanics
„Opis ekwiwariantnego χy – rodzaju poprzez ekwiwariantną K-teorię hiperboliczną” Franciszek Nowak, Faculty of Mathematics, Informatics and Mechanics
„Egzotyczne dyfeomorfizmy sfer” Mateusz Kujawski, Faculty of Mathematics, Informatics and Mechanics

for the field: Data Science and Business Analytics

„Zastosowanie nowatorskich narzędzi przetwarzania języka naturalnego do analizy preferencji politycznych polskich parlamentarzystów” Bartosz Słysz, Faculty of Economic Sciences

for the field: Machine Learning

„Exploration and Generation of Antimicrobial Peptides Using Riemannian Brownian Motion in Diffusion Models” Adam Bielecki, Faculty of Mathematics, Informatics and Mechanics
„A gravity-based approach to increase realism of the generation of the latent space models” Jurand Prądzyński, Faculty of Mathematics, Informatics and Mechanics

for the field: Informatics and Econometrics

„Otoczenie przestrzenne firm technologicznych: perspektywy dla innowacyjności” Monika Kot, Faculty of Economic Sciences
„Wpływ czynnika geopolitycznego na rynek akcji w Polsce” Barbara Nawrot, Faculty of Economic Sciences
„Forecasting financial time series with machine learning and deep learning models” Dominik Stempień, Faculty of Economic Sciences
„Model behawioralny kursu walutowego równowagi polskiego złotego względem najważniejszych walut światowych w latach 2004 – 2024” Hubert Kwiatkowski, Faculty of Economic Sciences