R E G I S T R A T I O N D E A D L I N E
30 SEPTEMBER 2025
The Winter School in Data Literacy is a module of Certificate in Data Literacy, which aims to provide participants with the skills necessary to transform data into knowledge.
Participants of the Winter School in Data Literacy will be put into groups of 3 to 5 persons made up of participants from various ENHANCE universities.
Participants will be given an open project challenge in Data Literacy scope that will be reviewed by academic teachers from Warsaw University of Technology, Universitat Politècnica de València - UPV (Spain), Politecnico di Milano - Polimi (Italy).
Participation in the Winter School is free of charge.
The program is fully funded by the NAWA (Polish National Agency for Academic Exchange) project. Selected students will receive financial support covering both travel and accommodation expenses.
The Winter School in Data Literacy activity will be held in hybrid mode. A total of three modules will be delivered in online mode via MS Teams and one in-person module at Warsaw at Warsaw University of Technology
WHEN?
The Winter School in Data Literacy schedule is split into two sections:
Project Section
In accordance with the assumptions of the Problem Based Learning methodology, at the very beginning of the Winter School, students will be provided with a challenge. The challenge will be solved up to the end of the Winter School, gaining the necessary knowledge. Specifically, students will perform the project according to the Double Diamond method, going through the phases of redefinition, knowledge collection and synthesis, proper formulation of the research question, ideation, prototyping and testing. The design part will be reviewed several times during pitch sessions.
Guided tour of the laboratories of the Centre for Geospatial Analysis and Satellite Computing at the Astronomical and Geodetic Observatory in Józefosław on 4 November 2025.
At the center, students will see stationary laboratories, including: for testing laser scanners and digital cameras, navigation and location applications (including a VR/AR laboratory), GNSS analysis and a gravity laboratory (for measuring gravity acceleration), and a Mars field for testing rovers
Informal dinner on Tuesday, 4 November 2025 at 18:00
TUTORS AND SPEAKERS
An Associate Professor and member of the Departamento de Organización de Empresas at the Universitat Politècnica de València (Spain). He is Industrial Engineer from the UPV in 2008 and Mechanical Engineer from the ENSAM (France) in 2008 with Excellence Award. His research and teaching interests are supply chain management, operations management, optimization & simulation model design.
His professional experience is related to the design, implementation and improvement of operations management systems, having worked on projects for companies such as Ford Motor Company, Faurecia, Johnson Controls, Schneider Electric, NTT Data, etc. His research works have appeared in journals such as Production Planning & Control, Mathematics, Flexible Service & Manufacturing Journal, European Journal of Industrial Engineering, Sustainability, Central European Journal of Operations Research, and others.
Andrea Matta is Full Professor of Manufacturing and Production Systems at Department of Mechanical Engineering of Politecnico di Milano and Guest Professor at Shanghai Jiao Tong University. He has been visiting professor at Ecole Centrale Paris (France), University of California at Berkeley (USA), and Tongji University (China).
He is scientific responsible of the Research Area Design and Management of Manufacturing Systems at MUSP (Laboratory for Machine Tools and Production Systems). His research area includes analysis, design and management of manufacturing and health care systems. He has published 130+ scientific papers on international and national journals/conference proceedings.
He is Editor in Chief of Flexible Services and Manufacturing Journal since 2017, editorial board member of OR Spectrum journal and IEEE Robotics and Automation Letters journal. He is Co-Chair of the technical committee IEE RAS Sustainable Production Automation. He is member of scientific committee in several international conferences. He was awarded with the Shanghai One Thousand Talent and Eastern Scholar in 2013. He has been cited among the Leading Scholars in Production Research by International Journal of Production Research journal
Robert Nowak, DSc PhD MSc(CS), is an associate professor and head of the Artificial Intelligence Division in the Institute of Computer Science in the Faculty of Electronics and Information Technology at Warsaw University of Technology. Research areas include software engineering, bioinformatics, artificial intelligence and data fusion. He is involved in developing 30 software systems with efficient implementation of complex algorithms for WUT, European Defense Agency, Braster Co., mBank Co., Octagonet Co. and others. Author of 180 articles, 4 books, 2 patents. Author of 10 lectures (80 editions), supervises 60 theses. Project management (>20 years), Scrum Master, PRINCE2, RUP, TRIZ, UML, C++, SQL, Python, JavaScript, Java, R, Fortran, Pascal, Rust, microprocessors techniques. E-mail:
robert.nowak@pw.edu.pl
Robert Olszewski deals with the modeling of spatial information, extraction and acquisition of spatial information using artificial intelligence methods, as well as the subject of smart city, cartographic generalization, geostatistics, gamification and social geoparticipation. The results of many years of his scientific work have been published in several monographs and more than one hundred articles. Since 2011 a Professor at the Department of Geodesy and Cartography Warsaw University of Technology, since 2015 Head of the Chair of Cartography. A graduate of the TOP 500 Innovators program, a participant of training in commercialization of research at the Haas School of Business at the University of California at Berkeley. Member of the Rector's team of innovative forms of education - INFOX, conducts interdisciplinary project classes for students of Warsaw University of Technology using Design Thinking methodology. He works with business and government and self-government in the implementation of R&D projects and commercialization of interdisciplinary research in the field of geoinformation, computational intelligence, spatial data services, social geoparticipation, gamification, smart city, and spatial data mining.
Ph.D. (2009), M.Sc. (2005) degrees in computer science, both from Warsaw University of Technology. From 2005 Ph.D. student, from 2009 assistant, from 2010 assitant professor in the Institute of Control and Computation Engineering at the Warsaw University of Technology, Poland. Specialises in multi-agent decision support systems and innovative teaching methods (Challenge-based Learning, Design Thinking). Former head and member of the Rector’s team for Innovative Forms of Education at WUT. Laureate of the Medal of the National Education Commission.
Agnieszka Wendland, PhD, is Assistant Professor at WUT. Her area of research concerns among others spatial planning, urban regeneration, spatial analysis with the use of GIS tools, spatial data mining, social geoparticipation and design thinking. Her scientific output is mainly concerned with issues related to the use of geo-information in the formation and urban development of smart cities, as well as exploratory spatial data analysis and numerical simulation methods using spatial information. She is an author of 56 scientific papers, contributed to many research and development projects, including international (Horizon 2020, Digital Europe, Erasmus+).
Basic travel information can be found here:
- Public Transport System in Warsaw wtp.waw.pl
- Prices of the tickets in Warsaw public transport (zone 1) wtp.waw.pl
- Application how to get to warszawa.jakdojade.pl
- Polish Railway rozklad-pkp.pl
- Bus connections polskibus.com
AIRPORT
Chopin Airport in Warsaw. The website includes an interactive arrival/departure timetable and information on transportation.
To reach WUT, take the bus 188 in front of the Airport Exit gates and get off at the METRO POLITECHNIKA stop. When you get off from the bus, you will need to walk about 950 m to PL. POLITECHNIKI 1.
TAXIS IN WARSAW
Use only official companies (see below). Outside of Terminal 2 airport, there is a taxi rank. There, you will find official taxis waiting to take customers.
- City Taxi +48 22 848 88 88
- Wawa Taxi +48 22 333 44 44
- Ele Taxi +48 22 811 11 11
- MPT Taxi +48 22 19191
- Sawa Taxi +48 22 644 44 44
- Eco Car +48 123456789
There is also Uber and FreeNow. Receipts are available.
RAILWAY
To reach WUT from Central Railway Station, take the tram 10 in front of the CRS and get off at the Pl. POLITECHNIKI stop.
We recommend that participants use portals such as booking.com and airbnb to look for short term rentals in Warsaw.
We have compiled a list of hostels located near WUT and the city centre, within walking distance of WUT.
🌿 LoftHotel Sen Pszczoły (Piękna 66a) https://pl-pl.facebook.com/LofthotelSenPszczoly/
🌿 Emma (Wilcza 25/4) https://new-emma-hostel.hotel-warsaw.net/pl/#main
🌿 Warsaw Hostel Centrum (Emilii Plater 36a) https://warsawhostelcentrum.pl/pl/
🌿 Planet Hostel (Marszałkowska 1) https://planethostel.pl/
🌿 Chillout Hostel (Poznańska 7/5) https://chillouthostel.pl/
🌿 Hostel Lwowska 11 (Lwowska 11) https://hostellwowska11.pl/
You are requested to establish direct contact with them to book a room. These are only suggestions; you are free to browse the Internet and select an accommodation you prefer. Please make sure you book accommodation with a flexible cancellation policy, as neither the home nor host universities can offer any reimbursements in case of course cancellation.
Warsaw is the capital of Poland and its biggest city. The city was a witness of wars and the Warsaw Rising during the II World War (in 1944), during which it was almost completely destroyed. Rebuilt after the war, it has kept its historical atmosphere in the Old Town (which is included in the World Heritage List by UNESCO). Nowadays, Warsaw is Poland's business center with headquarters of many international companies.
The city is divided into 18 districts. WUT Main Campus is located in the most central district called "Śródmieście".
Discover Warsaw!
We really believe that you will be fine with just English but just in case you want to feel more secure, you can find here some of the Polish words and names you will probably encounter on your way.
Warsaw University of Technology - Politechnika Warszawska
student card - legitymacja studencka
Dean's Office / Student office - dziekanat
dean - dziekan
Main Building of WUT - Gmach Główny PW
faculty - wydział
dormitory - akademik / dom studencki
examination period - sesja
room / office - pokój
opening hours - godziny otwarcia
student - student
library - biblioteka
canteen - stołówka
bus - autobus
tram - tramwaj
ticket - bilet
public transport monthly card - karta miejska
airport - lotnisko
Central Railway Station - Dworzec Centralny
City center - Centrum
Good morning / Good afternoon - Dzień dobry
Goodbye - Do widzenia
Thank you - Dziękuję
Please - Proszę
Excuse me - Przepraszam
Sorry, I don't speak Polish - Przepraszam, nie mówię po polsku
I don't understand - Nie rozumiem
Do you speak English? - Czy mówisz po angielsku?
Participants who successfully complete the course and present their results will be awarded a certificate of participation in the ENHANCE Winter School - Data Literacy in Space with 4 ECTS equivalence.
Data Literacy: Winter school, blended course
Timing: 20-24 October & 27-31 October 2025 online + 3-7 November 2025 in person in Warsaw + 10-21 November 2025 online consultation & final presentation
Tutors: Prof. Andrea Matta, Ph.D. Julien Maheut, Ph.D. Robert Nowak, Ph.D. Piotr Pałka, Prof. Robert Olszewski, Ph.D. Agnieszka Wendland
Course level: B.Sc and M.Sc
Course type: hybrid mode with in-person in Warsaw and online via MS Teams
ECTS: 4 credit points
Organizing unit: Warsaw University of Technology
Teaching Methods
Acquisition of knowledge and skills will be implemented through the use of the following techniques:
- direct contact and transfer of knowledge by the tutor;
- site-specific research;
- product-oriented work;
- group work and exchange of thoughts;
- presentations and public discussions.
Assessment methods
- group and public presentations;
- discussions;
- engagement and project responsibility;
- individual (partial) project tasks.
Structure
The Winter School consists of four blocks (three online and one place-based in Warsaw). Participation in the School requires a prior preparation, including reading the materials provided by the Tutors and preparing a self-presentation (in accordance with the instructions provided). After the 5 weeks period Winter School ends, students will have to prepare projcts as a team work result.
Block 1 (online): October 20-24 2025
The online meetings will be devoted to getting to know each other by students and tutors (workshop, self-presentations). Students will be introduced to the basic knowledge of Python, data analysis and manipulation libraries, data visualization, stackoverflow, codium.
Block 2 (online): October 27-31 2025
In this part, students will be introduced to the machine learning concept (training, testing, validating, quality control, decision tree, linear regression, naive Bayes), tabular data, Nerual Networks, Convolutional
Block 3 (place-based, in Warsaw): November 3-7, 2025
During their stay in Warsaw, students will work in international teams on the project preparation using data literacy tools under space research topic. Work in teams will be supervised and supported by tutors. Each team will be assigned tutors. Additionally, mini-lectures introducing students to the techniques of solving complex project problems will be organized.
Block 4 (online): November 12-21, 2025
In this part, students will finish the design task and prepare their final version of a project. The tutors will support the teams in the process of preparing the final version of the project result. The projects prepared by students will be presented on our website.
Students will gain the skills and knowledge related to:
- Python programming focused on data analysis, transformation, manipulation, visualisation
- Using tools and platforms like: Codium and StackOverflow
- Machine learning algorithms (e.g. decision tree, linear regression, naive Bayes), training, testing, validating, quality control
- Neural Networks, Convolutional Neural Networks
- Image data processing
- Using Double Diamond methodology, teamworking
Follow the link below to register for Winter School:
Contact Ms Anna Smulska from Warsaw University of Technology:
Warsaw University of Technology / Center for International Cooperation
pl. Politechniki 1 room. 234
00-661 Warsaw, Poland
